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1Machine Learning Engineer
| Trained, validated, and deployed a model for [MASK] peptide generation using an aminoacids language model built on [MASK]. The model helps bio-engineers and biologists to find new medicine as an alternative to [MASK]. | Trained, validated, and deployed a model for synthetic peptide generation using an aminoacids language model built on TensorFlow. The model helps bio-engineers and biologists to find new medicine as an alternative to antibiotics. |
5BI Engineer
| Built a pipeline using [MASK] in order to ingest, [MASK], and perform present value calculations of the Benefit Payments Reserve according to IAS19 guidelines for the client companies. | Built a pipeline using Python in order to ingest, encrypt, and perform present value calculations of the Benefit Payments Reserve according to IAS19 guidelines for the client companies. |
37Junior Business Intelligence Consultant
| Created a [MASK] system using association rules (market basket analysis: products usually bought together) with SQL Server Analysis Services for a retail company provider in Panamá. | Created a recommender system using association rules (market basket analysis: products usually bought together) with SQL Server Analysis Services for a retail company provider in Panamá. |
11BI Analyst
| Migrated and tested 50+ [MASK] procedures using SQL [MASK] and [MASK] database. | Migrated and tested 50+ stored procedures using SQL Server and Oracle database. |
10Software Engineer
| Designed and socialized [MASK] REST APIs and [MASK] Model. | Designed and socialized DaaS REST APIs and Resource Model. |
25Master’s Course Designer
| "Created a ""MLOps"" course for Applied [MASK] Intelligence learning program: automated [MASK], containers & [MASK], edge computing & devices, CICD for [MASK] learning models, IaC, model [MASK] & monitoring, ML [MASK] services, ML lifecycles, among others." | "Created a ""MLOps"" course for Applied Artificial Intelligence learning program: automated pipelines, containers & orchestration, edge computing & devices, CICD for machine learning models, IaC, model logging & monitoring, ML cloud services, ML lifecycles, among others." |
24Data Ops/Data Engineer
| Applied changes to infrastructure using different tools like Chef, Ansible, and [MASK] for the new components, adapting the data [MASK] to the newest Infrastructure As Code best practices, and reducing new [MASK] launch time. | Applied changes to infrastructure using different tools like Chef, Ansible, and Terraform for the new components, adapting the data department to the newest Infrastructure As Code best practices, and reducing new instances launch time. |
7Full Stack Developer
| Built a video chat web application within a [MASK] coin marketplace by implementing an RTMP server cluster for HLS video [MASK]; and Node.js with socket.io for a real-time experience inside the chat. (LAMP, Nginx, load balancer, RTMP, web [MASK]). | Built a video chat web application within a virtual coin marketplace by implementing an RTMP server cluster for HLS video streaming; and Node.js with socket.io for a real-time experience inside the chat. (LAMP, Nginx, load balancer, RTMP, web sockets). |
14Information Governance Analyst
| Kept and maintained the [MASK] of data sources and applications using [MASK] systems. | Kept and maintained the inventory of data sources and applications using inhouse systems. |
35Senior Business Intelligence
| Built dashboards to centralize data from multiple sources (SAP BOBJ and [MASK]) in order to improve business information management and reporting consumption. Performed tasks such as requirements gathering, data cleansing, [MASK] development, data modeling, KPIs definition and measurement, and data visualization. | Built dashboards to centralize data from multiple sources (SAP BOBJ and PowerBI) in order to improve business information management and reporting consumption. Performed tasks such as requirements gathering, data cleansing, ETL development, data modeling, KPIs definition and measurement, and data visualization. |
1Machine Learning Engineer
| Implemented multiple [MASK] to detect landmarks and other [MASK] (such as cars, buses, people, bicycles) around vehicles for a [MASK] company application. | Implemented multiple models to detect landmarks and other objects (such as cars, buses, people, bicycles) around vehicles for a transportation company application. |
7Full Stack Developer
| Improved [MASK] times up to 10% by implementing [MASK] cached responses. | Improved response times up to 10% by implementing Redis cached responses. |
12Data Visualization and Business Intelligence Analyst
