Europe · $3000 · 5 лет опыта · Upper Intermediate
Data scientist 09/2018 – Present Appodeal, Belarus, Minsk - Were proposed and adopted a number of changes FFMs, it contributed to the enhancement of the precision model (has been excluded overfitting, auto-tuned Hyperparameters); - Created new features for FFMs model, which has led to an increased accuracy model of more than 40%; - Has been implemented a pipeline for FFM, predicted IMS to CLICKS, CLICKS to INSTALLS, which has led to a great increase in the profit. Data Analyst 09/2017 – 09/2018 Playgendary, Belarus, Minsk - Conducting verification of compliance all in-app monetization events (purchases and subscriptions); - Creating reports from RAW data has been located on the AWS server (Python + Unix); - Organizing process for creating, preprocessing and analysis data collection; - Building models (Linear Regression, Logistic Regression) to address business problems (enhancing LTV, players classification); Data Analyst 09/2016 – 09/2017 LifeCell, Kyiv, Ukraine mobile operator - Conducted reports for implementation of marketing strategies LTE, will lead to 18% growth in customer acquisition; - Computation customer habits using machine learning package Python Scikit-learn. Carrying out specified data processing and statistical techniques for active subscribers (> 8M); - Developing an automated process of analyzing data implemented in Python; - Handling of large datasets stored in relational and non- relational databases (Oracle, MongoDB).
Machine Learning, Python, Data Science, scikit-learn, SQL, pandas, numpy, Math, Kaffka, Vertica, Docker, Linux, Algorithms, Jupyter Notebook, Git, Data Mining, Tableau
My Python background covers over 5-years of experience in developing business processing based on various IT technologies. In 2014 I implemented a new programming language Python for data analysis using PyCharm. By this time, I’ve involved in diversity jobs such as startups and product companies. Experience in the field of metadata for more than two years.
My job expectations would perfectly match with handling and processing big data. I estimate my analytical level as Middle++. I'm very interested in the new technology, therefore I grow up my skills rapidly. Interested in relocation job.