factored/fr-crawler-private · Datasets at Hugging Face

labels class label 7 classes	text stringlengths 19 772
1Machine Learning Engineer	Served a credit default model using FastAPI as the backend and deployed it using Docker and AWS EC2 instances. Automated model training implementing a Command Line Interface, the model is fed from different data sources.
1Machine Learning Engineer	Delivered technical consulting.
0Data Engineer	Taught non-Computer Science majors with no previous experience programming fundamentals in Python. Explained abstract Computer Science concepts to a non-Computer Science audience.
1Machine Learning Engineer	Trained in algorithmic programming and SW engineering foundations. Completed capstone projects where best coding and task management practices are required.
0Data Engineer	Custom modifications to products to meet new building codes standards.
4MLOps	related to receive, process and transform external data delivered by third-party providers into useful
0Data Engineer	Developed predictive models with AI Platform, Python and BigQuery, for analysis of sales information and customer classification.
0Data Engineer	Led the development of HSBC’s Rewards Points in the Retail Banking division.
2Data Analyst	Improved IT team efficiency by estimating resources needed to satisfy internal demand, analyzing ticket type, quantity, frequency and time invested to solve each issue.
1Machine Learning Engineer	Created and implemented linear regression models to estimate and track performance drops on customer employees metrics that enabled early warnings and corrective action identification for a customer experience software company.
0Data Engineer	Used Terraform to provide AWS resources and permissions needed for the projects and assignments of the internal Data Engineering Training Program.
0Data Engineer	Implemented automations in GitHub including PR templates and automated releases to improve speed and documentation of PRs.
0Data Engineer	Created Databricks workbooks integrating Amazon S3 buckets with Redshift databases using Python and SQL languages, streamlining data processing and analysis.
1Machine Learning Engineer	Classified forum questions as good or bad using deep-learning-based NLP, serving predictions with explainability through a dockerized API deployed in AWS.
0Data Engineer	Developed internal tools and critical automation projects for the FinMath team.
0Data Engineer	Worked as a software architect for the “Administrative processes information system”, the project for the management of the legal process flow for transit infractions. Member of the research group in big data of the District Secretary of Mobility.
3Data Scientist	Developed a model to calculate mobile customer’s marginal contribution using SQL to extract structured data (payments, costs and product usage data) and SQL, R and Tableau to transform and visualize data. The model allowed the management team to calculate client contribution to overall profit and to determine the impact fixed and variable costs had on clients with negative or low revenue. Monetary bivariate and multivariate analysis were made related to income and spend variables and its impact over the margin contribution.
3Data Scientist	Redesigned data pipelines using NumPy to vectorize matrix multiplications. New pipelines were deployed using GCP cloud functions and improved data efficiency.
1Machine Learning Engineer	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.
5Analytics Engineer	Analyzed mass communications impact on the mobile application launched by the telecommunications company; insights were gathered to propose promotion strategies.
4MLOps	Created MLOps solutions for machine learning initiatives and acted as Solutions Architect for Factored internal operations’ projects.
1Machine Learning Engineer	Taught students topics related to competitive programming and mathematics (linear algebra, data structures, string processing algorithms, computational geometry algorithms, C++) in EAFIT’s study group, leading to improved participation and results for international programming competitions.
2Data Analyst	Customized and optimized an internal control process for a “non conforming product” KPI, and reduced the defective products by 66%.
3Data Scientist	Built PowerBI dashboards to analyze and visualize KPIs to maximize the effectiveness of targeted sales based on data for different products.
0Data Engineer	Built Docker files and images to deploy containers to Airflow.
2Data Analyst	Supervised marketing science and business intelligence department, a team of 6 people.
0Data Engineer	Tableau Server SDK developer of custom management portal using ReactJS as front end and Flask Server with SQL Alchemy ORM over Python as back end.
0Data Engineer	Built advanced materialized views using SQL server to enable data migration from Enertia ERP to SAP ERP.
3Data Scientist	Created NLP models such as roBERTa to determine the duration of each judicial step within thousands of cases. The information was used to perform analyses critical to the accurate valuation of financial assets to be acquired by the company, improving efficiency and reducing risk and cost.
2Data Analyst	Formulated model for calculating the annual budget.
3Data Scientist	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 strategic and operational dashboards using Tableau to track KPIs, automate processes, generate alerting systems, and develop trend analysis.
2Data Analyst	Build an app to make easier financial analysis in real-estate projects for business users.
1Machine Learning Engineer	Examined ML techniques, architectures and systems such as logistic regressions, tree-based models, factorization machines and deep learning to determine best practices to enhance end-to-end machine learning pipeline for real time bidding click-to-rate optimization.
1Machine Learning Engineer	Created technical drawings and CAD models to document designs properly
