lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Engineer
Category: Data Engineer
Experience: 1 years | English: upper


Enhance and maintain data queries, advanced formulas, and data sources for scalable one-of-a-kind reporting, ensuring flawless generation of data visualizations and reports, work with large data sets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems, also develop and maintain data APIs, ETL processes, and data integration systems.
Position: Junior Data Engineer
Category: Data Engineer
Experience: 0.5 years | English: upper

I am a certified Data Engineer and Data Analyst. I know how to implement a full data life cycle process, which includes collecting, cleaning, transforming, storing, analyzing and reporting data.
I have 6 months of practical experience. During my internship I gained hands-on skills that included Database Development (SQL), Data Engineering (ETL + DWH) and Data Presentation (PowerBI).
I'm looking for a friendly collective that will share the common work responsibilities :)
Position: Junior Data Engineer
Category: Python
Experience: 0 years | English: intermediate

Unfortunately, I haven't got any achievements yet, but I want to correct this.
I have been working with arduino in tinkercad.com with my university's mentor. He gave me tasks like a 'Simulation of a dice', which I did in tinkercad. I created schemas of microcontrollers and wrote codes for tasks.
During the Python course, I was doing various tasks.
I have telegram-bot with rating system and the parser, which gathers informations of advertisements, such as name, date, views, district etc, and adds it to data base (PostgreSQL).
I really would like to work in Game Development in the future. However, I know it's impossible for me right now, nonetheless, I will learn everything I need.
Now I want to become Data Engineer and work with Python & SQL.
Position: Junior Data Engineer
Category: Python
Experience: 0.5 years | English: upper

Completed Coursera course about machine learning and SQL
I have experience participating in Hackathons working with a team of machine learning engineers. I was mainly busy with deploying ml onto servers and partly with the tuning models
I don't have experience working in large companies but I really want to start.
Position: Junior Data Engineer
Category: Python
Experience: 0 years | English: upper


Optimization of algorithmic trading strategies
For 6 months I was developing my own application for analyzing data from cryptocurrency
market. Main purpose of this app is optimization of algorithmic trading strategies. It is
especially focused on working with raw data from two sources: parsing of market by trading
terminal and price action data collected via API of exchange (Binance).
Position: Junior Data Engineer
Category: Data Engineer
Experience: 0 years | English: intermediate

Good communication skills, thoroughness and ability to self-organize. Mastered tools such as SQL Server 2019, Visual Studio. Advance knowledge in SQL and T-SQL. Experinced with ETL in AWS. Build dashboard and report in Tableau and Power BI.
Project:EPAM [OnlineUA] DWBI\DQE Autumn Program.
The purpose of this project work was to learn DWBI\DQE's technologies, tools and how to use them. Created database, analyzed given database and created SQL queries, stored procedures, UDFs, triggers and transactions in SQL Server. Created SSIS solution that contains three Master Packages. Performed requirements testing, created checklists, test cases and bug reports in Jira. I worked with AdventureWorks2019, AdventureWorksDW2016 and used such tools as Microsoft SQL, Server Management Studio 2019, Visual Studio 2019 (SSIS), Jira
I would like to work with interested project full-stack or part-time. I can work with MS SQL Server or another database that uses SQL language. And I would like to work with data integration or data visualization.
Position: Junior Data Engineer
Category: Data Engineer
Experience: 3 years | English: fluent

1. Built data ingestion from Postgres DB in Cloud SQL into BigQuery using Federated Queries, Cloud Composer 2 (Airflow) and Python.

2. Recovered financial debt amounting to #40 Million naira at BuyPower Inc using analytics skill of SQL. Furthermore, I collaborate with software engineers to fix the issues that led to debt, thus ensuring Data compliances and boosting trust with our clients and stakeholders.

3. Ensured clean energy sustainability at low cost for Smarterise clients that resulted in more than 30% reductions in annual operational cost by culling insights from their energy data.


