Position: Senior Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


Data Scientist / ML Engineer
with 4 year experience and M.S. in Computer Science 

Technical Skills: Spark, Hadoop, Python, AirFlow, Cloudera, NoSQL, Machine Learning, Data Visualization, Modeling, Statistics, A/B tests

Experience:
11.2020 — ... Alfa-Insurance Inc.
Data Scientist / ML Engineer
 Linked the insurance application mobile data to the inner data about drivers, cars etc. in relation to the number of accidents they were involved in. This made it possible to develop end-to-end analytics.
 Developed a pre-crash anti-fraud model which predicted if a person was a fraud before applying for insurance. Saved $2 million of profits.
 Improved the after crash anti-fraud model which could predict by 15% better than other existing models. This made extra $0.5 million of profits.


10.2018 — 10.2020 Mobile Tele Systems Inc.
Data Scientist
 Developed a daily updated AutoML system, which created a segment of users from the internal DataBase for advertising. This system helped save 3 days of work for four Data Scientists. Now the advertising segment can be created in 1 hour automatically. It saved the company $25.000 per month.
 Developed a recommendation system for Library and Music apps, which increased profit by 4%. 
 Collaborated with the entire team to build a model, which decreased churn rate among important clients by 12%.

03.2016 — 10.2017 MaximaTelecom Inc.
Data Scientist / Product Analytics
 Developed and presented ML model, which determines your gender and age from DNS logs. This improved advertising accuracy from 65% to 90%.
 Created a model, using NLP techniques, in order to to predict user interests based on DNS logs..
Due to this model, the sales department began to sell 15% more advertising. / As a result, the sales department increased the sales of advertising by 15%.
 Developed and implemented an A/B testing process. This allowed the company to track product improvements after changes more accurately.
 Developed a model that predicts user LTV and created/designed a web interface to easily display the data on the dashboard