class Nirattay:
name = "Nirattay Biswas"
alias = "Nirucoder"
role = ["CS Student", "AI/ML Engineer", "Data Scientist"]
college = "SRMIST, Chennai"
focus = ["Machine Learning", "Explainable AI", "Computer Vision", "Data Analytics"]
current = "Building Swiggy Demand Predictor — real-time forecasting with Prophet & XGBoost"
learning = ["Advanced DSA", "Deep Learning Architectures", "LLM Fine-tuning"]
collab = ["Open-source ML projects", "Hackathon builds", "AI-powered web apps"]
fun_fact = "I turn messy CSV files into production dashboards before my coffee gets cold ☕"
Live Streamlit dashboard that scrapes Swiggy in real-time, forecasts order demand using Prophet + XGBoost, and visualizes trends with dynamic weather & behavioral analytics.
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Upload your own dataset, train an ML model, and instantly visualize feature importance & SHAP values. Turns opaque predictions into interpretable, human-readable insights.
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CNN-based system that classifies medical documents including handwritten prescriptions, lab reports, and discharge summaries with heuristic override logic for high-speed inference.
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ESP32-S3 edge node simulation for real-time threat detection. Bridges hardware IoT sensors with a tactical command dashboard for live situational awareness.
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| Domain | Tools & Frameworks | Level |
|---|---|---|
| 📊 Machine Learning | Scikit-learn, XGBoost, LightGBM | ████████░░ Proficient |
| 🔮 Time Series | Prophet, SARIMA, LSTM | ███████░░░ Intermediate |
| 🔍 Explainable AI | SHAP, LIME, Feature Importance | ████████░░ Proficient |
| 👁️ Computer Vision | OpenCV, TensorFlow, CNNs | ███████░░░ Intermediate |
| 📈 Data Analytics | Pandas, NumPy, Matplotlib, Plotly | █████████░ Advanced |
| 🚀 ML Deployment | Streamlit, FastAPI, Vercel | ████████░░ Proficient |
Languages
AI / ML / Data Science
Web & Backend