MSc Financial Engineering at WorldQuant University Feb 2022 (95/100)
UPWORK
Role: Data Engineer Freelancer
1. Working as an external Data Analytics Expert contractor to help multinational clients get data-driven insights using various tools such as python, Metabase, DBT, Google Data Studio, BigQuery, GitLab etc. (Èquipe Totem Inc.)
2. Building Data pipeline to migrate data from google sheets, Mixpanel, and Postgres DB into Data Warehouse using Google Cloud Composer 2 (Airflow), python, federated queries for a tech startup. (WebVerif)

Company: BuyPower ABUJA, NG
Role: Data Engineer [buypower.ng(YC 2017)]
Timeframe: SEPT 2021 - PRESENT

1. Lead a team of three Data Engineers, and collaborate with Engineering management on continual improvement of the ETL process, Documentation, data pipeline architecture and system architecture design to minimize operation cost by 40%.
2. Design and implement data ingestion pipelines (batch and stream) for data replication automation of request logs from an unstructured database(MongoDB, Firebase), relational database (MYSQL in Amazon RDS) to Data Warehouse (BigQuery).
3. Build multiple observability ETL systems (DBT)  that give several teams insight into their operations, increasing transparency of information and reducing time to insight from days to mere seconds.
4. Culling Insights and preparing multiple Google Data Studio dashboards for various teams and stakeholders from Data warehouse to answer business questions and consolidate the company’s long-term goals and visions.
5. Implementing several schema and query optimisation techniques which reduced the overall time required to execute queries by up to 70%
Tools used include Bigquery, SQL, Python, Google Data Studio, GCP (Cloud Functions, Scheduler, VM Instance, Cloud SQL, Cloud Storage), Google Colab, MySQL, MongoDB, RestAPI, Firestore

Company: Smarterise LAGOS, NG
Role: Data Analyst
Timeframe: APR 2020 - AUG 2021
1. Performed ETL on big energy data (Millions of rows)
2. Presented summarized data insights on energy consumption and power quality to save more than 30% of the annual operational budget of our clients.
3. Built from scratch a comprehensive KPI sales report for a Multinational client to track their sales records and make data-driven decisions to increase their annual sales.
4. Applied ML model in predicting energy load profile for research and recommendation purposes.
Tools used include Python, Excel, Power BI, Google Colab
Position: Junior Data Engineer
Category: Data Engineer
Experience: 1 years | English: fluent


Work Experience: 

Cloud Support Engineer, Devoteam G Cloud, Warsaw: 
• Developing features on top of Open Source projects and their integration to Devoteam’s Support Department Environment (Python, Terraform, Flask API, Docker, GCP, Cloud Run, Cloud Functions)
• Contribution to local support automation projects (Developing Cloud Functions)
• First line support for Clients with the Google Cloud based infrastructure (Google
Kubernetes Engine,Cloud DataProc, Cloud Dataflow, Cloud SQL, Big-Table, BigQuery)

Student Data Engineer/DevOps, Abbott, Warsaw:
• Supporting AWS Infrastructure (Debugging Issues related to resource Provisioning,
Deployment and Exploitation)
• Creating ETL Glue Jobs and AWS Lambdas for Data Processing and Automation
• Assisting in Deployment, Updating and Creation of IaC Cloud-Formation Templates
• Creating Bash scripts for automation of AWS Processes

Intern Software Developer, CASE, Warsaw
• Writing automated jobs in Python for extracting and processing data from different
resources
• Managing, tuning and maintaining EC-2 Virtual Machines for running jobs in AWS
Cloud
• Filtering data in the database by using SQL


Certifications:

• Associalte Cloud Engineer
• Terraform Associate
• GCP Data Engineer (Upcoming)


Personal Projects: 

• Batch Data Pipeline for extraction of Cryptocurrencies' data and calculation of price
differences between various cryptocurrency categories on different time ranges.
(GCP, Spark, Airflow, Pandas, GCS, BigQuery. Terraform, Docker, Java, Cloud Run, NodeJS)

• Building a Serverless Data Pipeline by using Python, AWS Lambda, Amazon S3 and AWS
Cloud-Formation for processing CSV files.

