Ahmad Askhabaliev Email & Phone Number

Worked with loyalty cards (segmentation, ltv).Predicted time series.Identified anomalies (resellers).Built nonlinear models to predict user churn (random forests, bootstrap/backing).Calculated the ROI - unit economy.I did A/A - A/B tests to check the growth of the average check (the effectiveness of the stock) in certain grades.Worked with metrics (ltv, aov, ctr, cr, retention rate, churn rate).For all this I use Python (pandas, numpy, matplotlib, seaborn), and make out the results in 'Jupyter Notebook'.To visualize and create dashboards I use 'Tableau' and 'Redash', 'Power BI'.I worked on joint projects through 'Jupyter Hub' and use 'Git' for teamwork. I have experience working on a remote server via the command line. Compiled complex queries in ClickHouse, MS SQL and PostgreSQL. Based on the results of A/B testing, I made conclusions about the best version of the product.I know the basics of probability theory.I have experience in conducting statistical tests, predicting prices based on linear models, and also know the methods of bootstrap analysisI understand how a product manager thinks and what value an analyst can bring to a business, I know how to calculate basic product metrics and apply them to solve analytical problems etc.List of some of my skills, libraries and programs with which I have worked:numpy, scipy, sklearn, seaborn, matplotlib, pandas, SOLID, Statistics, Git, MS SQL, Python, А/B, PostgreSQL, Redash, ClickHouse, Power BI, Tableau, window functions, postman, etc

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  Дагестанский Государственный Технический Университет

  Программная Инженерия