2Data Analyst	Analyze data and create visualizations to show business insights.
3Data Scientist	Developed –along with a team of software engineers– an alternative credit scoring model for small and medium enterprises in the US. This was a high-performance, production-ready system using Python, Celery and SQLAlchemy for the backend for a fintech startup in the US.
0Data Engineer	Led a student research group and taught courses in applied analytics and machine learning.
0Data Engineer	Implemented complex SSRS reports on PROS systems for multiple clients of the SaaS platform,which enabled improvements in sales and customer retention by 15% .
0Data Engineer	Built an MVP and its beta version using a code base project developed by HP Research Lab.
1Machine Learning Engineer	Provided consulting services to financial, events, and payment companies. Migrated solutions and pipelines to the cloud environment. Created ELT ETL routines. Cleaned and applied data quality techniques to the data. Integrated information from different areas in a Data Warehouse. Trained and validated statistical and machine learning models. Created panels to visualize data and aid decision-making.
0Data Engineer	Implemented and maintained ELT pipelines with Python to extract data in batch (daily) from sources as Firestore (e-commerce), SQL Server (sales), CSV and Excel (marketing data) to feed the data lake at Azure.
2Data Analyst	Developed part of the ETL processes using SAS to feed the expected credit loss model under IFRS9.
2Data Analyst	Elaborated, modified and monitored issues and projects in Jira of an important telecom company in LATAM.
1Machine Learning Engineer	Experience building AI systems for a broad variety of companies and data sets.
2Data Analyst	Designed and developed Tableau dashboards for clients in different supply channels: Parcels, LTL, LT, OceanAirExpedited freight.
0Data Engineer	Established Alation as a data catalog tool consumed by non-technical employees of a top retail conglomerate. Used Python for data quality assurance, alongside dbt as an integration tool to support the Alation catalog.
2Data Analyst	Generated queries in PLSQL using Oracle for reports at the clients requests, an important insurance company in Peru.
1Machine Learning Engineer	Designed and implemented a data-processing pipeline to centralize the generation of all reports and data feeds for dashboards of the analytics team. Data transformations are applied using Pandas, and the reports and data feeds are exposed through a web API.
0Data Engineer	Designed and developed Computer Vision and classic Machine Learning evaluations, hands-on laboratories, and assignments.
0Data Engineer	Built and implemented web systems,with Laravel, in order to support the different areas in Data Visualization.
0Data Engineer	Built a data pipeline using orchestration tools for ETL tasks using Apache Airflow and Docker, AWS S3 to automate scheduled reporting.
3Data Scientist	Developed, improved, and implemented predictive models using ML and statistics models.
0Data Engineer	Analyzed historical data to obtain insights about product stability.
0Data Engineer	Built APIs exposing discrete simulations and statistical models for demand forecasting to assist managers in workforce sizing and resource allocation using Statsmodels and scikit-learn.
0Data Engineer	Developed and migrated multiple dashboards from Excel to QlikView. Reduced manual effort by 50%.
0Data Engineer	Analyzed, designed, developed and implemented a management solution for the skills and training matrix of all personnel using ASP.NET, SQL Server (Intranet) technologies for a U.S. manufacturing company of candy, chewing gum and mints.
2Data Analyst	Developed monthly sales analysis reports for the key internal stakeholders, with critical market insights to identify revenue growth opportunities and influence new deals. Presented to several Managers such as Americas Retail Director and District Managers in America.
1Machine Learning Engineer	Designed dashboards for KPIs control and visualization using PowerBI, React and Dash.
0Data Engineer	Developed an ETL pipeline to extract data from S3, transform it using Pyspark and load it into Redshift.
0Data Engineer	Developed, maintained, and upgraded the API and webhook microservices.
2Data Analyst	Built the first version of a PowerBI dashboard designed to help the Sales department of a major US credit rating agency generate insights to make data-driven decisions. Dashboard was created using mocked data, which enabled the presentation of design ideas to stakeholders while access to real data was being provided.
0Data Engineer	Retrieved data from APIs (Facebook Graph, InstagramGraph, FacebookMarketing API, Twitter API, etc.) to measure social media metrics for the Analytics Department .
2Data Analyst	Designed and implemented bonus payment models.
1Machine Learning Engineer	Implemented personal websites using Firebase Functions, Firestore and Hosting.
0Data Engineer	Developed a pipeline to extract data from both RDS (PostgreSQL) and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT and SQL.
1Machine Learning Engineer	Research and development of machine learning models to tackle an user response prediction problem considering demographics characteristics, type of advertisement and income variables.
2Data Analyst	Designed and developed dynamic dashboards in Power BI, supported in SQL, to allow business intelligence.
3Data Scientist	Led a course of Topics in Econometrics, including hands-on projects based on LaTex, Stata and R.
1Machine Learning Engineer	Lecturer at professional certificate ¨Machine Learning in Python¨
0Data Engineer	Acquired and transformed on-site and remote operations data from programmable controllers and modules using Pandas, and developed a web interface with customized controls and KPI plots and visualizations using Python, Plotly and Flask to generate insights and propose processes improvements that increased energy supplied to critical processes up to 99% and reduced overall energy cost by 10%.