• Building a real-time Data Processing/Visualization pipeline for processing Web
Application’s access logs (Python, Pandas, Flask, PostgreSQL, SQLite, Django)

• Developing a Web Scraper for Ebay Website (BeautifulSoup, Python, Pandas)


On my previous positions I have been mostly working as an Intern and a Junior Specialist. Want to develop myself as a Cloud Data Engineer (either with AWS or GCP) and Data Architect. Want to learn more about the Hadoop ecosystem, Stream Processing, MLOps and Cloud Native solutions for Big Data. 

Will be happy to contribute to projects with my existing background and impact company's success with my passion to Data, Cloud and Programming
Position: Junior Data Engineer/ Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


Worked as BI engineer, Data Scientist, Data Analyst. Have a strong mathematics background.

Implemented ETL process, worked with configuration files, requests, API, parse files and texts (SQL, python), creation of site parsers (python). 

Created and optimized SQL queries, complex procedures in SQL, index building, Olap cubes, MDX queries, developed BI reports (in local tools, ssrs, power Bi). 

Data processing (use pandas dataframe, regex expression, lambda functions etc.). Work with time series.  

Knowledge OOP principles, knowledge of algorithms and ML theory. 

Creating machine learning models (linear models, decision trees, etc.) for solving regression, classification, clustering problems. Optimize algorithms (hyperparameter tuning, cross validation etc.). 

Statistical analysis, visualization (searborn, matplotlib).

Strong interest in Data Engineering, Data Science and Machine Learning.
Position: Junior Data Engineer/Scientist
Category: Data Science
Experience: 1 years | English: fluent

Computer Vision Trainee (1-month internship) 02.2021
Developed a module for detection of the floor in indoor pictures taken with iPhone XII (Python, OpenCV, ML)

Analytical public project 07.2020
Analysis on spatial planning documentation in Ukraine - ArcGIS (web app accompanied by Article  with 11 000+ reads 'New territorial administrative division is approaching – some thoughts about the situation in the field of spatial planning in Ukraine') 

 Kaggle educational competitions (as of 10.2020):
- House Prices: Advanced Regression Techniques - in the Top 31%
- CIFAR-10 - Object Recognition in Images - in the Top 23%
- Plant Seedlings Classification - in the Top 54%
- Titanic: Machine Learning from Disaster - in the Top 26%
Computer Vision Trainee (1-month internship) 02.2021
 Project for detection of the floor in the indoor pictures taken with iPhone XII (Lidar, Python, OpenCV, ML, NN)

Data Science Trainee (Apprenticeship) 08.2020 – 12.2020
DataRoot Labs Kyiv, Ukraine
 Machine Learning module and API for data preprocessing and prediction for the Kaggle's competition 'House Prices: Advanced Regression Techniques' (Python, Flask).
Docker image for the project – svparhom/mlapi
 RESTful API for handling GET, POST, PUT, DELETE requests to a database (Python, Flask, PostgreSQL).
Docker image for the project – svparhom/apifour.
 Kaggle educational competitions:
- House Prices: Advanced Regression Techniques - in the Top 31%
- CIFAR-10 - Object Recognition in Images - in the Top 23%
- Plant Seedlings Classification - in the Top 54%
- Titanic: Machine Learning from Disaster - in the Top 26%
 Supervised and Unsupervised ML algorithms from scratch (Python):
- Linear regression, Polynomial Regression, Logistic Regression, NBC, KNN, SVM, Neural Network;
- K-means, PCA;
 Snake Game with pure Python in the Gym environment.

Project Manager 06.2018 – 10.2020
Deutsche Gesellschaft für Internationale Kyiv, Ukraine
Zusammenarbeit (GIZ)
U-LEAD Programme „Support to the decentralisation reform in Ukraine“
 Coordinated national and international implementing partners in the full cycle of the projects related to spatial planning/public infrastructure topics of national scale of total value more than 1 000 000 EUR and durations more than 1 year. Participated in the development of new projects.
 Led a remote team of 5 external experts.
 Initiated, developed, and maintained a data management system for the Programme’s projects monitoring.

