An analysis of the Home advantage in NBA games

A program to analyze crime and sports data in Philadelphia to determine if a correlation exists between whether a Philly team's win/loss to a given team has an effect on the city's violent crime rate. Conclusion--> If the Flyer's lose to the Redwings, stay out of Center City.

This project shows best practices for optimizing memory in Syncfusion JavaScript Pivot Table using virtual scrolling, paging, disposal, and server-side processing.

A modern, flexible and scalable Geographic Information System (GIS) designed for creating and editing geographic data, developed for seamless integration into web applications.

Efficient Serving of Large-scale Vector Search with Sharded Indexes

A professional, web-based application designed specifically for handling and analyzing large CSV and text files that are too massive for conventional spreadsheet software. Built with Python and Flask, it provides a robust, browser-based interface for searching, previewing, and exporting data from files that can exceed several gigabytes in size.

Financial dataset flat file reconstruction, applying data structuring, ETL, and SQL RDBMS best practices.

This project used SparkSQL and PySpark to analyze home sales data, optimizing performance with caching and partitioning by build date.

This repository contain the sample that proves that the Syncfusion Pivot table is capable of loading and displaying a million records instantly and perform scrolling without any performance lag.