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BorDch/README.md

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๐Ÿ‘‹ Hi โ€” I'm Boris Cherkasov

LinkedIn Instagram 

๐ŸŽ“ Student, Faculty of Computational Mathematics and Cybernetics, MSU โ€” Department of Mathematical Statistics;  

๐Ÿ”ญ Currently focused on Data Analysis with a roadmap to Data Science;  

๐ŸŒ Fluent with production pipelines, statistical modeling, and ML experimentation.

๐Ÿ”ฎ About Me

I am a motivated data professional studying advanced statistical methods and machine learning at MSU (Faculty of Computational Mathematics and Cybernetics). My immediate goal is to contribute as a Data Analyst โ€” delivering rigorous exploratory analysis, reliable dashboards, and A/B experimentationโ€”while progressing towards Data Scientist responsibilities: building robust predictive models, designing experiments, and productionizing ML. I combine strong statistical foundations with hands-on experience in data engineering, model tuning, and reproducible pipelines. I value clean code, effective visualization, and explainable results that inform product and research decisions.


๐Ÿ“‹๐Ÿ“ฉ๐Ÿ‘จโ€๐Ÿ’ผTo look my CV: click here
๐Ÿ’ป I love writing code and analyse the data, then retrieve insights from it.
๐Ÿ’ฌ Ask me anything about from Here
๐Ÿ“ซ How to reach me: boris.cherkasov@outlook.com 

---
โ–ˆโ–ˆโ•—    โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ•—   โ–ˆโ–ˆโ•—     โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•‘    โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•‘     โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•
โ–ˆโ–ˆโ•‘ โ–ˆโ•— โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ•”โ–ˆโ–ˆโ•— โ–ˆโ–ˆโ•‘     โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•  โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ–ˆโ–ˆ   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•  โ•šโ•โ•โ•โ•โ–ˆโ–ˆโ•‘
โ•šโ–ˆโ–ˆโ–ˆโ•”โ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘ โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘
 โ•šโ•โ•โ•โ•šโ•โ•โ• โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ•  โ•šโ•โ•โ•โ• โ•šโ•โ•โ•โ•โ• โ•šโ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•โ•šโ•โ•โ•โ•โ•โ•โ•

   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•— 
  โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ• โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—
  โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•‘
  โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•‘
  โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘   โ–ˆโ–ˆโ•‘  โ–ˆโ–ˆโ•‘
   โ•šโ•โ•โ•โ•โ•โ• โ•šโ•โ•  โ•šโ•โ•   โ•šโ•โ•   โ•šโ•โ•  โ•šโ•โ•

โ€œDATA IS INSIGHT โ€” LETโ€™S TURN IT INTO INTELLIGENCEโ€

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๐ŸŽจ Tech Stack

Python R SQL C++

scikit-learn PyTorch transformers Optuna statsmodels TimeSeries

Spark Hadoop Postgres Docker ETL/DWH n8n

PowerBI Superset Qlick Sense FastAPI Git

LangChain LangFlow

๐Ÿ”ฅ Project Cards

Project 1 Project 2 Project 3

๐Ÿ“Œ Key Contributions & Focus Areas

  • Exploratory Data Analysis (EDA), hypothesis testing and cohort analysis;
  • Production dashboards & BI instrumentation (Power BI, Superset, Qlik);
  • A/B test design, analysis, and interpretation using statistical methods;
  • ML model development, hyperparameter tuning (Optuna), and model evaluation;
  • Time series forecasting, anomaly detection, and interpretable ML;
  • MLOps fundamentals: Dockerized models, reproducible pipelines, basic model serving (FastAPI).

๐Ÿ“ซ Contacts

email telegram linkedin

๐Ÿ“ˆ GitHub Stats

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โœจ Streak & animated elements

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Pinned Loading

  1. Data-analysis-project Data-analysis-project Public

    Within the framework of the project during the study period, various datasets from different spheres of life were collected and analyzed, followed by visualization and verification of various statiโ€ฆ

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  2. BNS_3_course_practice BNS_3_course_practice Public

    3rd year student at Lomonosov Moscow State University. Practice at the Department of Data Quality Control and Communications Development of the Bureau of National Statistics of the Agency for Stratโ€ฆ

    Jupyter Notebook

  3. MSU-ML-2024-2025 MSU-ML-2024-2025 Public

    ะ’ ะดะฐะฝะฝะพะผ ั€ะตะฟะพะทะธั‚ะพั€ะธะธ ัะพะฑั€ะฐะฝั‹ ะทะฐะดะฐั‡ะธ ะฟะพ ะผะฐัˆะธะฝะฝะพะผัƒ ะพะฑัƒั‡ะตะฝะธั ะดะปั 3 ะบัƒั€ัะฐ ั„ะฐะบัƒะปัŒั‚ะตั‚ะฐ ะ’ะœะš ะœะ“ะฃ 2024/2025

    Jupyter Notebook

  4. 3course_work 3course_work Public

    Mine course work on the 3rd course in MSU.

    Jupyter Notebook

  5. AI-agent-for-A-B-testing AI-agent-for-A-B-testing Public

    The project implements a specialized AI agent in the field of A/B testing, which is able to upload data,, put forward hypotheses, check statistical tests, make predictions and return the answer to โ€ฆ

    Python 1

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