NLP-based analysis of Super Bowl commercials using YouTube comments to study the relationship between viewer sentiment, emotional response, and Ad Meter performance.

Automated policy document collection using Selenium and developed an AI-powered RAG pipeline (LangChain + Llama2) to structure 100+ university policy PDFs for compliance Q&A.

Machine learning and analytics project comparing AWS and Azure for cloud cost optimization using regression models, random forest, and NLP-based text analysis.

Predictive modeling project using Titanic data to design risk-based insurance pricing strategies based on survival probability.

Predictive modeling project to identify high-risk mortgage loans using decision trees and random forests, improving loan purchasing decisions and reducing delinquency risk.

Business analytics project analyzing Net Promoter Score (NPS) impact on profitability and recommending strategies to improve customer satisfaction and revenue.

Statistical analysis of IPL datasets using R and Python to identify player performance patterns, fit probability distributions, and examine the relationship between performance and salary.

Applied multiple linear regression and regression diagnostics on NSSO consumption data and IPL performance data to analyze prediction accuracy, model assumptions, and the relationship between playe…

Statistical modeling project applying logistic regression, decision trees, and probit analysis on healthcare and consumption datasets to study prediction and behavioral patterns.

Applied multivariate statistical analysis using PCA, Factor Analysis, Cluster Analysis, and Multidimensional Scaling on real-world consumer datasets to uncover patterns, segmentation, and relations…

Healthcare analytics project applying conjoint analysis, market basket analysis (Apriori), and portfolio optimization to derive insights on patient preferences and investment decisions.

District-level consumption analysis using NSSO data with statistical preprocessing, visualization, and geospatial mapping of consumption patterns across Punjab.

Applied econometric analysis of financial markets using GARCH, VAR, and VECM to model volatility, interdependencies, and long-run equilibrium across oil prices, exchange rates, and stock indices.

Time series forecasting project using ARIMA and Holt-Winters models to analyze and predict gold price trends with data preprocessing, decomposition, and model validation.

Exploratory data analysis of Airbnb listings in NYC to uncover pricing patterns, demand drivers, and neighborhood-level insights using Python and data visualization.

SQL-based data modeling project demonstrating relational database design and analytical queries for managing and analyzing parking lot operations.