Projects

Financial Document Intelligence System

Capgemini

RAG-based intelligence system for Master Facility Agreements and Sanction Letters

2x2 VectorDB architecture, Text-to-SQL hybrid reasoning, agentic orchestration

AI-Powered Product Accelerator

Capgemini

Multi-agent system for pricing intelligence, competitor benchmarking, and AI-generated marketing content

Multimodal Price Discovery Agent

Launchpad.ai / Fellowship.ai

Agent using Gemini Pro Vision achieving 97% accuracy for price discovery across 100K+ SKUs

Fallback logic (VectorDB → SerpAPI), 50% reduction in manual lookup

XAI for Malware Prediction

Master's Dissertation

ML model on Microsoft Malware dataset (8.9M devices) with GDPR-compatible explainability

66.7% accuracy, 50% memory optimization, regulatory-aligned XAI

Automated PDF Classification App

NLP & XGBoost-based Streamlit app to classify electrical product PDFs

Census Income Data Clustering

K-Means + PCA for customer segmentation and targeted marketing

Lyrics Generation using LSTM

LSTM-based RNN to generate song lyrics from seed text

Sentiment Analysis & Detection

NLP pipeline classifying IMDb movie reviews as positive/negative using Bag of Words and TF-IDF feature extraction

89.9% accuracy with Logistic Regression and Naive Bayes

Fashion MNIST Classification

Deep neural network classifying clothing images into 10 categories on the Fashion MNIST dataset

Lending Club Loan Prediction

Neural network model to predict loan repayment status using Lending Club data

Mercedes-Benz Greener Manufacturing

Regression model with PCA dimensionality reduction to optimize manufacturing test bench speed

MovieLens Rating Prediction

Movie rating prediction using logistic regression, decision trees, and random forests on the MovieLens dataset

Scikit-learn Open-Source Contributions

Added documentation examples for f_regression() and silhouette_score()