lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst, Sales Data Analyst
Category: Data Analyst
Experience: 6 years | English: intermediate


Located in Kyiv, with the possibility to travel.

Experience in;

• Collect, analyze, and interpret large sets of data using advanced statistical techniques and data visualization tools, with a focus on Microsoft Power BI.
• Work collaboratively with cross-functional teams to understand business requirements and translate them into data analysis and reporting.
• Develop and maintain dashboards, reports, and other data visualization tools in Microsoft Power BI.
• Monitor and analyze key performance indicators (KPIs) to identify trends, opportunities and areas of improvement.
• Provide insights and recommendations to stakeholders to support decision-making processes.
• Develop and maintain documentation related to data analysis processes, tools and reports.
• Continuously evaluate and improve data analysis processes and tools to ensure they are efficient and effective.

• 5 years of experience in Microsoft Power BI.
• SQL and other database tools.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and ability to work with large sets of data.
• Working in agile environments is preferred.
Position: Data Analyst/science trainee
Category: Python
Experience: 0.5 years | English: upper

Сoursework ‘Predicting the price of a house’
-	Brief description: The main task is to predict the price of a house based on various characteristics of houses. First, I did an exploratory analysis of the data. After processing the data, I tried a linear regression model with the default parameters and found an overfitting, so this model does not work for us. To reduce overfitting, I used L1, L2 regularization (ElasticNet). I also used cross-validation to select the optimal hyperparameters. As a result, I managed to improve the model's results. Then I tried other models such as polynomial regression, decision trees, random forests, and gradient boosting. The best models in my work comparing the rmse metric to the validation metric are ElasticNet, found by searching for hyperparameters, RandomForest, and GradientBoostingRegressor.

Covid 19 data exploration
- Brief description: "Used SQL Server to extract and analyze global COVID-19 data. Developed optimized queries to retrieve the necessary information and conducted data analysis using SQL queries. Visualized the analysis results using Tableau, creating interactive dashboards and charts to provide a visual representation of trends and patterns related to the COVID-19 pandemic. I also have a portfolio site(link) with these projects and a few others."
Passed a paid course Python online marathon from SoftServe.
Passed a paid course Python for Data Science from SoftServe.
Position: Data analyst scientist
Category: Data Science
Experience: 4 years | English: upper

structure architecture, ETL planing and creating, R tidyverse, data.table, bash scripting in data processing, python.
data analysis, data drilling, regressive analysis, machine learning
Preferred language R
Main libraries and knows on: SQL, Python, spark, web scrapping with rvest, airflow, etl, bash, linux, data.table, tidyverse.
Position: Data Analyst (Scientist)
Category: Data Science
Experience: 1.5 years | English: upper

Found critical bugs during data investigation and helped to prevent failing demo for stakeholders on one project, increased models accuracy on one project (~2%), predicted sales for an e-commerce business, and predicted S3 storage capacity that helps customers to understand how much money they need to spend for AWS in the next month
There was no problem that I didn't solve in time
I'm a Data Analyst (Scientist) with 1.5 years of experience and an e-commerce entrepreneur. Managed an e-commerce business and predicted sales, developed an AI forecasting platform, worked on an anomaly detection system and predicted S3 storage capacity, implemented hundreds of tests for UI / data accuracy, prepared data accuracy analysis for 1 project

Check out my CV for details
I'm looking for an interesting project/company with a skillful team to get more experience in Data Analysis (Science)
Position: Data Analyst / Scientist
Category: Data Science
Experience: 5 years | English: upper

Personal achievements:
In current company:
1) I've built product reporting for the team;
2) I've led a project aimed to predict users churn. The model created had F1 score of 85%;
3) Analysis of product made by me led to increase of overall revenue by 5%;

Side project:
I've created the BI department for Inc.5000 company from scratch.

In previous company:
1) Automatization of instruments for forecasting;
2) Increase of forecast accuracy of TOP KA by 3% in 2018;
3) Achieved the highest level of forecast accuracy in the company's history 
Result: average FA during S2 2019 - M-1 - 96.5%; M-3 - 95%; W-1 - 92%.