0Data Engineer	Performed data mining from external marketing databases to track the share of the market, cost, price, and promotions from competitors.
0Data Engineer	Carried out data frames and integration of tables models using Jupyter,Python, and Spark.
2Data Analyst	Designed and deployed data pipelines to feed spreadsheets and dashboards for marketing teams, built using SQL, Python, and AWS services (e.g. S3, Lambda, ECS).
1Machine Learning Engineer	Fine-tuned OpenAIs CLIP model with images and text descriptions for text-to-image retrieval
1Machine Learning Engineer	Performed exploratory data analysis using Python, NLTK, and Matplotlib libraries
1Machine Learning Engineer	Implemented a support vector machine using Scikit-learn to classify the health state of rolling bearings using temperature data.
0Data Engineer	Fixed major bugs and implemented new features directly visible to the platform’s users.
1Machine Learning Engineer	Created a data labeling tool to validate a pre-built classification model used to extract key information and market insights from a text corpus. Results were shown in a dynamic dashboard built using REACT.
0Data Engineer	Implemented a microservice architecture with redundant job queues using PostgreSQL and SQLAlchemy to execute the pending tasks while maintaining system response time to less than 2 seconds.
0Data Engineer	Developed automation and process monitoring with PowerShell.
0Data Engineer	Designed and developed a neural network model that applies (1) deep feedforward to predict interview success for job applicants based on background, socioeconomic and demographic data, and (2) random forest classifiers to determine whether new employees complete six months of continuous work. Tokenized and transformed input text data using spaCy and Pandas. Trained and tested machine learning models using Python, Keras and Scikit-learn. Won third place out of 1085 participants in a human resources company nationwide contest.
0Data Engineer	Designed, implemented and documented PoCs and analytics systems using AWS and Azure services to improve current data systems and processes across the company. PoC scope included: creation of a central data repository (data lake) using S3, Glue, Athena and Azure Data Factory (for Azure based ingestion into AWS), and installation of an IoT-based monitoring system that streams temperature data using Kinesis.
3Data Scientist	Lead Programmers in the implementation of ETL processes for the Frequent Flyer Program Project at Copa Airlines.
1Machine Learning Engineer	Designed a web page for a tire, spare parts, and car wash store using HTML, CSS and JavaScript to allow customers to make online purchases. The website was connected to Vtex on the backend.
1Machine Learning Engineer	Contributed with the continuous training (CT) for existing models of a fintech company designed to enable business stakeholders to monitor changes and decide when to start developing new model series based on performance dashboards.
0Data Engineer	Migrated a 250GB data warehouse, including stored procedures and ETLs, from Oracle to Microsoft SQL Server.
1Machine Learning Engineer	Built name standardisation tool applying string-matching models, graph-based clusterization solutions, and multithreading and asynchronous (pool, asyncio) libraries for optimization using networkx, Scikit-Learn, third-party APIs and Python. This tool identifies and unifies company name variations in different databases to make aggregated calculations more robust and accessible for a world leading consulting firm. The tool was deployed using FastAPI.
0Data Engineer	Integrated data from data sources to enable data analysis in the company.
2Data Analyst	Supported the structuring of an impact investment fund and communication with stakeholders, possible investors, and regional nodes.
0Data Engineer	Built and maintained complex big data pipelines.
3Data Scientist	Developed classifying transactions service of +400 categories using transaction’s text information for a top consulting company in the world. The solution involved a collection of custom-made Transformer-based models implemented with PyTorch, obtaining an average f1-score across classes of 90%. The models were distilled, quantized and converted to ONNX, significantly improving the latency and reducing the model’s size, resulting in 14MB with a latency of less than 10 ms on CPU.
0Data Engineer	Designed and developed items from SAP BusinessObjects Business Intelligence Platform suite such as universes using Information Design Tool, reports using Web Intelligence and dashboards using SAP Lumira Discovery and SAP Lumira Designer.
0Data Engineer	Analyzed and reported on the most common failures found in preventative maintenance.
3Data Scientist	Taught Data Analysis and Big Data: Analytics for Business Solutions Diploma course, covering topics such as Python Programming, Algorithm Ethics, Neural Networks, and Support Vector Machines in TensorFlow and Scikit-learn, and SQL for Relational Databases.
3Data Scientist	Used optimization techniques such as integer programming to solve meal delivery routing problems.
0Data Engineer	Developed ETL pipelines using Glue, S3, and Redshift used for data that provides insights on past and current loans applications.
0Data Engineer	Defined digital transformation solutions for USA based clients. Scope included: clients need understanding, business requirements gathering and tailored-solutions design based on technology components to modernize daily operations and provide agility and efficiency.
3Data Scientist	Taught models estimation, interpretation and data analysis based on microeconometrics concepts, and designed tests and assessments for a course on a recognized university in Colombia.
3Data Scientist	Designed and analyzed the results of AB tests to improve the decision-making process and KPIs.

