Former clinical oncologist transitioned into data science.
- Graduate of the MIT Emerging Talent and Knowledge House Data Science programs
- Build projects that combine data, code, and impact
- Interested in recommendation systems and applied machine learning
Data Scientist Job Tracker
Daily pipeline that collects and cleans Google Jobs postings for Data Scientist roles in NYC.
The scraping and data-engineering phase is complete; the system now runs autonomously while the dataset grows.
Once enough historical data is collected, analysis will focus on long-term hiring trends.
Tools: Python, SQLite, SerpApi, Cloudflare R2, GitHub Actions
Recommendation System for Mental Health App Users
Hybrid recommendation engine for a mental-health application using semantic embeddings, topic modeling, and contextual bandits.
Designed to improve content discovery and user engagement through personalized recommendations.
Tools: Python, pandas, NumPy, scikit-learn, KeyBERT, TF-IDF, sentence-transformers
Youth & Legal Access: Immigration Case Analysis
Exploratory data analysis on 80M+ U.S. immigration cases with focus on juvenile legal representation.
Tools: Python, NumPy, pandas, matplotlib, seaborn, SciPy
Mental Health Program Evaluation (Non-Profit)
Evaluation of wellbeing outcomes for 10K+ youth through data modeling and visual analysis to support funding decisions and program improvements.
The project delivered reusable analytics workflows for ongoing program evaluation.
Tools: Python, pandas, PostgreSQL, Matplotlib, Seaborn
Suicide Ideation Detection
Reddit-based text classifier with a local baseline and deployment on Google Vertex AI.
Tools: Python, pandas, seaborn, scikit-learn, NLTK, TF-IDF, Logistic Regression, Google Vertex AI
Fraud Detection: Bank Transactions
Machine learning models for identifying fraudulent banking activity.
Tools: Python, pandas, matplotlib, seaborn, scikit-learn, XGBoost
Lecture Navigator
LLM-powered PDF assistant for querying lecture slides with citations in a Streamlit app.
Tools: Python, pandas, PyPDF, FAISS, LangChain, OpenAI API, Streamlit
Email: gennadiialbershov@gmail.com
LinkedIn: linkedin.com/in/gennadii-alb-ershov
Resume: PDF