Assistant of Architect 05.2017 – 05.2018
Architectural Bureau Smolakowski Wroclaw, Poland

Assistant researcher (Erasmus+ traineeship) 10.2016 - 04.2017
European Urban Research Association (EURA) Dortmund, Germany

Urban Planner Intern 11.2015 - 02.2016
GIPP Porto, Portugal
Position: Junior Data Engineer with python
Category: Python
Experience: 0 years | English: fluent


Have experience in Python OOP, Django framework.
Worked with Airflow and Sql flow as administrator. Got a strong knowledge of operating systems including Windows, Linux and Virtualization Technology (Docker, Citrix, VMware).
In future i want to gain proficiency in Python OOP, machine learning, big data.
Position: Junior Data Entry Specialist
Category: Other
Experience: 1 years | English: intermediate


Performance of audit procedures
(reconciliation of accounting data,
testing of primary documents, etc).
Reviewing the client's financial
statements, such as balance sheets and
income statements.
Reviewing records to ensure that they
are accurate and complete according
to company standards.
Position: Junior data/marketing analyst
Category: Data Analyst
Experience: 3 years | English: upper


Over 3 years of working experience in marketing analysis, business planning on the remote basis. Accomplished courses: Google Digital Marketing and E-Commerce; Google Data Analytics. I wish to develop in the professional field and in team management/leadership.
Position: Junior Data/Product analyst
Category: Data Science
Experience: 3 years | English: upper


Investment analysis. Financial models preparation for projects, companies.
Cohort analysis, products metrics analysis (churn, LTV, ARPU, etc.)
Experience in telecom, mobile apps projects.
SQL queries, Excel, data analysis.

Experience:
Kyivstar (July 2018 — July 2020) 
Commercial Analyst
- Pre-launches product analysis (VP B2C/B2B, NPD), delivering insights on products for decision making 
- Project financial results calculation (pre-launch)
- Identifying key risks of ongoing marketing activities
- Emphasizing improvement points and giving recommendations for top management& process owners

Vodafone Ukraine (May 2017 — June 2018) 
Economist-analyst
- Critical assessment, evaluation of assumptions, logic and architecture of commercial initiatives and internal business proposals
- Financial control of investment/marketing projects
- Post-launches analysis
Looking for interesting tasks/projects which allow me to use and develop my skills.  
Adequate management and clear task description are needed.
Position: Junior Data & Product Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate

I launched my own agency that makes promotion for Ukrainian djs and performance artists abroad, made a strategy of promotion and started its implementation.
Increased reaches of previous projects by using SMM and PR tools that helped to sell more than thousand tickets for promoted events.
My name is Alex, I’m 24 year old Junior Data Analyst from Kyiv. I started learning Data disciplines at the beginning of this year. 

I’ve made good progress in learning, got a lot of knowledge and skills like: using SQL, Python, and its libraries in Data Science.  A couple of things that I didn’t mention in my CV and that was pointed out in the vacancy — I am also learning statistics and have a basic understanding of the different types of regressions and decision trees.

Earlier I've launched my own music booking agency (kyivbooking.agency) for Ukrainian Djs and performance artists that promotes them abroad (European market). Developed booking agency’s website with a team of designers and developers. Wrote text articles for both website and social media, developed promotion strategy, collaborated with specialized media and different promotion channels.
Position: Junior Data/ Product Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


Skills:
– knowledge of MS Excel/ Google Spreadsheets;
– SQL knowledge (Joins, Grouping, Subqueries, Window function);
– analytical skills and attention to detail;
– experience with BigQuery and Data Studio;
– knowledge of crucial product metrics;
– knowledge of the basics of statistics (Probability distribution, Median, Mode, Percentile, Standard deviation, Correlation and Probability rules);
– A/B test results analysis;

Employment history:
July 2021 – July 2022
Marketing manager at Projector Institute
– Researched and analyzed the target audience.
– Analyzed the market and competitors, conducted interviews and surveys.
– Analyzed the customer's feedback and prepared recommendations for product improvement;
– Generated hypotheses and tested them.
– Analyzed the effectiveness of advertising campaigns using Google Analytics and found ways to optimize them. 
– Analyzed key product metrics (CAC, CR, Churn, LTV, ARPU, ROI).
– Created presentations and reports.
Position: Junior Data/Product Analyst
Category: Data Analyst
Experience: 0 years | English: upper


The first work experience was at ProgressTech Inc. as an Intern Android Developer from July 2021 to December 2021. I developed healthy eating and calorie counting apps using Kotlin, Python, Figma and Google Firebase. 
In the summer of 2022 I studied at the Genesis Analytics School where I improved my skills in SQL, Python, Tableau, statistics and cohort analysis.
Position: Junior Data Sceince
Category: Data Science
Experience: 0.5 years | English: intermediate

Kaggle competitions
I’m professional marketing specialist and a couple months ago I made big career move and have start worked with Big Data. I cover insightful patterns in competitive data and customer surveys that will improve effectiveness and drive
business decisions.

