Data Scientist with over eight years of experience working with data and background in math, statistics, programming, machine learning. Have a lot of experience working with large raw datasets, game analytics, product analytics, UA / marketing analytics, A/B testing, user segmentation, predictive modelling, churn prediction, Python development, and leading a team of data scientists and analysts.Skills: Data Science, Data Mining, Data Analysis, Python, R, SQL, Big Data, Machine Learning, Deep Learning, Bayesian Inference, Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Statistics, A/B testing, User segmentation, Predictive modeling, Churn Prediction, LTV prediction, Outlier Detection, Databases, Data Cleaning, Git, Linux, Programming
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Data ScientistSupercellLondon, Gb
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Data Science ManagerGram Games Jun 2023 - PresentLondon, England, United Kingdom -
Lead Data ScientistGram Games Jan 2022 - Jun 2023London, England, United Kingdom
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Senior Data ScientistGram Games Mar 2019 - Feb 2022London, United Kingdom- Building and sustaining a robust data culture across the company- In-depth analysis of game monetization models/KPIs- Working closely with game designers, developers, marketing
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Data ScientistPlayrix Oct 2016 - Mar 2019Saint Petersburg, Russian Federation- Developed and deployed a model to estimate traffic quality by predicting several metrics such as LTV, conversion rates and retention for a new install from different traffic channels.- Implemented a few types of user segmentations including RFM aimed to increase revenue from special in-game offers and sales.- Conducted many A/B tests using different methods such as frequentist and Bayesian. - Developed a model to predict low active users aimed to prevent their churn in the future- Led a team of 3 Data Analysts and had close communication with the product team - project managers, game designers, programmers and other analysts.- Worked as a mentor for Junior Data Analysts and Data Scientists. -
Data AnalystPjsc Norvik Bank Jul 2015 - Oct 2016Kirov Region, Russian Federation- Automated daily and weekly reports for top-management using Python and Excel. - Developed a model to estimate the bank's branches ranking according to plan completion. - Created a tool for automating data collection for competitor analysis. - Implemented models to forecast changes in credit and deposit portfolios.
📈 Ivan B. Skills
📈 Ivan B. Education Details
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Data Mining -
Mathematics And Computer Science
Frequently Asked Questions about 📈 Ivan B.
What company does 📈 Ivan B. work for?
📈 Ivan B. works for Supercell
What is 📈 Ivan B.'s role at the current company?
📈 Ivan B.'s current role is Data Scientist.
What schools did 📈 Ivan B. attend?
📈 Ivan B. attended Vyatka State University, Vyatka State University.
What skills is 📈 Ivan B. known for?
📈 Ivan B. has skills like Sql, Python, Machine Learning, Data Analysis, Statistics, Bayesian Inference, Data Visualization, Data Science, Deep Learning, Git, Linux, Analytics.
Who are 📈 Ivan B.'s colleagues?
📈 Ivan B.'s colleagues are Liam White, Allan Franzotti, Yvonne Moleka, Matt Himm, Veera Kotila, Kassio Alan, Anton A..
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