pranav = {
"name" : "Pranav M",
"role" : "M.Sc. Big Data Analytics β Semester 4",
"university": "St. Joseph's University, Bengaluru",
"location" : "Kerala, India π΄",
"email" : "pranavm3054@gmail.com",
"philosophy": "I write every line of code myself β that's the only way to truly understand it.",
"currently" : "Building AltScore β AI-powered credit scoring for Indian SMEs",
"open_to" : ["ML Engineering roles", "Data Engineering", "Collaborations"],
}Languages & Core
ML & AI
Data Engineering & APIs
Visualization & BI
Tools & Environment
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AI-powered alternative credit scoring system for Indian SMEs β built end-to-end across 9 phases. Stack: XGBoost Β· SMOTE Β· SHAP Β· MLflow Β· FastAPI Β· PostgreSQL 18 Β· Groq (Llama 3.3 70B) Β· Streamlit Β· SQLAlchemy Highlights:
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Power BI dashboard analyzing global supply chain disruptions, logistics performance, and transportation cost patterns using shipment data. Stack: Power BI Β· Power Query Β· SQL Β· DAX Highlights:
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ML-based retail sales forecasting with time-series analysis and feature engineering on Walmart store data. Stack: Python Β· Scikit-learn Β· Pandas Β· Jupyter Highlights:
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Traffic pattern analysis using Jupyter Notebook and Pandas to provide data-driven insights for urban traffic management improvement. Stack: Python Β· Pandas Β· Jupyter Β· Matplotlib Highlights:
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π¨ AltScore v2 β adding real-time scoring API endpoint
π Learning PyTorch for deep learning projects
π Preparing Kaggle competition notebooks
βοΈ Exploring Docker + AWS for MLOps deployment
I'm actively looking for ML Engineering, Data Engineering, and Data Analytics opportunities.
If you're working on something interesting or want to collaborate β reach out!