I have certificates of:
- Data Science;
- Data Analysis;
- Time series forecasting;
- Python;
- Git;
- SQL;
- Soft skills.
December 2019 - …
Data analyst
Technologies: PostgreSQL, Python, Power BI, Tableau
Responsibilities: 
- Monitor and provide insights on user activity and behavior;
- Apply data science techniques to model and predict user behaviors;
- Aggregate and analyze project data, provide recommendations on possible improvements;
- Evaluate AB tests and prepare insightful reports;
- Control project KPIs.


January 2017 – December 2019
Senior Data Analyst
Responsibilities: 
- Collect and prepare data for analysis;
- Statistical analysis;
- Forecast models creation and check;
- Presentation of model forecast results to TOP management;
- Junior analysts team work coordination;
- Internal OLAP cubes maintenance and support;
- Control of department’s KPIs execution.

I want to find a job that:
1) Will help me develop the skills necessary for Data Scientist;
2) Will allow me to do something valuable.
I'd like find a worthy project with a friendly team and an acting team leader who can share experience in the subject area.
Position: Data Analyst | Scientist
Category: Data Analyst
Experience: 3 years | English: fluent


EXPERIENCE
Indeed Inc   Data scientist
June 2021 to present 
 Collaborated with product and commercial teams to define metrics and KPIs, and analyze business performance to identify opportunities to improve growth and efficiency.
 Built dashboards and reports to create visibility into different funnels and business processes, providing actionable insights to drive business decisions.
 Designed and ran experiments to improve customer experience on the platform, leading to a 40% increase in user engagement.
 Explored datasets to uncover insights, and prototyped new model-driven features and products that provided value to customers.
 Communicated findings and recommendations to different functions across the company, including product, engineering, and commercial teams.
 Created and maintained ETL/ELT pipelines to ensure data accuracy and reliability.

Ministry of Lands  Data Analyst Nairobi 
February 2020 to June 2021

 Developed and implemented data entry protocols and quality control measures to ensure data accuracy and integrity.
 Utilized OCR and data extraction tools to automate data entry process and speed up the digitization process.
 Used excel, SQL and python to analyze and clean large datasets of land registry information to build a dashboard that
reduced reporting time by 40%
 Created visualizations and reports to communicate progress and findings to department heads and government officials.
 Developed and managed ETL frameworks to automate data extraction, transformation, and loading processes.

Freelancer 
Data Analyst Remote October 2019 - January 2020 

 worked with Excel and SQL to conducted data analysis and data cleaning to improve the sales of a client by identifying the best selling product, customer behavior and market trends.
 Developed dashboards and reports to present data insights to management team
 Comunicated with stakeholders to understand their requirements and deliver project in time.
Position: Data Analyst/Scientist
Category: Data Science
Experience: 5 years | English: fluent


As a professional with around 5 years of experience, I have gained skills in working with big data infrastructure to deliver actionable insights to business stakeholders. I am proficient in writing advanced SQL queries, working with Airflow, using Python for data analysis, and making visualisations with BI tools such as Tableau, Superset
Moreover, I thrive in a collaborative team environment and take pleasure in effectively communicating results to clients. I am enthusiastic about the prospect of working closely with data engineers, scientists, or product managers to experiment and evaluate the effectiveness of proposed solutions.
I am looking for a data analyst/scientist position, also I can take a short-term project.
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 0 years | English: fluent

Google Data Analytics Certificate (March 2023).
Have some public pet-projects (in the resume).
As a recent graduate with a passion for data-related work, such as data science or data analysis, I am eager to apply my knowledge and skills in a professional setting. While I may not have commercial experience in these specific roles, my educational background and personal projects have provided me with a strong foundation in data analysis, statistics, programming, and problem-solving.
I am looking for a position on which I will have to deal with possibly large amounts of data using Python (or some other languadge like R), SQL, Microsoft Excel.
Position: Data Analyst/Scientist
Category: Data Science
Experience: 4 years | English: upper


As Data Analyst performing deep researches as long as ad-hoc analyses using SQL and Python, creating and supporting different  periodical reports in Tableau. Mentoring and leading of newcomers. 
Highly interested in developing as a Data Scientist, worked on clusterization problem within current project.

