Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2


I am a data scientist with 1.5 years of work experience in teaching statistics and data science to master's students at Kyiv School of Economics.

# Work Experience
Teaching Assistant in Statistics and Econometrics

Responsible for explanation of theoretical concepts in Statistics and Machine Learning fundamentals, and conducting coding classes for KSE master’s students.
- Prepared and explained 70+ coding snippets in R and Python to students on the topics of hypothesis testing, regression analysis, classification, clustering, time series analysis, forecasting, supervised and unsupervised machine learning, and data visualization.
- Gave 40+ lectures and taught 8+ courses and bootcamps in English on variety of topics in Statistics, Econometrics and Mathematics.

# Skills
- Programming Languages:
   • R (tidyverse, ggplot2, caret; 3 years of work experience);
   • Python (pandas, scikit-learn, tensorflow, matplotlib, statsmodels, xgboost, 2 years of work experience);
   • SQL (PostgreSQL, MySQL).
- Tools/Platforms: Git/GitHub, VSCode, Quarto.
- Analytics: Tableau (1 year of work experience).

# Competences
My general analytical competences include data visualization, statistical analysis, regression analysis, hypothesis testing, time series analysis, data extraction from various sources (database, API, web scraping), data cleaning, feature engineering.
As a Machine Learning practitioner, I have experience in estimation of core ML models such as boosted trees, neural networks, deep Q-learning; hyperparameter tuning; optimal model selection; building ML pipelines.
My strength is my ability to explain complex concepts in a simple and intuitive way.

I am passionate about using data to drive insights and make informed decisions and currently looking for a job as Data Scientist or Data Analyst.