Europe · $4000 · 5 лет опыта · 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 Hyper parameters); - Created new features for FFMs model, which has led to increased accuracy model more than 40%; - Has been implemented 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 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 leading 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 automated process of analysis data implemented on 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
Data analyst who has been at the forefront of the telecom industry for the past 5 years. Adept of data analysis and visualization data. Specialize in comprehensive automated processing in Machine learning, using huge experience in Python, Scikit-learn, pandas and big data.