| Generated ad hoc [MASK] supporting [MASK] quality issues resolution or seizing opportunities that require quick response. | Generated ad hoc reports supporting data quality issues resolution or seizing opportunities that require quick response. |
0Data Engineer
| Constructed [MASK] for applications [MASK] in test and production environments using gitlab CI as a [MASK] tool. | Constructed pipelines for applications deployment in test and production environments using gitlab CI as a DevOps tool. |
32Freelance Computer Vision Engineer
| Developed a command [MASK] tool for automatic image layer-extraction for [MASK] processes. | Developed a command console tool for automatic image layer-extraction for manufacturing processes. |
13Innovation and Software Development Manager
| Supervised the [MASK] and implementation of [MASK] applications for [MASK] and Android. | Supervised the development and implementation of mobile applications for iOS and Android. |
26Engineer
| Developed a web [MASK] to track parking lots for the employees using .net ([MASK]) as a backend language and [MASK] (Angular JS) as a web [MASK]. | Developed a web application to track parking lots for the employees using .net (C) as a backend language and Javascript (Angular JS) as a web application. |
1Machine Learning Engineer
| Guided a Bachelor thesis focused on applying [MASK] networks to classify tree images from Peru Amazonia. | Guided a Bachelor thesis focused on applying neural networks to classify tree images from Peru Amazonia. |
19Pricing Analyst
| Developed pricing [MASK] for automated pricing of groceries and perishable products on an [MASK] startup. | Developed pricing strategies for automated pricing of groceries and perishable products on an e‑commerce startup. |
31IT Analyst
| Designed, [MASK], and deployed monitoring [MASK] on the cloud, hybrid, and on-premise [MASK]. | Designed, developed, and deployed monitoring strategies on the cloud, hybrid, and on-premise servers. |
1Machine Learning Engineer
| Developed Arabic Chatbots for restaurant [MASK]. | Developed Arabic Chatbots for restaurant services. |
3Senior Data Engineer
| Created data [MASK] in NIFI, taking AWS [MASK] as a source, cleaning and creating variables along the way, helping to save costs by 70% thanks to the change of methodology in the [MASK] and loading of the data. | Created data flows in NIFI, taking AWS S3 as a source, cleaning and creating variables along the way, helping to save costs by 70% thanks to the change of methodology in the extraction and loading of the data. |
0Data Engineer
| [MASK] and maintained the companys main data [MASK] using BigQuery. Improving the overall performance of [MASK], website and customer response by 300%. | Created and maintained the companys main data warehouse using BigQuery. Improving the overall performance of dashboards, website and customer response by 300%. |
5BI Engineer
| Created OLAP Models and [MASK] in order to answer business questions whose answers can lead to new [MASK] and decisions based on [MASK] and Inmon modeling guidelines using Power BI to generate the Dashboards for the sales department of a gas service provider company. | Created OLAP Models and Dashboards in order to answer business questions whose answers can lead to new strategies and decisions based on Kimball and Inmon modeling guidelines using Power BI to generate the Dashboards for the sales department of a gas service provider company. |
41Data Scientist Research
| Researched, tested, and compared multiple state of the art models that focused on applying [MASK] to protein sequences, and which would return [MASK]representations that could be [MASK] to other machine learning tasks. | Researched, tested, and compared multiple state of the art models that focused on applying NLP to protein sequences, and which would return embeddingsrepresentations that could be fed to other machine learning tasks. |
39Senior Back-End Developer
| Supervised software programming and development of documentation using [MASK] and [MASK] Documentation tools. | Supervised software programming and development of documentation using Jira and Gitlab Documentation tools. |
0Data Engineer
| Implemented 6 custom Fivetran connections to consume third-party [MASK] using [MASK] functions (Python). | Implemented 6 custom Fivetran connections to consume third-party APIs using Lambda functions (Python). |
4Data Scientist
| Trained and [MASK] classification models for customer churn in savings [MASK]. | Trained and backtested classification models for customer churn in savings accounts. |
1Machine Learning Engineer