1Machine Learning Engineer

Served a credit default model using FastAPI as the backend and deployed it using Docker and AWS EC2 instances. Automated model training implementing a Command Line Interface, the model is fed from different data sources.

1Machine Learning Engineer

Delivered technical consulting.

0Data Engineer

Taught non-Computer Science majors with no previous experience programming fundamentals in Python. Explained abstract Computer Science concepts to a non-Computer Science audience.

1Machine Learning Engineer

Trained in algorithmic programming and SW engineering foundations. Completed capstone projects where best coding and task management practices are required.

0Data Engineer

Custom modifications to products to meet new building codes standards.

4MLOps

related to receive, process and transform external data delivered by third-party providers into useful

0Data Engineer

Developed predictive models with AI Platform, Python and BigQuery, for analysis of sales information and customer classification.

0Data Engineer

Led the development of HSBC’s Rewards Points in the Retail Banking division.

2Data Analyst

Improved IT team efficiency by estimating resources needed to satisfy internal demand, analyzing ticket type, quantity, frequency and time invested to solve each issue.

1Machine Learning Engineer

Created and implemented linear regression models to estimate and track performance drops on customer employees metrics that enabled early warnings and corrective action identification for a customer experience software company.

0Data Engineer

Used Terraform to provide AWS resources and permissions needed for the projects and assignments of the internal Data Engineering Training Program.

0Data Engineer

Implemented automations in GitHub including PR templates and automated releases to improve speed and documentation of PRs.

0Data Engineer

Created Databricks workbooks integrating Amazon S3 buckets with Redshift databases using Python and SQL languages, streamlining data processing and analysis.

1Machine Learning Engineer

Classified forum questions as good or bad using deep-learning-based NLP, serving predictions with explainability through a dockerized API deployed in AWS.

0Data Engineer

Developed internal tools and critical automation projects for the FinMath team.

0Data Engineer

Worked as a software architect for the “Administrative processes information system”, the project for the management of the legal process flow for transit infractions. Member of the research group in big data of the District Secretary of Mobility.