I`m originally from Ukraine but currently staying outside of the country (at the moment in Sofia, Bulgaria) due to the war and looking for a relocation job in EU/CA/US.
I`m looking for interesting project with challenging tasks. 
Interested in professional skills development, especially using Python and ML models.
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 2.5 years | English: fluent

Accomplishments at MGID:
- Created a new algorithm to gather blacklists for advertisers;
- Automized queries which helped to reduce analytics' load by 15% allowing to focus on more challenging tasks;
- Optimized over 100 advertising campaigns;
- Created and managed over 15 automated reports;
- Created an algorithm to optimize native advertising campaigns.
BI Analyst at MGID Inc.
Resposibilities:
- Preparing reports of company performance across various parameters to aid in strategic decision making;
- Utilizing data visualization tools to create intuitive and insightful reports;
- Developing and executing SQL queries to extract, analyze, and interpret business data from large databases;
- Designing and maintaining automated reports;
- Conducting comprehensive analysis of diverse data sets;
- Optimizing marketing campaigns by analyzing their performance, identifying opportunities for improvement, and implementing strategic enhancements;
Position: Data Analyst/Scientist
Category: Data Science
Experience: 0 years | English: upper

Student of DataRoot University (done) 
Created score system for landing pages
- Creating reports and dashboards (visualization) using Tableau

- Data analysis on demand from different stakeholders, getting insights and making recommendations.

 - A/B testing

- Creating and implementing score algorithm for product listing pages
- non-trivial tasks related to to either analytics or data science
- expect working with Python data science and analysis stack
Position: Data Analyst/Scientist
Category: Data Science
Experience: 1 years | English: fluent


Currently studying masters in Data Science in Dortmund, Germany.

1 year experience working as a data scientist in CIVITTA, a leading consulting firm in Central and Esstern Europe
Worked with data preprocessing, analysis, modelling and estimation mostly in Python and R. Especially interested in financial topics and statistical modelling. 

Work projects in include:
Product sell-time prediction with XGBoost
Customer Lifetime value prediction with BTYD statistical algorithm 
Next Best offer prediction with collaborative filtering
Optical character recognition of book covers

Pet projects include:
credit eligibility prediction with SVM
option pricing with neural networks in keras library (also studied simulation approaches)
stock risk and return prediction using financial concepts and regression 
house price prediction with EDA and XGboost
Diabetes classification problem with Logit
Максимальна зайнятість - 30 год/в тиждень
Розглядаю віддалено
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 0.5 years | English: intermediate


I'm a new looking an opportunity to growth in career. My previous work experience most of all was in financial sector (not related to IT). From previous jobs I learned how I can work with completely different projects and look for the necessary solutions for posed tasks. I'm practicing my hard skills every day, especially now I'm working on Exploratory Data Analysis, modeling, and predictions.  I’m ready to learn and improve my abilities. I’ll would appreciate the opportunity and chance to broaden my knowledge by working with you.
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 2 years | English: upper


I recently graduated from the Faculty of Applied Mathematics at the National Technical University of Ukraine "Kyiv Polytechnic Institute" with a specialization in Data Science and Mathematical Modeling.

Worked on a project where predicted  the compatibility of products and dishes with each other.
Passed a 3-month course from DataRoot.

Also, I have experience with R, BI tools (Power bi, Tableau), regex, bash, REST & GraphQL APIs, Jupyter notebook, Git, Docker, Flask, PySpark, MS SQL, basic machine learning algorithms.
Python, Machine Learning, Data Science, Git, Pandas, matplotlib, statistics, Tableau, R, Docker, RegEx, SQL, Flask, NLP, Tensorflow, math, Selenium, scikit-learn, Jupyter Notebook, numpy.
Position: Data Analyst/Scientist
Category: Data Science
Experience: 2 years | English: intermediate


Over the past 2 years I have successfully grown to be a Data Analyst within an e-commerce company thanks to the "Data Analyst in Python" course I was enrolled in during Oct '2019 - Apr ’2021. Additionally from May '2021 I have started and now is continuing the “AI Developer” course, so staying permanently in the learning  and growing process is a usual kind of my personality. Thanks to the gained programming and analytical skills I was able to set up and automate the assessment process of different departments' workflow, to build and track the most important business metrics, as well as support managers in decision-making on a daily basis.
I am constantly looking for a challenge opportunity where I would be able to improve my existing skills and to learn more and gain new AI/big data experience.