| Developed a LayoutLMv2 [MASK] model using python, pytorch and [MASK] Face leveraging on GCP Compute Engine, improving [MASK] and efficiency of extracting and parsing information from PDFs using MLFlow as [MASK] tracking on Databricks. | Developed a LayoutLMv2 NLP model using python, pytorch and Hugging Face leveraging on GCP Compute Engine, improving accuracy and efficiency of extracting and parsing information from PDFs using MLFlow as experiment tracking on Databricks. |
5BI Engineer
| Created an [MASK] in Python that performs macroeconomic valuations for the Analytics Team in order to use it in the other projects requiring [MASK] calculations for a [MASK] consultant company. | Created an API in Python that performs macroeconomic valuations for the Analytics Team in order to use it in the other projects requiring actuarial calculations for a Financial consultant company. |
42Sr. Software Data Engineer
| Designed and implemented an [MASK] index to store the results from the machine learning [MASK]. | Designed and implemented an ElasticSearch index to store the results from the machine learning models. |
49Product Manager
| Led all the [MASK] of products for electronic games, hiring the [MASK] team, design and technical support, as well as conducting the training of them and conducting them in their professional development. During this time I managed to lead the expansion of the TRDA group to the [MASK] of Brazil, we became one of the biggest developers of [MASK] games and equipment of the sector. | Led all the creation of products for electronic games, hiring the development team, design and technical support, as well as conducting the training of them and conducting them in their professional development. During this time I managed to lead the expansion of the TRDA group to the South of Brazil, we became one of the biggest developers of electronic games and equipment of the sector. |
1Machine Learning Engineer
| [MASK] the MLOps [MASK] group that aims to satisfy MLOps necessities within the different projects being [MASK] internally. Actively managing a team of 8 expert engineers to deliver [MASK] insights and to propose & conceive new MLOps solutions. The group is actively responding to new requests for training purposes and expert [MASK]. | Created the MLOps expertise group that aims to satisfy MLOps necessities within the different projects being developed internally. Actively managing a team of 8 expert engineers to deliver MLOps insights and to propose & conceive new MLOps solutions. The group is actively responding to new requests for training purposes and expert guidance. |
4Data Scientist
| Participated in the software development team projects, collaborating often with backend developers, business analysts, and UXUI [MASK]. | Participated in the software development team projects, collaborating often with backend developers, business analysts, and UXUI designers. |
43Industrial Improvement Intern
| Performed Lab product specification [MASK] using SVM, HGB and [MASK]. | Performed Lab product specification predictions using SVM, HGB and MARS. |
0Data Engineer
| Developed a [MASK] [MASK] with [MASK] using Serverless architecture (AWS Lambda) to provide data to the web applications. | Developed a REST API with Python using Serverless architecture (AWS Lambda) to provide data to the web applications. |
23Freelance Web Developer
| Implemented personal websites using [MASK] Functions, Firestore and [MASK]. | Implemented personal websites using Firebase Functions, Firestore and Hosting. |
14Information Governance Analyst
| Created new protocols to ensure data [MASK] checks and follow up on data [MASK] issues. | Created new protocols to ensure data quality checks and follow up on data quality issues. |
20Senior Big Data Engineer
| Designed and built [MASK] and scalable data pipelines to support Near-Real Time Stream processing (up to 260K eventssec) and batch processing with Apache [MASK], Apache Beam, [MASK] to create a KnowledgeIdentity Graph that allowed for a 360-degree view of the users for the largest TV Broadcast company in Latin America. | Designed and built microservices and scalable data pipelines to support Near-Real Time Stream processing (up to 260K eventssec) and batch processing with Apache Spark, Apache Beam, Hadoop to create a KnowledgeIdentity Graph that allowed for a 360-degree view of the users for the largest TV Broadcast company in Latin America. |
7Full Stack Developer
| Investigated, designed, built and deployed a scalable Notifications Engine, supporting delivering email, in-apppush notifications using [MASK], DRF, Celery, [MASK], Batch and Mailgun which led to increasing 23% in user engagement. | Investigated, designed, built and deployed a scalable Notifications Engine, supporting delivering email, in-apppush notifications using Django, DRF, Celery, RabbitMQ, Batch and Mailgun which led to increasing 23% in user engagement. |
