Featured Projects

A showcase of Real-world projects in data analytics, SQL, and Python - from payment fraud detection and customer churn modeling to workforce trend analysis.

Data Analytics & Visualization

Projects demonstrating data-driven insights and interactive visualizations

Banking Customer Risk & Transaction Analysis

March 2026

Cleaned and analyzed large, noisy transaction data to identify fraud patterns using EDA and feature engineering. Built a risk scoring model and Power BI dashboard to detect high-risk transactions and support faster decision-making.

18% of customers drove 62% of $8.97bn transaction value
Fraud in TRANSFER (0.94%) and CASH_OUT (0.33%); zero in other 3 types
High-value transactions had 18% higher fraud probability (0.20% vs 0.17%)
MySQL Python (Pandas) Excel Power BI Data & Business Analytics
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Customer Churn Analysis - Spotify

April 2026

Performed SQL-based churn analysis on Spotify user data to identify behavioral patterns and key risk factors. Built a rule-based user segmentation model and designed targeted retention strategies to reduce churn.

High Risk: 492 users (28.46%), Medium: 2,106 (26.54%), Low: 5,402 (25.40%)
Identified high-risk users with 28.46% churn rate
Analyzed Student + Mobile highest churn at 29.92%
MySQL Python (Pandas) Excel Data & Business Analytics
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Layoff Trends & Workforce Analysis

Nov 2025

Analyzed 3,642 raw real-world dataset to extract business insights, performing comprehensive data cleaning, standardizing fields, and applying advanced SQL techniques like CTEs and Window Functions.

US: 256,559 layoffs; Post-IPO stage: 204,132; peak year 2022 at 160,661
Removed 1,647 records (45%) with missing layoff count and percentage
MySQL Python (Pandas) Data Analysis Advanced SQL
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AI & Machine Learning

Advanced projects showcasing expertise in computer vision, NLP, multi-agent systems, and medical AI

Multi-AI-Agent Medical Diagnosis

Developed a sophisticated multi-agent system using TensorFlow and PyTorch, featuring specialized AI agents (Cardiologist, Psychologist, Pulmonologist) that collaborate to provide comprehensive medical diagnoses from patient reports.

Multi-threaded agent processing
LLM integration with GPT-4 agents
Deployed on HuggingFace Spaces
TensorFlow PyTorch Multi-Agent Systems Medical AI HuggingFace
Live Demo →
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Real-Time Traffic Signal Recognition

Built a YOLOv8 model in PyTorch to detect traffic signals in real-time, achieving an outstanding 97% mAP on the test dataset.

97% mAP accuracy on test dataset
Real-time processing with OpenCV
Comprehensive data augmentation pipeline
PyTorch YOLOv8 OpenCV Computer Vision
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Pneumonia Detection System by X-Ray

Advanced medical imaging AI system for pneumonia detection in chest X-rays with 96.4% sensitivity and 86% cross-operator validation accuracy. Features real-time analysis and clinical-grade reporting.

96.4% sensitivity for pneumonia detection
Cross-operator validated on 485 samples
DICOM support & PDF reports
Deep Learning Medical Imaging CNN HuggingFace Computer Vision
Live Demo →
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Instagram Sentiment Analysis

Engineered an NLP pipeline to classify comment sentiment, achieving 54% accuracy on a complex, nuanced dataset with 150+ emotion labels.

54% accuracy on complex dataset
Label standardization for 150+ emotions
86% recall for positive/negative sentiments
NLTK VADER NLP Sentiment Analysis
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Mental Health Predictive Analysis

Oct 2025

Built a logistic regression model (71% accuracy) to predict if a tech employee would seek mental health treatment. Visualized insights with Power BI.

71% prediction accuracy
Interactive Power BI dashboard
Identified key predictive factors
Scikit-learn Power BI Logistic Regression Data Visualization
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Innovative Platforms

Creative digital solutions combining storytelling, cultural heritage, and emerging technologies

Darshana - Digital Storytelling Platform

Concept Phase

My innovative startup concept: A comprehensive digital platform that connects users to their cultural heritage through immersive storytelling, featuring AI-powered content curation, virtual reality experiences, and interactive cultural exploration.

Core Features

Narad AI - Intelligent story curator
360° Virtual monument visits
AR/VR cultural immersion

Content Sections

Interactive story collections
Historical monument database
Folk tales & cultural narratives

Future Roadmap

Ticket booking integration
Virtual guide assistance services
AI/ML AR/VR 360° Technology Digital Platform Cultural Heritage Startup Concept
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