Education on Coursera as a theoretical base
Kaggle competitions for skills training
Position: junior data science
Category: Data Science
Experience: 0.5 years | English: upper


Technology stack:
• Python framework: numpy, pandas, scipy, scikit-learn,;
• Exploratory Data Analysis (EDA): feature engineering, feature selection, preprocessing e.t.;
• Data visualization: plotly.express, seaborn, matplotlib;
• Supervised Machine Learning: LinearRegression, LogisticRegression, DesitionTreeClassifier,
RandomForest, XGBoost, CatBoost.
• Unsupervised machine learning: Kmeans, EM, DBSCAN.
• PostgreSQL.

Work Experience:
Projects in Data Science samples:1. Bank - attract customers to open a deposit. Data analysis, identification of patterns and
the search for decisive factors that influenced the fact that the client invested in this
bank.
2. Online store - segment existing customers, interpret these segments and determine the
strategy of interaction with them. Construction of a model of clustering of clients on the
basis of their purchasing power, frequency of orders and the term of the last purchase.
3. City taxi - Build a model that will predict the total duration of a taxi ride around the city.
4. Recommendation system for Ukraine clinics
Position: Junior Data Science
Category: Data Science
Experience: 0 years | English: upper

Certificate of  abto computer vision courses 2019.
*Experience with computer vision and nlp tasks
Know segmentation,detection and tracking tasks. 
Currently working mostly on computer vision projects.Have written from scratch SSD detector and have diploma project on recognizing handwritten words.
*Knowledge of classification and regression algorithms: Decision Trees, Logistic and linear regression, SVM, Naive bayes classifier, ensemble methods (Random Forest, gradient boosting)
*Neural Network and deep learning(CNN, RNN, autoencoder)
*Clustering and decreasing dimension: K-means, PCA, t-sne
Position: Junior Data Science/Data Analyst
Category: Data Science
Experience: 1 years | English: intermediate

Creating statistic linear models in motor third party  liability insurance
for forecasting of losses.
Data Analyst, 
Nov 2018 - Present
Duties: 
Estimating and forecasting of losses by providing predictive models, analytical reporting, statistical analysis of financial indicators
Tools: Python3 (scipy, matplotlib, numpy, pandas, standart lib, statsmodels), excel as data visualization tool, relational database (MySQL)
I Find Data Science propositions where i can use the modern technologies and different math methods (such as statistic, ML).
I want to improve my communication skills with clients.
Can learn  new technologies quickly.
Prefer flexible schedule.
Position: Junior Data Science (DS/ML) engineer
Category: Data Science
Experience: 0.5 years | English: intermediate

I have created a group of enthusiasts for sports programming and developed some products from scratch as statistics about technologies for IT specialists and a little utility, for parties.
I was involved in different short-term projects, like income prediction and trading (spread and volume) prediction. I have practical skills with time series processing, regression, and classification tasks. I'm also able to collect, clean, and modify data. I'm also good at Back-end development.
I'm looking for a Machine learning position, possibly with the engineering part. I'm not interested in BI or analyst positions.
Position: Junior Data Science \ Junior Data Analytics
Category: Data Science
Experience: 0 years | English: intermediate

In six months, I independently mastered, in my opinion, the basic knowledge in the field: data analytics, data science and machine learning. I can use such frameworks as: Pandas, NumPy, matlib, seaborn and skLearn.Have expirience of work with classification and regression .
I have experience working exclusively with datasets and tasks that I found for myself on Kaggle. Learned all the basics of analysis and machine learning myself with the help of many free resources. At this moment, I want to get to know the world of A\B Testing and develop in this field.