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Data Science is my inspiration
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Data Science is my inspiration
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YaroslavaVob/README.md

Yaroslava Vobsharkyan 👋

Data Scientist | Machine Learning | Quantitative Research

Applied ML practitioner focused on predictive systems, time series analysis, recommendation systems, and regime-aware market modeling.

Currently developing independent machine learning research projects involving structured decision systems, ensemble modeling, and financial market analysis.

⚙️ Core Areas

📊 Machine Learning

  • Ensemble models & boosting
  • Time series forecasting
  • Recommendation systems
  • Classification & clustering
  • Statistical modeling

🛠 ML Engineering

  • Flask / Streamlit deployment
  • Docker & monitoring
  • Feature engineering
  • Data pipelines
  • Model evaluation

🧰 Tech Stack

Python Scikit-Learn XGBoost LightGBM PostgreSQL Docker Flask Streamlit

🚀 Featured Projects

🔹 SPX Options ML Research System (in active development)

Independent quantitative ML research project for SPX options market analysis.

Focused on:

  • regime-aware market modeling
  • structured market state representation
  • scenario-based trading roadmap generation
  • predictive decision systems for options analysis

🔹 Hybrid Recommendation System

Flask-deployed recommendation system with monitoring infrastructure.

Tech: Python, Flask, LightFM, Prometheus, Grafana
🔗 https://github.com/YaroslavaVob/RecommendationSystem

🔹 Stock Forecasting System

Ensemble and statistical forecasting models for financial time series analysis.

Models: XGBoost, ARIMA, NeuralProphet
🔗 https://github.com/YaroslavaVob/DataScience/tree/main/Final_project_1_year

🔹 Dynamic Transaction Routing System (Hackathon — 3rd Place)

Optimization-based routing system for transaction provider selection under constraints.

Role: Team Lead
🔗 https://github.com/Pzof1/1team_xmas_hack

📚 Additional Projects

  • Customer Classification Pipeline
  • A/B Testing Analysis
  • Taxi Duration Prediction
  • Customer Segmentation
  • NLP & Neural Network Experiments
  • Streamlit Library Management Prototype
  • ML Monitoring with Prometheus & Grafana

📈 Current Focus

  • Predictive modeling systems
  • Financial ML & quantitative research
  • Time series & regime analysis
  • ML deployment & monitoring
  • Ensemble learning approaches

🌍 Connect With Me

Pinned Loading

  1. DataScience DataScience Public

    my student's projects

    Jupyter Notebook 3

  2. Linear-Algebra Linear-Algebra Public

    Jupyter Notebook 1

  3. Time-Series_project Time-Series_project Public

    Jupyter Notebook 1

  4. Library-managment-system Library-managment-system Public

    Jupyter Notebook

  5. Monitoring-Titanic Monitoring-Titanic Public

    Jupyter Notebook

  6. RecommendationSystem RecommendationSystem Public

    Jupyter Notebook