15Operations Specialist
| Coordinated the implementation of [MASK] [MASK] to replace Excel and Google Sheets as a reporting and dashboarding tool for the operations and administrative departments in an IT and software [MASK] company; it enabled more stethical storytelling dashboards; worked alongside delivery managers to define designs. | Coordinated the implementation of Power BI to replace Excel and Google Sheets as a reporting and dashboarding tool for the operations and administrative departments in an IT and software development company; it enabled more stethical storytelling dashboards; worked alongside delivery managers to define designs. |
23Freelance Web Developer
| Ongoing skill development on [MASK] like React, Vue and [MASK]. | Ongoing skill development on frameworks like React, Vue and Angular. |
0Data Engineer
| Built a US Household Dataset using Databricks, QGIS, Apache [MASK] and Proprietary Library to improve the current expensive Infousa household dataset for current projects and potential sales. | Built a US Household Dataset using Databricks, QGIS, Apache Sedona and Proprietary Library to improve the current expensive Infousa household dataset for current projects and potential sales. |
2Data Analyst
| Presented [MASK] reports using [MASK] Data Studio to different areas of the company. | Presented interactive reports using Google Data Studio to different areas of the company. |
5BI Engineer
| Implemented a [MASK] using [MASK] to ingest, encrypt, and perform the calculation of the bankruptcy risk according to IFRS guidelines for client banks keeping the regulatory issues in Colombia. | Implemented a pipeline using Python to ingest, encrypt, and perform the calculation of the bankruptcy risk according to IFRS guidelines for client banks keeping the regulatory issues in Colombia. |
16Senior Machine Learning Engineer
| Researched [MASK] size reduction methods such as [MASK] and distillation. Developed distillation guide in PyTorch, and Pytorch Lightning to make models [MASK] enough to be used optimally at edge devices ([MASK] phones). | Researched model size reduction methods such as quantization and distillation. Developed distillation guide in PyTorch, and Pytorch Lightning to make models small enough to be used optimally at edge devices (mobile phones). |
20Senior Big Data Engineer
| Mentored and trained developers in various fields of expertise, such as [MASK] and data [MASK], contributing to faster release cycle times and individual growth. | Mentored and trained developers in various fields of expertise, such as software and data engineering, contributing to faster release cycle times and individual growth. |
15Operations Specialist
| Assessed daily Ad Hoc data analysis in Excel to ensure [MASK] and loss efficiency within ongoing and potential software development and [MASK] projects, forecasting [MASK] results for the entire projects [MASK] and analyzing deviations. | Assessed daily Ad Hoc data analysis in Excel to ensure profit and loss efficiency within ongoing and potential software development and implementation projects, forecasting financial results for the entire projects lifetime and analyzing deviations. |
10Software Engineer
| Re-designed the entire architecture using [MASK] and Apache Kafka to enable a better workload process, [MASK] processing time from hours to minutes, and increasing efficiency and scalability. | Re-designed the entire architecture using SQL and Apache Kafka to enable a better workload process, reducing processing time from hours to minutes, and increasing efficiency and scalability. |
9CTO and Back-End Developer
| Participated at StartupGrind 2019 in Silicon Valley as an exhibitor project. | Participated at StartupGrind 2019 in Silicon Valley as an exhibitor project. |
3Senior Data Engineer
| Developed a project aggregating transactional data into [MASK] data through the raw, staging and service layers of the data lake for Slow Storage using [MASK] and Python, giving a more complete view to the analysis of the information for the [MASK] payments company. | Developed a project aggregating transactional data into analytical data through the raw, staging and service layers of the data lake for Slow Storage using Spark and Python, giving a more complete view to the analysis of the information for the electronic payments company. |
50Software Developer
