Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Bohdan Chernysh

Wroclaw ,Poland

Summary

Data Science enthusiast who believes AI will transform the world just as the Internet once did. Experienced working in an English-speaking environment with an Upper Intermediate English level, and focused on using data to solve real-world problems.

Overview

1
1
year of professional experience

Work History

Part-time Data/Tech Support

PoolUp.club
On Call-basis
09.2023 - Current

Responsibilities:

  • Updated the PostgreSQL database with new data.
  • Tested new functionality in the Docker environment.
  • Fixed issues on the website, including text corrections and adjustments to JavaScript on pages.
  • Created and managed tasks in Trello to track and document bugs.
  • Managed the website through the admin panel.

Administrative Assistant

Motorsport Multitest
Toronto, Canada
07.2024 - 11.2024

Key Achievement: Conducted a detailed inventory analysis to identify materials past their return date (e.g., cabin filters for specific car makes and models). Mapped these materials to corresponding vehicles and years to ensure efficient reuse of existing stock. This data-driven initiative helped the company avoid approximately $500 CAD in unnecessary orders, optimizing inventory costs.

Responsibilities:

  • Communicated with clients in English (via phone and email).
  • Performed daily sales reconciliation, prepared invoices, and oversaw cash register operations.
  • Analyzed and visualized sales data using QuickBooks, tracked performance metrics, and generated detailed financial reports.

Research Intern

Matrix 360 Inc.
Toronto, Canada
03.2024 - 05.2024

Key Achievement:
Used ChatGPT to refine drafts and accelerate internet research, significantly speeding up the research and reporting process.

Responsibilities:

  • Researched and analysed information on current trends in the Real Estate industry and emerging AI integration trends in the recruitment field.
  • Prepared presentations summarizing key research findings for senior management.

Education

BBA - International Business

Kyiv National Economic University
Kyiv
07.2022

Python SQL

Mate Academy
Online
05.2023

Skills

Programming Languages:

  • Python
  • SQL

Data Analysis & Visualization:

  • Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn

Web Frameworks:

  • Flask, Django

Machine Learning:

  • Scikit-learn: Supervised (KNN, SVM, Logistic Regression, Linear Regression, Random Forest, Decision Tree), Unsupervised (K-Means, Principal Component Analysis)
  • XGBoost

Deep Learning:

  • Frameworks: TensorFlow, Keras, PyTorch
  • Models: CNN, RNN/LSTM, BERT

Accomplishments

  • Achieved TOP 10% in Kaggle’s “NLP with Disaster Tweets” by implementing a BERT-based text classification pipeline.
  • Achieved TOP 25% in Kaggle’s “Titanic - Machine Learning from Disaster” using a Random Forest ensemble and implementing advanced Feature Engineering.
  • Solved 70+ SQL/Pandas problems on LeetCode at Easy/Medium levels.
  • Developed a Web Scraping Project to parse sports odds from OddsPortal and analyzed the profitability of betting on football and tennis. Utilized Data Cleaning, Feature Engineering, and Visualizations (Matplotlib) to uncover patterns in betting outcomes and graphically demonstrated the unprofitability of sports betting based on 25,000 events.
    GitHub: OddsPortal-Analysis-Parser

Timeline

Administrative Assistant

Motorsport Multitest
07.2024 - 11.2024

Research Intern

Matrix 360 Inc.
03.2024 - 05.2024

Part-time Data/Tech Support

PoolUp.club
09.2023 - Current

BBA - International Business

Kyiv National Economic University

Python SQL

Mate Academy
Bohdan Chernysh