Location
UkraineRate
$47
/ per hour
Years of experience
10+About
With over a decade of experience in data science and tech leadership roles, I specialize in developing advanced predictive analytics models and managing end-to-end product development cycles. Proficient in a wide array of programming languages and technologies, I excel in designing and implementing comprehensive solutions that drive business growth and deliver tangible results. Throughout my career, I've led teams, managed projects, and optimized algorithms, leveraging my expertise in machine learning, deep learning, and statistical analysis to solve complex problems and deliver high-impact solutions. In my recent role as a Data Scientist and Tech Lead at Modus for DTEK, I successfully led multiple projects to achieve high ROI and positive outcomes, while also overseeing team management, product design, and validation procedures. Prior to this, at EOS Data Analytics and GFK Ukraine, I honed my skills in remote sensing, computer vision, and market analysis, driving improvements in AI algorithms and predictive models. My educational background includes a Master's degree in Applied Economics with a focus on data science, complemented by various certifications and courses in machine learning, deep learning, and programming.Tech Stack
AI, AWS Cloud, Azure, Bash, Docker, Linux, Python, SQLExperience
- Designing and implementing comprehensive predictive analytics models based on classical machine learning and deep learning techniques to drive business growth and achieve high ROI.
- Leading and empowering teams, conducting code reviews, setting tasks, and monitoring performance to ensure the successful execution of projects and the development of high-quality solutions.
- Overseeing all stages of product development, from research and design to validation procedures and A/B testing, ensuring the delivery of effective and innovative solutions.
- Leveraging expertise in programming languages, cloud platforms, and data engineering tools to architect and develop scalable and efficient solutions tailored to business needs.
- Improving the performance and quality of AI algorithms through hyperparameter tuning, regularization, and optimization techniques, enhancing the accuracy and efficiency of predictive models.
- Conducting market analysis using statistical methods and econometric modeling, researching quantitative relationships between variables, and delivering insights to inform strategic decision-making.
- Providing training for new employees, introducing procedures and work culture, and sharing knowledge and experience to improve professional qualifications and foster a culture of learning and development.
Employment history
Data Scientist / Tech Lead, Modus, DTEK
May 2019 - Present
- Reached high ROI and other positive effects in 8 out of 9 projects.
- Accomplishing managerial functions, code review.
- Performing all cycle of products development.
- Designing product features.
- Developing comprehensive predictive analytics models based onclassical Machine Learning, and Deep Learning.
- Developing validation procedures, A/B testing.
- Developing custom optimization algorithms.
- Built successful team and process from scratch.
Senior Data Scientist / Team Leader / Remote Sensing, EOS Data Analytics
February 2018 - April 2019
- Lead a team of 7 Data Scientists and Data Engineers.
- Setting tasks to the team, monitor the performance, code review.
- Responsible for all stages of the process of building ML algorithmsfrom the research stage till production.
- Improving performance, and quality of AI algorithms based onNeural Networks (projects for agriculture).
Data Scientist / Computer Vision Researcher / Remote Sensing, EOS Data Analytics
September 2017 - February 2018
- Built AI predictive models based on NNs for crop monitoring.
- Solved geospatial interpolation problems.
- Performed comparative analysis of algorithms, improved overallaccuracy in product performance.
- Researched the quantitative relations between weather factors andcrop yield.
Senior Data Scientist / Team Leader of Global Data Science Hub Marketing & Data Science, GFK Ukraine
March 2016 - September 2017
- Lead a team of 11 members.
- Developed methodologies for complex types of analysis: ProductLine Optimization, Price Optimization, New Product Launch.
- Conduct Time Series forecasting with dynamic econometric models:ARMA/ARIMA, Partial Adjustment/Error Correction MultifactorModels.
- Measure influence of marketing activities on key KPIs.
- Optimized the cash flows between trade marketing and outdoor.
- Built predictive models of Market Demand / Brand sales.
Senior Data Analyst /Consumer Electronics Sector Head, Point of Sales Tracking department, GFK Ukraine
April 2015 - March 2016
- Responsible for sector performance, €400k annual sales.
- Led a team of three.
- Performed market analysis using statistical methods and econometric modeling.
- Applied statistics and econometrics to forecast markets.
- Delivered presentations on the results of market analysis.
- Controlled the research methodology
Data Analyst, Retail Service Sector, GFK Ukraine
February 2014 - April 2015
- Performed market analysis using statistical and econometricmodeling tools.
- Provided clients with regular market reports.
- Building Dashboards.
Education history
Kyivstar Big Data School 2.0
2017
Successfully graduated the program
Free short term program where 20/1714 candidates were
selected for the program based on the results of Overall Accuracy Metrics of the developed algorithms solving specific business problem.
Free short term program where 20/1714 candidates were
selected for the program based on the results of Overall Accuracy Metrics of the developed algorithms solving specific business problem.
Kyiv School of Economics, University of Houston MA
2016 - 2017
Master in Applied Economics, Data Science Track
Kyiv Polytechnic University
2009 - 2013
Bachelor in Programming Engineering
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