| Built [MASK] performance monitor [MASK] Java to collect SNMP metrics (CPURAMDisk Utilization, Network IO) and send them via REST to a Report & Capacity Planning web [MASK] | Built a performance monitor in Java to collect SNMP metrics (CPURAMDisk Utilization, Network IO) and send them via REST to a Report & Capacity Planning web application |
21Analytics Engineer
| Consumed and transformed data to produce aggregated [MASK], store data and create real-time [MASK] using Python, AWS [MASK], AWS S3 and [MASK]. | Consumed and transformed data to produce aggregated statistics, store data and create real-time dashboards using Python, AWS Kinesis, AWS S3 and Splunk. |
0Data Engineer
| Developed [MASK] and OLAP Models using REST APIs, SQL, Python and Spark to deliver cleansed, trustable and available data for the C-level stakeholders and [MASK] in order to answer business questions that can lead to [MASK] decisions for a specialized payment and collection [MASK]. | Developed ETLs and OLAP Models using REST APIs, SQL, Python and Spark to deliver cleansed, trustable and available data for the C-level stakeholders and analysts in order to answer business questions that can lead to efficient decisions for a specialized payment and collection platform. |
17Data Scientist and Sr. Commercial Intelligence Analyst
| Developed [MASK] methods to aid customer segmentation in marketing initiatives using [MASK]. | Developed clustering methods to aid customer segmentation in marketing initiatives using R. |
27Logistics Analyst
| Created BI [MASK] based on historical data from the acquisition department that enabled [MASK] decision making to improve raw material planning, managing and procurement processes with national and [MASK] suppliers. | Created BI dashboards based on historical data from the acquisition department that enabled data-driven decision making to improve raw material planning, managing and procurement processes with national and international suppliers. |
1Machine Learning Engineer
| Extracted data from multiple sensors (GPS, IMU, Cameras) using [MASK] to identify certain lanes of interest and potential infractors within the lanes, improving buses’ [MASK] on a transportation [MASK] application. | Extracted data from multiple sensors (GPS, IMU, Cameras) using Python to identify certain lanes of interest and potential infractors within the lanes, improving buses’ geolocation on a transportation company application. |
11BI Analyst
| Created data model and online [MASK] for the internal tax department using ASP.NET Core and SQL Server | Created data model and online application for the internal tax department using ASP.NET Core and SQL Server |
2Data Analyst
| Created and [MASK] Factored’s first [MASK] event to the public called Learning Fest. | Created and executed Factored’s first learning event to the public called Learning Fest. |
22Operations Maintenance Engineer
| Led and participated in the work of a team of employees in the operations and [MASK] area of the plant’s production equipment to reduce gas [MASK] downtime. | Led and participated in the work of a team of employees in the operations and maintenance area of the plant’s production equipment to reduce gas turbine downtime. |
3Senior Data Engineer
| Maintained and developed [MASK] workflows using Airflow with Databricks using Python and SQL for the core data team for one of the worlds leading mobile game developers and publishers. | Maintained and developed ETL workflows using Airflow with Databricks using Python and SQL for the core data team for one of the worlds leading mobile game developers and publishers. |
36Junior Backend Developer
| Built a routing application optimizing fuel costs rather than arrival time or total distance reducing trip costs to 70% using [MASK], Node JS, [MASK], HereMaps API, Google Maps API for a logistics company. | Built a routing application optimizing fuel costs rather than arrival time or total distance reducing trip costs to 70% using Python, Node JS, SQL, HereMaps API, Google Maps API for a logistics company. |
28Software Developer Engineer
| Designed and developed a backup [MASK] web application using Django and [MASK] to enable back-up job oversight from a central [MASK]. This reduced the [MASK] technicians spent monitoring by over 60% for a [MASK] solutions company in Jamaica. | Designed and developed a backup monitoring web application using Django and React to enable back-up job oversight from a central console. This reduced the time technicians spent monitoring by over 60% for a technical solutions company in Jamaica. |
4Data Scientist
| Evaluated and maintained debt [MASK] models that helped to prioritize customers and allocate resources by estimating the probability of [MASK] using PowerBI, Python, and SAS-MRM. | Evaluated and maintained debt collection models that helped to prioritize customers and allocate resources by estimating the probability of payment using PowerBI, Python, and SAS-MRM. |
