I build analytics and machine learning solutions that help organizations make better business decisions.

With 15+ years of business experience across Corporate Sales, Business Development, Operations, and Stakeholder Management, I combine domain expertise with modern analytics to solve real-world business problems.

Business Experience + Analytics + Machine Learning = Better Decisions

• 🤖 Predictive Machine Learning Models
• 📊 Business Intelligence Dashboards
• 📈 Customer & Business Analytics
• 🎯 Recommendation Systems
• 📉 Forecasting & Classification Models
• 🧠 Explainable AI (SHAP)
• ⚙️ End-to-End Data Science Solutions

• Power BI
• SQL
• Excel
• Dashboard Design
• Data Visualization

• Python
• Pandas
• Polars
• NumPy

• Scikit-learn
• LightGBM
• XGBoost
• Optuna
• SHAP
• Feature Engineering
• Cross Validation
• Predictive Modeling

• Streamlit
• Flask
• Git
• GitHub

Production-ready machine learning solution for predicting loan default risk using LightGBM, feature engineering, cross-validation, and Explainable AI (SHAP).

Highlights

• End-to-End Machine Learning Pipeline
• Production-quality Notebook
• Feature Engineering
• Explainable AI (SHAP)
• Cross Validation
• ROC-AUC: 0.8245
• Business-focused Insights & Recommendations

Tech Stack

Python LightGBM Polars SHAP Optuna Scikit-learn

🔗 Repository

https://github.com/aniruddhapal/Loan-Default-Prediction-Production-version

Interactive Power BI dashboard built using Telangana Government open data to evaluate regional growth and sector-wise development.

Business Value

• District Growth Analysis
• Sector Comparison
• Regional Development Insights
• Executive Dashboard

Tech Stack

Power BI Excel Data Visualization

🔗 Repository

https://github.com/aniruddhapal/Telangana-State-Growth-Sector-Analysis-Dashboard

Interactive analytics dashboard developed to monitor academic performance and identify students requiring early intervention.

Business Value

• Performance Tracking
• KPI Monitoring
• Student Segmentation
• Educational Analytics

🔗 Repository

https://github.com/aniruddhapal/student-performance-analytics-dashboard

Content-based recommendation engine using Natural Language Processing and cosine similarity.

Highlights

• Recommendation Engine
• NLP
• Streamlit Deployment
• End-to-End ML Workflow

🔗 Repository

(https://github.com/aniruddhapal/movies-recommender-system)

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• MLOps
• MLflow
• FastAPI
• Docker
• Production Machine Learning Systems

I'm interested in opportunities involving:

• Business Analytics
• Data Analytics
• Business Intelligence
• Machine Learning
• Predictive Analytics
• Customer Analytics
• Credit Risk Analytics
• Recommendation Systems
• AI-powered Business Solutions

Every repository is built with a strong focus on solving business problems through analytics and machine learning.

Projects typically include:

• ✅ Business Problem Definition
• ✅ Data Cleaning & Feature Engineering
• ✅ Exploratory Data Analysis
• ✅ Machine Learning Modeling
• ✅ Explainable AI (SHAP)
• ✅ Business Insights & Recommendations
• ✅ Professional Documentation

💼 LinkedIn

(https://www.linkedin.com/in/an1ruddhapal/)

📧 Email

(aniruddhapal@gmail.com)

🌐 GitHub

https://github.com/aniruddhapal

"The most valuable machine learning models aren't the most complex—they're the ones that help businesses make better decisions."