HackerRank and LeetCode practice
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Updated
Mar 21, 2025 - SQL
HackerRank and LeetCode practice
A full-stack web application that provides searching and recommending for movies and TV series, built with ReactJS, NodeJS, and ExpressJS.
My homework solutions (in SSH/Linux/Bash via TAMU HRPC) of the Ph.D. level Statistics course (STAT 624) in Texas A&M University
A comprehensive relational database design project converting university professors flat data into normalized schema with proper constraints and referential integrity using PostgreSQL.
Data cleaning normalization using SQL
This project is a combination of two project from Trybe on the start of my studies in MySQL queries. There are two databases and a bunch of different queries to practice MySQL queries.
A web-app hosted on AWS using a MySQL back-end database queried using dynamically generated, user-defined, complex SQL queries. Front-end user-interface designed using BootStrap.
This Event Management Software is designed to help employees like Event Managers /Event Organizers, Staff managers, etc in an event planning company to manage their work related to events efficiently.
Projects from DS6001, showcasing database management, API data extraction, web scraping, and data analysis. Key assignments include SQL-based database normalization, schema design, API integration, web scraping, and data cleaning using Pandas. The work includes MySQL, PostgreSQL, MongoDB, REST APIs, Docker, and Python data pipelines.
Revision for KCL Database winter exams. Includes SQL queries, database normalisation and data warehouse design.
A group project, where I designed RDBMS aspects such as ER design, database population, DDL, DML, and where I co-developed the Flask app
SQL scripts for commonly needed dimension tables.
Project focused on relational database structuring techniques, such as normalization, utilizing Oracle SQL and a PHP interface
Sample APIs for practice.
This repository contains the design and implementation of the Bring Your Own Device (BYOD) System for managing personal devices at Life Insurance Company. It includes an ERD diagram, MySQL scripts for database creation, data insertion, and queries, as well as detailed data definitions and system requirements documentation.
A comprehensive implementation of the Life Insurance Co. BYOD system. Includes ERD, MySQL scripts for database creation and population, detailed data definitions, normalization documentation, and SQL queries for IT management analytics. Demonstrates best practices in database design and management.
Deliverables relating to the Introduction to Databases and Information Systems University Unit
Minimal command line python program to help you normalise your relational database.
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