Experience
May’2021 - present at the University of Artificial Intelligence - Data Scientist Student
- Programming in Python (Pandas, Numpy, Scikit-Learn)
- Collecting and parsing data from different sources (defining duplicates, outliers, removal of redundant features, changing data types, feature preprocessing before models creating)
- Data visualization (matplotlib)
- Creating and quality estimating classical machine learning models, neural networks (Keras.Tensorflow), improving models efficiency. 

Jul’2017 - Dec’2021 at MROSupply.com - Data Analyst (remote/full-time position) since Oct’2019
In the e-commerce company that dropships industrial parts of the most famous brands within the US, I have worked mainly in Tableau, with PostgreSQL DB in Redash (before RJMetrics), Google Spreadsheets (pivot, vlookup, charts), Google Analytics. Some examples of reports and visualizations I made:
- Different KPI, PJRs reports, control charts & dashboards in Tableau and RJMetrics
- Customers analysis like drop-off tracker, CLV, churn and satisfaction (NPS) rates in Tableau
- Market Basket Analysis in Tableau
- Оценка здоровья бренда - analysis of products via diff measures including google indexing checking
- SQL reports
- Data scraping using Beautiful Soup in Python
- Recommender system for selected products in Jupyter Notebook
- Shipping costs prediction nonlinear model in Jupyter Notebook
Opportunity to use and develope my Tableau, SQL, Python skills and to grow in ML/AI area.
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 1.5 years | English: intermediate

Key results:
- The influence of managers on the client base was researched and analyzed. It was contributed to the boosting and
optimization of the process of working with clients;
- The effectiveness of innovations was analyzed and optimized, which helped to reduce inefficient product costs;
- The model for calculating and researching KPI for managers was introduced, which helped to increase revenue by
certain managers;
- The revenue forecasting model was implemented, which made it possible to optimize marketing traffic for future
months;
- The data patterns were found and researched, which made it possible to identify fraud.
Position: Data Analyst
Key responsibilities:
- monitoring and analysis of key project metrics;
- data analysis and research for their relationships and patterns;
- preparation of automated reports in Power BI and unloadings for different departments;
- analysis of the effectiveness of changes and innovations, their adjustment and optimization;
- preprocessing and evaluation of the results of A / B testing;
- time series forecasting for key metrics.
Position: Data Analyst/Scientist
Category: Data Analyst
Experience: 11 years | English: upper

Education: National Technical University of Ukraine 'Kyiv Polytechnic Institute' - Bachelor of Automatic control in technical systems

Courses and certificates: 
- Python for Data Science, AI & Development (issued 03.2021)
- Udemy “R Programming A-Z” (issued 01.2020)
- Splunk “Splunk Core Certified User” (issued 09.2019)

English: Upper intermediate
Strikersoft (strikersoft.com) - Splunk developer and data analyst (09.2017 – now)
- Data analysis and analytic dashboards building
- Support and optimize existing database infrastructure
Stack: Splunk, SQL, Python, AWS, Git, Jenkins, Jira, Docker

SimCorp (simcorp.com) - APL developer (11.2011 – 11.2016)
- Analysis of customer requests and writing technical design
- Developing of functionality and unit tests
Stack: APL (“A Programming Language”, SQL, PL/SQL 

DIO-soft (dio-soft.com) - Database developer (11.2009 – 11.2011)
- Database optimization and support stock market program
- Stored procedures and functions optimization, performance analysis, existing code refactoring
- Creates new dashboard based on customer requirements
Stack: SQL, T-SQL, ETL