2Data Analyst
| Created a clusterization model using [MASK] to [MASK] clients consumption behavior for a database of a shopping center with + 800k customers. Built a [MASK] dashboard linking demographic and consumption data and designed [MASK] that enable generation of insights. | Created a clusterization model using Scikit-Learn to categorize clients consumption behavior for a database of a shopping center with + 800k customers. Built a Tableau dashboard linking demographic and consumption data and designed visualizations that enable generation of insights. |
0Data Engineer
| Built a pipeline using Spark, S3, and AWS Lambda to [MASK] publicly available Telco Provider reviews. utilizing state-of-the-art techniques to extract concepts, refine them through interaction with domain experts, and detect their [MASK] in customer reviews, also calculating the importance of each concept on the providers [MASK] and enabling analysts to explore the results using a Tableau dashboard for one of the largest technology, media and telco (TMT) [MASK] firms in the world. | Built a pipeline using Spark, S3, and AWS Lambda to scrape publicly available Telco Provider reviews. utilizing state-of-the-art techniques to extract concepts, refine them through interaction with domain experts, and detect their presence in customer reviews, also calculating the importance of each concept on the providers rating and enabling analysts to explore the results using a Tableau dashboard for one of the largest technology, media and telco (TMT) consultant firms in the world. |
0Data Engineer
| Created QA reports, [MASK] and monitors providing daily updates for the [MASK] team using Google [MASK] and Microsoft Power BI. | Created QA reports, dashboards and monitors providing daily updates for the analytics team using Google BigQuery and Microsoft Power BI. |
18Business Intelligence Developer
| Designed and deployed a [MASK] boosting model using XGBoost to predict users’ payment behavior enabling the [MASK] department of one of the biggest oil and [MASK] companies in Colombia to develop [MASK] incentive programs. Decrease by 10% the number of [MASK] in arrears. | Designed and deployed a gradient boosting model using XGBoost to predict users’ payment behavior enabling the sales department of one of the biggest oil and gas companies in Colombia to develop payment incentive programs. Decrease by 10% the number of users in arrears. |
0Data Engineer
| Developed [MASK] endpoints (using [MASK]) deployed over a [MASK] container to extract data from a [MASK] database. | Developed API endpoints (using Flask) deployed over a Docker container to extract data from a PostgreSQL database. |
8DevOps Engineer
| Planned and [MASK] migrations on AWS from classic to VPC technologies. | Planned and executed migrations on AWS from classic to VPC technologies. |
30Data Engineer & Architect
| Participated in the creation of Workflows for [MASK] repositories and CICD Pipelines. | Participated in the creation of Workflows for Github repositories and CICD Pipelines. |
2Data Analyst
| Created forecast models using [MASK] to predict operating year figures based on historical data stored in flat files and SQL servers; [MASK] forecasts enhanced accounting and financial planning for IFRS9. | Created forecast models using R to predict operating year figures based on historical data stored in flat files and SQL servers; forecasts enhanced accounting and financial planning for IFRS9. |
1Machine Learning Engineer
| Deployed [MASK] models with [MASK] framework on AWS ECS and set up a CICD [MASK] with Github Actions ensuring seamless deployment and efficient updates within the talent acquisition platform. | Deployed NLP models with FastAPI framework on AWS ECS and set up a CICD pipeline with Github Actions ensuring seamless deployment and efficient updates within the talent acquisition platform. |
34Analytics Consultant
| Designed automated commercial performance reports using statistical and business [MASK] tools to produce [MASK] that enable managers to make strategic [MASK]. | Designed automated commercial performance reports using statistical and business intelligence tools to produce insights that enable managers to make strategic decisions. |
4Data Scientist
| Wrote Python libraries used by fellow data [MASK] to reduce boilerplate [MASK] during NLP data [MASK] and prototyping (to calculate sentence [MASK] with pretrained models, and to calculate information [MASK] metrics). | Wrote Python libraries used by fellow data scientists to reduce boilerplate code during NLP data analysis and prototyping (to calculate sentence embeddings with pretrained models, and to calculate information retrieval metrics). |
