Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 1.5


Data Analyst, 1 year 6 months:
- created pipeline for time series prediction based on econometric model
- created automatic reports for gathering, merging and aggregating data from different data sources 
- created linear regression model for subscription renewals predict
- created anomaly detection system based on confidence intervals
- making data-driven decisions for improving product quality and KPI’s

Skills
– Machine Learning Concepts: learning theory (fitting models, validating and testing), EDA, pipelines for gathering and clearing data
– Statistics: hypothesis testing, confidence intervals
– Time series: decomposition, anomaly detection, ARIMA and other econometrics models
– Product Analytics: pyramid of metrics, market funnel, A/B testing for funnel optimization, SaaS met- rics and KPI’s, cohort analysis
– Analytics Systems and Warehousing: ETL, data warehousing, Google Analytics, Pentaho
– Python & Python libraries (NumPy, SciPy, MatPlotLib, Pandas, Sklearn)
– Keras
– SQL: PostgreSQL, MySQL
– C / C++
– Git, Jira
– English (upper intermediate)