3Data Scientist

Developed a model to calculate mobile customer’s marginal contribution using SQL to extract structured data (payments, costs and product usage data) and SQL, R and Tableau to transform and visualize data. The model allowed the management team to calculate client contribution to overall profit and to determine the impact fixed and variable costs had on clients with negative or low revenue. Monetary bivariate and multivariate analysis were made related to income and spend variables and its impact over the margin contribution.

3Data Scientist

Redesigned data pipelines using NumPy to vectorize matrix multiplications. New pipelines were deployed using GCP cloud functions and improved data efficiency.

1Machine Learning Engineer

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.

5Analytics Engineer

Analyzed mass communications impact on the mobile application launched by the telecommunications company; insights were gathered to propose promotion strategies.

4MLOps

Created MLOps solutions for machine learning initiatives and acted as Solutions Architect for Factored internal operations’ projects.

1Machine Learning Engineer

Taught students topics related to competitive programming and mathematics (linear algebra, data structures, string processing algorithms, computational geometry algorithms, C++) in EAFIT’s study group, leading to improved participation and results for international programming competitions.

2Data Analyst

Customized and optimized an internal control process for a “non conforming product” KPI, and reduced the defective products by 66%.

3Data Scientist

Built PowerBI dashboards to analyze and visualize KPIs to maximize the effectiveness of targeted sales based on data for different products.

0Data Engineer

Built Docker files and images to deploy containers to Airflow.

2Data Analyst

Supervised marketing science and business intelligence department, a team of 6 people.

0Data Engineer

Tableau Server SDK developer of custom management portal using ReactJS as front end and Flask Server with SQL Alchemy ORM over Python as back end.

0Data Engineer

Built advanced materialized views using SQL server to enable data migration from Enertia ERP to SAP ERP.

3Data Scientist

Created NLP models such as roBERTa to determine the duration of each judicial step within thousands of cases. The information was used to perform analyses critical to the accurate valuation of financial assets to be acquired by the company, improving efficiency and reducing risk and cost.

2Data Analyst

Formulated model for calculating the annual budget.

3Data Scientist

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 strategic and operational dashboards using Tableau to track KPIs, automate processes, generate alerting systems, and develop trend analysis.

2Data Analyst

Build an app to make easier financial analysis in real-estate projects for business users.

1Machine Learning Engineer

Examined ML techniques, architectures and systems such as logistic regressions, tree-based models, factorization machines and deep learning to determine best practices to enhance end-to-end machine learning pipeline for real time bidding click-to-rate optimization.

1Machine Learning Engineer

Created technical drawings and CAD models to document designs properly

2Data Analyst

Analyze data and create visualizations to show business insights.

3Data Scientist

Developed –along with a team of software engineers– an alternative credit scoring model for small and medium enterprises in the US. This was a high-performance, production-ready system using Python, Celery and SQLAlchemy for the backend for a fintech startup in the US.

0Data Engineer

Led a student research group and taught courses in applied analytics and machine learning.

0Data Engineer

Implemented complex SSRS reports on PROS systems for multiple clients of the SaaS platform,which enabled improvements in sales and customer retention by 15% .

0Data Engineer

Built an MVP and its beta version using a code base project developed by HP Research Lab.

1Machine Learning Engineer

Provided consulting services to financial, events, and payment companies. Migrated solutions and pipelines to the cloud environment. Created ELT ETL routines. Cleaned and applied data quality techniques to the data. Integrated information from different areas in a Data Warehouse. Trained and validated statistical and machine learning models. Created panels to visualize data and aid decision-making.

0Data Engineer

Implemented and maintained ELT pipelines with Python to extract data in batch (daily) from sources as Firestore (e-commerce), SQL Server (sales), CSV and Excel (marketing data) to feed the data lake at Azure.

2Data Analyst

Developed part of the ETL processes using SAS to feed the expected credit loss model under IFRS9.

2Data Analyst

Elaborated, modified and monitored issues and projects in Jira of an important telecom company in LATAM.

1Machine Learning Engineer

Experience building AI systems for a broad variety of companies and data sets.

2Data Analyst

Designed and developed Tableau dashboards for clients in different supply channels: Parcels, LTL, LT, OceanAirExpedited freight.