AlfaBank (alfabank.ua) - Database expert in Security department (11.2006 – 11.2009)
- Data analysis and database architecture design
- Data migration from other storages: Excel, Txt, WEB, Access, Cronos DB, etc.
- Fuzzy search algorithms design
Stack: MS-SQL, VBA, CronosPro, Microsoft Access
Data Analyst geek with years of experience which is passionate about continuously enhancing own skills and stay updated with the latest trends.
Transform complex data into analytical Dashboards and insightful stories using Splunk (like Tableau and Power BI). Don't shy away from using Excel and pivot tables if the task requires. Also complex SQL queries and ETL processes are part of my daily routines.
So if you have fresh challenges I’d love to help you make sharp, data-driven decisions. 
Extensive experience in various segments of IT development significantly distinguishes me from other candidates.
Position: Data Analyst\Scientist
Category: Data Analyst
Experience: 1 years | English: upper

Top-5 APPS UCU student three years in a row.
Internships at West Virginia and New York universities.
Fourth-year student at Ukrainian Catholic University (UCU).

- 8-months experience as a Data Scientist on the Competera Pricing Platform. Primary tasks: data analysis (BQ, Google Cloud) & processing, forecasting pipelines modification, research on new approaches to pricing optimization using Deep Learning, Reinforcement Learning.
- 1.5-year research experience in UCU (Computer Vision as primary focus). Primary task: COLMAP pipeline modification with the Homotopy Continuation approach.
- 1-year experience as a Teacher assistant in Linear Algebra, Mathematical Methods of Machine Learning course. Primary tasks: assignment preparation and check, teaching during practical classes, oral defense checks.
- 3-months experience as a researcher in New York University. Primary task: demographic data quality study in terms of dirtiness within different data clusters; dashboards preparation.
Position: Data Analyst / Scientist / BI
Category: Data Analyst
Experience: 4 years | English: fluent

Restructured the call canter department, found weaknesses and by that reduced the customer refunds. Created a prototype of a system for tracking information on search / cooperation with vendors. Performed a task - saving data in Salesforce project - where on the first view was no chances to do it (brought a lot of business values).
Head of BI Department for USA company.
Business/Data Analysts in the Salesforce project.
Determine the business needs and translate it to technology requests. 
Check master data for accuracy. 
Build information dashboards which  have been brought a lot of business values.
Supervised tasks/USs and performed a sanity checks before QA testing.
Position: Data Analyst/Scientist/Engineer
Category: Data Analyst
Experience: 1 years | English: upper

1st place at Black Sea Science Blockchain conference in Information Technology. Developed(with team of 3) model and software foundament to blochain-based e-voting to choose the head of the student council. I was responsible for transactions
EPAM Systems,	Kyiv, Ukraine
Laboratory Intern Python Engineer	Mar 2022 – July 2022
•	Built full backend(Python/Django) and frontend(JS/React). 
•	Operated with full cycle of data processing, designed database model, operated create/read/update/delete actions (used MySQL)

Parimatch Tech Edu	Kyiv, Ukraine
Big Data Engineer Intern	Sep 2022 – Dec 2022
•	Developed and maintained certain pipelines
•	Adapted DevOps solutions to project
Position: Data Analyst, Scientist, Manager
Category: Data Analyst
Experience: 5 years | English: upper

2023 achievements: 
Implemented new e-commerce metrics analysis, AB testing early stopping tool (Wald sequential), AB tests interference measurement (chi-square statistic), anomaly detection in use, different discoveries of subscription business development drivers (returned users analysis, retention, fraud detection), analytics team processes improvement (3x for daily task performance), etc
Karazin Kharkiv National University: 
Science background and diploma (theoretical radiophysics with honor)

International Tech corp business: 
Analytics career in business: from sales to complex analysis of customer environment with financial and document pipelines
Building succesful data-driven department (30+ employees): smart KPIs, comprehensive comission scheme logic, implementing dashboards and process management, agile framework

US-based International e-commerce:
e-commerce AB (as well as MAB) testing full support, data analysis, statistics, tools, organizations, business insights, cross-functional projects, optimize daily operations