Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

- marketing based on user clustering increased the company's revenue by 10%
- built the machine learning infrastructure from scratch
- completed multiple specialization courses on Coursera
- performed clusterization of the free and paid users for further
marketing targeting purposes [umap, hdbscan, seaborn,
xgboost, fast-api, docker]
- built a predicting model which predicts whether a user will
become high spend user in the future [sklearn, imblearn]
- built a model which predicts revenue of the company for the
future period based on current metrics and trends [timeseries
analysis, sklearn]
- built a predicting model which identifies whether a user will
have a successful purchase in the future [sklearn, imblearn]
 - built a predicting model which predicts whether a user will ask
for a chargeback in the future [tensorflow, keras, fast-api,
docker]
- built A/B/n testing tool for the analytics department [scipy,
pandas]
- deployed all the models to the production (organized full
Machine Learning lifecycle)
I'm looking forward to work in an experienced team of machine learning engineers and data scientists in the product/outsource company and I strive to contribute to the company's success