0Data Engineer

Established Alation as a data catalog tool consumed by non-technical employees of a top retail conglomerate. Used Python for data quality assurance, alongside dbt as an integration tool to support the Alation catalog.

2Data Analyst

Generated queries in PLSQL using Oracle for reports at the clients requests, an important insurance company in Peru.

1Machine Learning Engineer

Designed and implemented a data-processing pipeline to centralize the generation of all reports and data feeds for dashboards of the analytics team. Data transformations are applied using Pandas, and the reports and data feeds are exposed through a web API.

0Data Engineer

Designed and developed Computer Vision and classic Machine Learning evaluations, hands-on laboratories, and assignments.

0Data Engineer

Built and implemented web systems,with Laravel, in order to support the different areas in Data Visualization.

0Data Engineer

Built a data pipeline using orchestration tools for ETL tasks using Apache Airflow and Docker, AWS S3 to automate scheduled reporting.

3Data Scientist

Developed, improved, and implemented predictive models using ML and statistics models.

0Data Engineer

Analyzed historical data to obtain insights about product stability.

0Data Engineer

Built APIs exposing discrete simulations and statistical models for demand forecasting to assist managers in workforce sizing and resource allocation using Statsmodels and scikit-learn.

0Data Engineer

Developed and migrated multiple dashboards from Excel to QlikView. Reduced manual effort by 50%.

0Data Engineer

Analyzed, designed, developed and implemented a management solution for the skills and training matrix of all personnel using ASP.NET, SQL Server (Intranet) technologies for a U.S. manufacturing company of candy, chewing gum and mints.

2Data Analyst

Developed monthly sales analysis reports for the key internal stakeholders, with critical market insights to identify revenue growth opportunities and influence new deals. Presented to several Managers such as Americas Retail Director and District Managers in America.

1Machine Learning Engineer

Designed dashboards for KPIs control and visualization using PowerBI, React and Dash.

0Data Engineer

Developed an ETL pipeline to extract data from S3, transform it using Pyspark and load it into Redshift.

0Data Engineer

Developed, maintained, and upgraded the API and webhook microservices.

2Data Analyst

Built the first version of a PowerBI dashboard designed to help the Sales department of a major US credit rating agency generate insights to make data-driven decisions. Dashboard was created using mocked data, which enabled the presentation of design ideas to stakeholders while access to real data was being provided.

0Data Engineer

Retrieved data from APIs (Facebook Graph, InstagramGraph, FacebookMarketing API, Twitter API, etc.) to measure social media metrics for the Analytics Department .

2Data Analyst

Designed and implemented bonus payment models.

1Machine Learning Engineer

Implemented personal websites using Firebase Functions, Firestore and Hosting.

0Data Engineer

Developed a pipeline to extract data from both RDS (PostgreSQL) and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT and SQL.

1Machine Learning Engineer

Research and development of machine learning models to tackle an user response prediction problem considering demographics characteristics, type of advertisement and income variables.

2Data Analyst

Designed and developed dynamic dashboards in Power BI, supported in SQL, to allow business intelligence.

3Data Scientist

Led a course of Topics in Econometrics, including hands-on projects based on LaTex, Stata and R.

1Machine Learning Engineer

Lecturer at professional certificate ¨Machine Learning in Python¨

0Data Engineer

Acquired and transformed on-site and remote operations data from programmable controllers and modules using Pandas, and developed a web interface with customized controls and KPI plots and visualizations using Python, Plotly and Flask to generate insights and propose processes improvements that increased energy supplied to critical processes up to 99% and reduced overall energy cost by 10%.

0Data Engineer

Performed data mining from external marketing databases to track the share of the market, cost, price, and promotions from competitors.

0Data Engineer

Carried out data frames and integration of tables models using Jupyter,Python, and Spark.

2Data Analyst

Designed and deployed data pipelines to feed spreadsheets and dashboards for marketing teams, built using SQL, Python, and AWS services (e.g. S3, Lambda, ECS).

1Machine Learning Engineer

Fine-tuned OpenAIs CLIP model with images and text descriptions for text-to-image retrieval

1Machine Learning Engineer

Performed exploratory data analysis using Python, NLTK, and Matplotlib libraries

1Machine Learning Engineer

Implemented a support vector machine using Scikit-learn to classify the health state of rolling bearings using temperature data.

