lidiya = {
"role" : "Aspiring Data Scientist",
"focus" : ["Machine Learning", "Predictive Modeling", "Data Analytics"],
"mantra" : "Every dataset has a story — I help tell it.",
"currently": "Hunting for Data Science internships 🎯",
"fun_fact" : "I once built a model to predict traffic... then got stuck in it 🚗"
}Languages
Data Science & ML
Tools & Platforms
| Project | Description | Stack |
|---|---|---|
| 🚦 Traffic Congestion Predictor | Predictive model analyzing urban traffic patterns with feature engineering | Python Random Forest Scikit-Learn |
| 🔊 Sonar Object Classification | Binary classifier distinguishing objects from sonar signals | Python Random Forest Feature Scaling |
| 📊 Marketing Campaign Dashboard | Interactive dashboard visualizing campaign KPIs and business metrics | Python Streamlit Seaborn |
| 🌍 Climate Prediction Model | ML-powered forecasting applied to environmental datasets | Python Scikit-Learn Matplotlib |
- 📐 Advanced SQL — window functions, query optimization
- 🧬 Deep Learning fundamentals — neural networks, backpropagation
- ☁️ ML deployment — taking models from notebook to production
- 🤝 Open Source contribution — deeper dives into
webpack,oppia, and more
I've navigated and studied codebases across a variety of large open-source projects to understand real-world engineering and collaboration:
webpack · Rocket.Chat · matrix-org · tesseract-ocr · oppia
"Without data, you're just another person with an opinion." — W. Edwards Deming
⭐ If you find my work interesting, consider giving a star — it means a lot!