8DevOps Engineer
| Designed and implemented distributed AWS API [MASK] strategies to deal with more than 20 [MASK]. | Designed and implemented distributed AWS API Gateway strategies to deal with more than 20 microservices. |
16Senior Machine Learning Engineer
| Developed [MASK] text classification inference entry point and model monitoring using [MASK]. The application used IaC with Terraform, and CICD using [MASK] Actions. For model [MASK], sentence embeddings were extracted using [MASK] and applied anomaly detection models on these features using Pandas, Numpy and [MASK]. For the General project, multiple deployment strategies such as rolling update and bluegreen (canary and linear) were applied on AWS. | Developed NLP text classification inference entry point and model monitoring using DistillBERT. The application used IaC with Terraform, and CICD using Github Actions. For model monitoring, sentence embeddings were extracted using PyTorch and applied anomaly detection models on these features using Pandas, Numpy and Scikit-learn. For the General project, multiple deployment strategies such as rolling update and bluegreen (canary and linear) were applied on AWS. |
2Data Analyst
| Analyzed the financial and operational [MASK] of the business using [MASK] and [MASK] learning. | Analyzed the financial and operational performance of the business using Python and supervised learning. |
33Undergraduate Researcher
| Completed a bibliometric analysis about data and text mining techniques from [MASK] literature creating a compendium that became the basis for future investigations about [MASK] analysis. | Completed a bibliometric analysis about data and text mining techniques from scientific literature creating a compendium that became the basis for future investigations about data analysis. |
9CTO and Back-End Developer
| Co-founded a [MASK] startup along with two other partners. | Co-founded a tech startup along with two other partners. |
44Data Science Analyst
| Extracted data through [MASK] and stored it in on-premises Data [MASK] and cloud Data Lakes while wrangling it with Azure Synapse and Apache Spark. | Extracted data through ETLs and stored it in on-premises Data Warehouses and cloud Data Lakes while wrangling it with Azure Synapse and Apache Spark. |
10Software Engineer
| Integrated 3rd party [MASK] delivering cutting edge retail investment experiences. | Integrated 3rd party APIs delivering cutting edge retail investment experiences. |
2Data Analyst
| [MASK] the implementation of the Analytics Engineering Initiative [MASK] the company. | Led the implementation of the Analytics Engineering Initiative inside the company. |
47Machine Learning Trainee
| Got intensive training in state of the [MASK] techniques in Machine Learning and Deep Learning, as well as inmersion in [MASK] Learning frameworks to solve different regression and classification [MASK]. | Got intensive training in state of the art techniques in Machine Learning and Deep Learning, as well as inmersion in Deep Learning frameworks to solve different regression and classification problems. |
1Machine Learning Engineer
| Developed model [MASK] and functional web applications features ([MASK] solution, in-house serialization, and serving). Hosted the solution within a [MASK] Kubernetes Cluster, automated deployment process using Jenkins and [MASK] Registry solutions, and built main codebase and structures using OOP to optimize [MASK] over large amounts of data [MASK]. | Developed model infrastructure and functional web applications features (storage solution, in-house serialization, and serving). Hosted the solution within a GCP Kubernetes Cluster, automated deployment process using Jenkins and Artifacts Registry solutions, and built main codebase and structures using OOP to optimize performance over large amounts of data transformations. |
40Teaching Assistant
| Taught introductory course in [MASK] and statistics, and conducted the [MASK] section of a course in microeconomics and game theory. | Taught introductory course in probability and statistics, and conducted the discussion section of a course in microeconomics and game theory. |
0Data Engineer
| Implemented a [MASK] model in a Cloud API using Python ([MASK]) to extend the access of the data, this [MASK] was able to [MASK] an alternative financial risk score for clients. | Implemented a predictive model in a Cloud API using Python (Flask) to extend the access of the data, this model was able to forecast an alternative financial risk score for clients. |
