🕹️ When was the Golden Era of Video Games? Analyzing critic/user scores & sales of 400 top games (1977–2017) with PostgreSQL. Found that 1998–2004—especially 1998—was the peak era for both quality …

🔍 Analyzing mental health survey data from 286 students at a Japanese international university to assess depression risk among international students. Built with PostgreSQL in DataCamp Datalab, exa…

📀 Predicting Movie Rental Durations | Regression project to forecast DVD rental length. Compares Linear, Ridge, Decision Tree & Random Forest models with hyperparameter tuning. Goal: Identify best…

🐧 Clustering Antarctic Penguin Species | An unsupervised machine learning project using K-Means clustering to identify distinct penguin species from physical measurements. Implements the Elbow Meth…

A machine learning project that helps farmers choose the best crop based on soil metrics (N, P, K, pH). This project identifies Potassium (K) as the single most predictive soil feature for crop sel…

DataCamp project: Hypothesis test on FIFA World Cup matches (2002–present) to compare goal totals in men's vs women's soccer. Using a Mann-Whitney U test (p = 0.005), the null hypothesis is rejecte…

Built a simple yet effective predictive model to identify the single most impactful feature for forecasting car insurance claims. Using logistic regression and confusion matrix-based accuracy evalu…

Combine Airbnb data from CSV, Excel, and TSV files to analyze prices, reviews, and room types in NYC’s rental market using pandas.

Prepare customer data for modeling by converting data types, optimizing memory usage, and engineering relevant features using pandas.

Analyze LAPD crime data using pandas. Identify peak crime hours, high-risk locations at night, and age group trends in Los Angeles.

Explore Nobel Prize data from 1901–2023. Includes gender and nationality trends, category patterns, and repeat winners using pandas.

Analyze SAT scores across NYC public high schools using pandas. Includes total score rankings, math score filters, and borough-wise score variability with summary statistics.

Exploratory data analysis of 1990s Netflix movies using Python and pandas. Focused on movie durations, short action films, and genre trends.

Config files for my GitHub profile.

A lightweight Java command-line task manager using JSON for storage—no external libraries required. Supports adding, updating, deleting, and filtering tasks by status.

DAMSO_STREAM is a web application developed as a final-year project for selling digital products. It features role-based access control (admin, employee, client) and is built using Python (Flask) f…

Simple Chat App in Java using Socket Programming and Swing GUI. Great for learning how to build basic networked applications.

A Java-based Android To-Do list app integrating Firebase Authentication, Firestore, and the Gemini AI API to help users organize daily and recurring tasks. Features: RecyclerView • Dialogs • Notifi…

📊 Practice exercises using Python's Pandas library for data manipulation and analysis.

My personal solutions to CS50 problem sets written in various programming languages.