0Data Engineer

Fixed major bugs and implemented new features directly visible to the platform’s users.

1Machine Learning Engineer

Created a data labeling tool to validate a pre-built classification model used to extract key information and market insights from a text corpus. Results were shown in a dynamic dashboard built using REACT.

0Data Engineer

Implemented a microservice architecture with redundant job queues using PostgreSQL and SQLAlchemy to execute the pending tasks while maintaining system response time to less than 2 seconds.

0Data Engineer

Developed automation and process monitoring with PowerShell.

0Data Engineer

Designed and developed a neural network model that applies (1) deep feedforward to predict interview success for job applicants based on background, socioeconomic and demographic data, and (2) random forest classifiers to determine whether new employees complete six months of continuous work. Tokenized and transformed input text data using spaCy and Pandas. Trained and tested machine learning models using Python, Keras and Scikit-learn. Won third place out of 1085 participants in a human resources company nationwide contest.

0Data Engineer

Designed, implemented and documented PoCs and analytics systems using AWS and Azure services to improve current data systems and processes across the company. PoC scope included: creation of a central data repository (data lake) using S3, Glue, Athena and Azure Data Factory (for Azure based ingestion into AWS), and installation of an IoT-based monitoring system that streams temperature data using Kinesis.

3Data Scientist

Lead Programmers in the implementation of ETL processes for the Frequent Flyer Program Project at Copa Airlines.

1Machine Learning Engineer

Designed a web page for a tire, spare parts, and car wash store using HTML, CSS and JavaScript to allow customers to make online purchases. The website was connected to Vtex on the backend.

1Machine Learning Engineer

Contributed with the continuous training (CT) for existing models of a fintech company designed to enable business stakeholders to monitor changes and decide when to start developing new model series based on performance dashboards.

0Data Engineer

Migrated a 250GB data warehouse, including stored procedures and ETLs, from Oracle to Microsoft SQL Server.

1Machine Learning Engineer

Built name standardisation tool applying string-matching models, graph-based clusterization solutions, and multithreading and asynchronous (pool, asyncio) libraries for optimization using networkx, Scikit-Learn, third-party APIs and Python. This tool identifies and unifies company name variations in different databases to make aggregated calculations more robust and accessible for a world leading consulting firm. The tool was deployed using FastAPI.

0Data Engineer

Integrated data from data sources to enable data analysis in the company.

2Data Analyst

Supported the structuring of an impact investment fund and communication with stakeholders, possible investors, and regional nodes.

0Data Engineer

Built and maintained complex big data pipelines.

3Data Scientist

Developed classifying transactions service of +400 categories using transaction’s text information for a top consulting company in the world. The solution involved a collection of custom-made Transformer-based models implemented with PyTorch, obtaining an average f1-score across classes of 90%. The models were distilled, quantized and converted to ONNX, significantly improving the latency and reducing the model’s size, resulting in 14MB with a latency of less than 10 ms on CPU.

0Data Engineer

Designed and developed items from SAP BusinessObjects Business Intelligence Platform suite such as universes using Information Design Tool, reports using Web Intelligence and dashboards using SAP Lumira Discovery and SAP Lumira Designer.

0Data Engineer

Analyzed and reported on the most common failures found in preventative maintenance.

3Data Scientist

Taught Data Analysis and Big Data: Analytics for Business Solutions Diploma course, covering topics such as Python Programming, Algorithm Ethics, Neural Networks, and Support Vector Machines in TensorFlow and Scikit-learn, and SQL for Relational Databases.

3Data Scientist

Used optimization techniques such as integer programming to solve meal delivery routing problems.

0Data Engineer

Developed ETL pipelines using Glue, S3, and Redshift used for data that provides insights on past and current loans applications.

0Data Engineer

Defined digital transformation solutions for USA based clients. Scope included: clients need understanding, business requirements gathering and tailored-solutions design based on technology components to modernize daily operations and provide agility and efficiency.

3Data Scientist

Taught models estimation, interpretation and data analysis based on microeconometrics concepts, and designed tests and assessments for a course on a recognized university in Colombia.

3Data Scientist

Designed and analyzed the results of AB tests to improve the decision-making process and KPIs.