3Senior Data Engineer
| Designed documentation to re-engineer the data replication [MASK] using CDC architecture and leveraging Python, [MASK], PySpark, Airflow, Redshift and Kafka as the [MASK] broker, utilizing AWS services such as S3 and EMR for Spark to [MASK] efficiency and scalability. | Designed documentation to re-engineer the data replication platform using CDC architecture and leveraging Python, Pandas, PySpark, Airflow, Redshift and Kafka as the message broker, utilizing AWS services such as S3 and EMR for Spark to improve efficiency and scalability. |
4Data Scientist
| Helped the business understand the intricacies of existing models and [MASK] in their use, current [MASK] and followed-up to identify possible loss of [MASK] power. | Helped the business understand the intricacies of existing models and advice in their use, current performance and followed-up to identify possible loss of predictive power. |
11BI Analyst
| Created a predictive [MASK] to identify payment defaults and possible [MASK] card fraud using SAS Miner [MASK] trees, neural [MASK], and linear and logistic [MASK] with a 90% [MASK]. | Created a predictive model to identify payment defaults and possible credit card fraud using SAS Miner decision trees, neural networks, and linear and logistic regression with a 90% accuracy. |
0Data Engineer
| Designed an ETL automated [MASK] to obtain public data stored in a [MASK] database (PostgreSQL), where an [MASK] of 93.3% of the time was [MASK] in each download. | Designed an ETL automated process to obtain public data stored in a relational database (PostgreSQL), where an average of 93.3% of the time was reduced in each download. |
38Senior Platform Engineer
| Managed [MASK] dojos to facilitate seamless and rapid framework adoption, including [MASK], Ktor, [MASK], Postgres, [MASK], Schema Registry, [MASK], and AWS, by N26 Product teams. | Managed coding dojos to facilitate seamless and rapid framework adoption, including Kotlin, Ktor, Flyway, Postgres, Kafka, Schema Registry, Datadog, and AWS, by N26 Product teams. |
13Innovation and Software Development Manager
| Designed and [MASK] a career path for technical teams, including professional [MASK], benefits, and goals. | Designed and implemented a career path for technical teams, including professional development, benefits, and goals. |
3Senior Data Engineer
| Implemented a data [MASK] in-house library using [MASK] Great Expectation library, enabling validation of [MASK] for all data teams across the company. | Implemented a data quality in-house library using Pythons Great Expectation library, enabling validation of workflows for all data teams across the company. |
2Data Analyst
| [MASK] PowerBI dashboards to analyze and visualize KPIs to [MASK] the [MASK] of targeted sales based on data for different products. | Built PowerBI dashboards to analyze and visualize KPIs to maximize the effectiveness of targeted sales based on data for different products. |
12Data Visualization and Business Intelligence Analyst
| Designed and implemented Machine [MASK] models pipelines to deploy them into [MASK] making them available to be consumed by different [MASK] and user friendly. | Designed and implemented Machine Learning models pipelines to deploy them into production making them available to be consumed by different audiences and user friendly. |
0Data Engineer
| Managed and coached a 3 [MASK] team in the Data and Insights team using Asana as a work [MASK] tool and achieving over 90% total satisfaction from team [MASK] and final users. | Managed and coached a 3 person team in the Data and Insights team using Asana as a work management tool and achieving over 90% total satisfaction from team members and final users. |
8DevOps Engineer
| Implemented all of the cross-functional monitoring, [MASK], and alerts to improve [MASK] and issue resolution. | Implemented all of the cross-functional monitoring, dashboards, and alerts to improve observability and issue resolution. |
24Data Ops/Data Engineer
| Migration of several MesosMarathon pods to a new AWS [MASK] cluster without compromising system [MASK]. | Migration of several MesosMarathon pods to a new AWS Kubernetes cluster without compromising system stability. |
3Senior Data Engineer
| Created and maintained a data [MASK] in Snowflake for several data formats from cloud services (AWS S3, Azure, GCP) using [MASK] stored proceduresSnowpipes. | Created and maintained a data warehouse in Snowflake for several data formats from cloud services (AWS S3, Azure, GCP) using Snowflake stored proceduresSnowpipes. |
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