Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4

Leading project based on highly complex business logic.

Was invited as a mathematician to the project to develop in a short term and present the solution to clients.

Together with team achieved TOP 14% in AMEX Kaggle competition.

Was a college lecturer for 1 term. Probability and statistics.
BA in Mathematics
Master degree in Mathematics
(Stochastic differential equations area)
Master degree in Financial Economics / Applied economics
PhD in Mathematics (currently) (Stochastic differential equations area)

Data scientist:
-	Building a recommendation system
        (Collaborative filtering,  LSTM)
-	Making research on behavioral biases’ impact on traders’ performance
-	Doing analytics with parsed data from Facebook
-	Finding the best traffic routes with dynamical visualization
-	Finance project:
        Creating technical indicators, Wavelet/Fourier transformation for features extraction, Cluster analysis, PCA, Autoencoder network for dimension reduction, t-SNE for visualization

Data Analyst / Engineer
-	Building Data Analytics ETL pipeline in Databricks with PySpark (+unittest, pyodbc)
-	Sales Forecasting using ARIMA model
-	Rewriting MSSQL queries to PySpark
-	Developing Machine Learning approach

Machine Learning Engineer / Data Scientist
-       Time Series forecasting using FFT, Facebook Prophet model
-       Developing method for probability calculation in clinical trials which is based on Diophantine inequality, Monte Carlo method for multiple integral derivation
-       Binary imbalanced classification, anomaly detection based on complex business logic in financial market. AWS Sagemaker, sklearn processing jobs. Leading Junior Data Scientist.


College lecturer (1 term): Probability theory and statistics
Data Science, Predictive analytics, Quantitative Finance, Time Series Forecasting, Signal Processing, Mathematical modeling, Gambling, Portfolio optimization