🎓 B.Tech CSE (Artificial Intelligence) — KIET Group of Institutions (2027)
📊 Aspiring Data Analyst / Data Scientist
📍 India

I build data-driven solutions using machine learning, analytics, and business intelligence to solve real-world business problems.

• B.Tech CSE (AI) student at KIET Group of Institutions
• Interested in Data Analytics, Machine Learning, and Finance Analytics
• Passionate about solving business problems using data
• Currently building projects in credit risk modeling and customer analytics

A bank-style credit risk model that predicts borrower Probability of Default (PD) and converts it into a credit score used for loan approval decisions.

Key Features

• Logistic Regression PD Model
• Feature Engineering & Calibration
• Credit Scorecard Generation
• IFRS-9 Expected Credit Loss Estimation
• Streamlit Risk Dashboard

Tech Stack

Python • Scikit-Learn • SHAP • Streamlit • Power BI

🔗 Live Demo
https://credit-risk-scorecard.streamlit.app

🔗 Repository
https://github.com/ParasJain03/Credit-Risk-Scorecard

End-to-end customer churn analytics project using SQL, Power BI, and machine learning.

Pipeline

CSV → SQL Server ETL → Data Cleaning → Power BI Dashboard → Random Forest Prediction

Business Insights

• Identifies high-risk churn segments
• Analyzes churn by demographics and services
• Predicts future churners using ML models

Tools Used

SQL Server • Power BI • Python • Scikit-Learn

Python
SQL

Pandas
NumPy

Power BI
Matplotlib
Seaborn

Logistic Regression
Random Forest
Model Evaluation

Git
GitHub
Jupyter Notebook
Google Colab

• Advanced Data Analytics
• Financial Risk Modeling
• Feature Engineering for Machine Learning
• Business Intelligence Dashboards

⭐ If you find my projects interesting, feel free to star the repositories.