InsightForge – Data Workspace
An interactive data workspace that helps users upload, explore, analyze, and understand datasets through a modern data-science-focused interface.
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Practical projects where data, machine learning, AI, and software engineering come together to solve meaningful problems.
Paras Arts – Digital Art Portfolio & Custom Sketch Ordering System
A full-stack digital art portfolio and custom sketch ordering platform built to showcase artwork, accept custom sketch orders, and manage orders and content through an admin dashboard.
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Paras Arts AI Data Agent
An AI-powered data agent that enables natural-language analysis of Paras Arts business data stored in MongoDB through a controlled tool-based architecture.
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AI-Powered Autonomous Debt-Management & Collections Strategy
Developed an ML-powered Agentic AI collections strategy for Geldium Finance to predict delinquency risks, improve debt recovery, and enable proactive decision-making. Integrated predictive modeling, SHAP-based explainability, autonomous AI workflows, and responsible AI guardrails to ensure fair and efficient financial risk management.
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British Airways – Customer Booking Prediction & Analytics
Predictive Modeling: Developed a Random Forest classifier using scikit-learn to predict flight booking completions (booking_complete) across 50,000 customer sessions. Feature Engineering: Extracted high-value commercial indicators including lead-time dynamics, route frequency encoding, and ancillary bundling behavior. Stakeholder Deliverables: Translated model feature importances into strategic recommendations and an executive slide deck to optimize direct booking conversions.
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PowerCo Customer Churn Analysis – BCG X Data Science
Completed the BCG X Data Science Virtual Experience project focused on customer churn analysis for PowerCo. Performed exploratory data analysis, data processing, feature engineering, and predictive modeling using Python. Developed a Random Forest classification model to identify key factors associated with customer churn and analyzed feature importance and model performance to derive data-driven business insights.
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