Data-driven analysis of wedding vendor pricing and customer satisfaction, with database design, SQL optimization, and cost breakdown generation.

Data analysis and visualization of Airbnb listings using text mining frameworks, Tableau dashboards, and MongoDB to uncover business insights for optimizing strategies.

This project investigates the impact of video content on social media engagement using advanced analytics techniques like PCA, k-means clustering, and logistic regression. It provides actionable in…

Data-driven analysis to predict birthweight, leveraging computational analytics and machine learning techniques to identify critical factors, evaluate correlations, and implement actionable public …

Comprehensive analysis of the Movies dataset, exploring genre trends, comparisons, and qualitative insights using Python, Pandas, and visualizations. Designed to uncover actionable findings for sta…

A Python-based Dynamic Email Generator designed to automate and personalize email creation for marketing, outreach, and professional communication. This project demonstrates the integration of data…

Data-driven analysis inspired by the Moneyball approach, identifying affordable replacements for key Oakland A's players using R and sabermetrics to support cost-effective recruitment.

Analysis of life expectancy and fertility rate by region for World Bank using R and visualizations

Data-driven analysis of the Ames Housing Dataset, combining advanced feature engineering and Stochastic Gradient Descent (SGD) regression model tuning. This repository showcases predictive modeling…

Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.

Data analysis and object detection to assess Hurricane Maria's impact using NDVI analysis and YOLO modeling for disaster relief planning.

Market and consumer analysis for positioning a new Philips product in a competitive landscape. Includes competitor analysis, survey insights, and strategic recommendations based on data-driven find…

Predictive analysis of employee salary determinants for an anonymized dataset, highlighting key factors influencing salary and providing insights for salary policy improvements.

Predictive model to forecast daily bike rental demand in Chicago, developed using machine learning techniques on historical data to support data-driven city planning and optimize bike-sharing servi…

Predictive optimization model designed to improve logistics efficiency for Lavazza by identifying cost-effective warehouse locations and distribution strategies, ultimately saving 15% on transporta…

Predicting customer churn using a binary classification model based on the Bank Churn dataset. This project involves handling missing data, training a model on key customer metrics, and assessing m…

Data Storyboarding and Visualization Techniques for Effective Communication

A text-based adventure game project using Python fundamentals