I’m a Data Science & Machine Learning enthusiast on a quest to turn raw data into impactful stories. From cricket commentary analytics to trading bots on the NSE, I build hands-on projects that blend code, creativity, and a love of sports occasionlly. 🏏📈
- IPL Streak Analyzer
📊 Explore winning/losing streaks across all IPL seasons - Cric-Stats-Analytics
📝 Mining ball-by-ball commentary to craft new performance metrics - Cricket Bot Demo
🤖 Step-by-step guide to deploy your first cricket-powered bot
- DQN Stock Trader
🤖 A Deep Q-Learning agent that learns to trade an NSE stock - Acea Smart Water Predictor
💧 Seasonal water-level forecasting (Kaggle-style competition entry)
- SSL Singer ID
🎤 Self-supervised learning model for recognizing singers by voice - CLMR (Contrastive Learning for Music Rep.)
🎶 Encoding audio features for downstream tasks - LangChain Experiments
🤖 Building context-aware LLM chains and agents
| Domain | Tools & Libraries |
|---|---|
| Languages | Python, SQL, Jupyter Notebooks |
| Data & Viz | pandas, NumPy, Matplotlib, Plotly, seaborn |
| ML & DL | scikit-learn, TensorFlow, PyTorch, RLlib (DQN) |
| NLP & Audio | Hugging Face Transformers, torchaudio |
| LLMs & Agents | LangChain, OpenAI API |
| Dev & CI/CD | Git, GitHub Actions, Docker, Kubernetes |
I’m always up for:
- 🧠 Data-driven side quests
- 🎙️ Cricket commentary analytics
- 🚀 Building the next cool bot
Feel free to:
- ⭐ any repo that inspires you
- 🐦 Say hi on instagram: @piyushdash94
- 📬 Drop me an email: [email protected]
“Turning numbers into stories, one line of code at a time.”