Featured Projects

Kerala Healthcare Resource Optimization

Built a predictive machine learning framework to forecast district-level healthcare infrastructure stress and integrated Linear Programming to minimize unmet demand under surge conditions.

Python Scikit-learn Ridge Regression PuLP Optimization

Best Model: Ridge Regression

Performance: 87% R² Score

Key Insight: Infrastructure instability beyond 1.6x demand surge

Social Media Sentiment Intelligence: Feminism Discourse Analysis

Built an end-to-end NLP pipeline to analyze public sentiment and thematic trends in feminism-related Twitter discourse, integrating topic modeling and ARIMA-based sentiment forecasting.

Python NLP VADER LDA ARIMA Time-Series

Sentiment Classes: Positive, Neutral, Negative

Modeling: LDA Topic Modeling + ARIMA Forecasting

Insight: Long-term sentiment fluctuations with identifiable thematic polarity patterns

Earth Under Pressure — Climate Systems & Human Impact Analysis

Designed a multi-layered Power BI dashboard integrating global temperature trends, disaster frequency, ENSO cycles, emissions data, and heat stress indicators to analyze interconnected climate dynamics and human impact.

Power BI DAX Power Query Data Modeling Climate Analytics

Scope: 1900–2021 disaster & temperature trends

Integration: Multi-dataset regional & global climate modeling

Insight: Rising temperature correlates with disaster frequency & heat stress escalation

Energy-Aware ADHD Task Prediction & Recommendation System

Developed an AI-driven adaptive task scheduling system that predicts task completion probability using Random Forest and optimizes scheduling actions through Reinforcement Learning (Q-Learning) to support energy-aware productivity patterns.

Python Random Forest Reinforcement Learning Q-Learning Streamlit

Model: Random Forest Completion Predictor

Optimization: Q-Learning Adaptive Policy

Design: Context-aware behavioral decision framework

Boeing vs Airbus — Statistical Aviation Safety Analysis

Conducted a hypothesis-driven comparative analysis of aviation incident data, applying trend evaluation, severity assessment, and statistical testing (Chi-Square & Poisson models) to move beyond media narratives toward data-backed safety insights.

Python Pandas SciPy Chi-Square Test Poisson Modeling

Analysis: Trend & Severity Distribution Modeling

Statistical Tests: Chi-Square Independence Test

Modeling: Poisson Event Frequency Analysis

AI Resume Reviewer & Skill Gap Analyzer

Built and deployed an AI-powered resume evaluation system that extracts skills from resumes and job descriptions, computes match scores, identifies missing competencies, and generates improvement suggestions using NLP-based text processing.

Python NLP Scikit-learn Streamlit Cloud Deployment

Functionality: Resume–JD Matching & Skill Gap Detection

Deployment: Streamlit Community Cloud

Architecture: Modular evaluation & suggestion engine

AI Learning & Interview Assistant (GenAI System)

Developed a Generative AI-powered system that creates structured learning roadmaps and role-based interview questions using prompt engineering, LLM inference, and structured JSON extraction for reliable formatted output.

Python LLM / Transformers Prompt Engineering JSON Parsing Streamlit

Architecture: Modular Prompt → Model → JSON Extraction Pipeline

Functionality: Role-based Learning & Interview Question Generation

Deployment: Streamlit Cloud

Explore More Projects on GitHub

Discover additional experiments, analytics dashboards, AI prototypes, and data science explorations beyond the featured projects.

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