Comprehensive sales performance dashboard featuring KPI tracking and trend analysis, allowing us to identify trends and determine which products are the most profitable.
This project involved a comparative analysis of supervised learning algorithms from the scikit-learn library. I developed a framework to evaluate and contrast the performance of various models, providing insights into their practical application and the critical skill of selecting the most suitable algorithm for a given machine learning task.
Building a modern data warehouse with SQL Server using Medallion Architecture (Bronze, Silver, Gold layers). Includes ETL processes, data modeling, and analytics for customer behavior, product performance, and sales trends.
Exploratory data analysis on bikes market data to uncover trends, patterns, and insights. Analyzing market dynamics, pricing, and customer preferences using data analysis techniques.
An HR management system designed to streamline workforce operations for a retail chain. The system manages the entire employee lifecycle—from records and attendance to evaluations and vacations—across multiple store locations.
Practice files for advanced SQL concepts from the 365DataScience course. Comprehensive exercises covering complex queries, window functions, CTEs, and advanced data manipulation techniques.
Statistical analysis project on Bike Share company data using Python and Pandas in Object-Oriented Programming format. Part of the Data Analysis Nanodegree program from Udacity.
Data analysis performed on a dataset of classified apartments for rent in the USA from various rental listing agency platforms. Insights into rental market trends and patterns.
SQL-based analysis project examining Covid-19 data to extract meaningful insights about the pandemic's impact, trends, and patterns using database queries and data exploration.
Transposition Cipher algorithm implementation that can encrypt and decrypt messages using the transposition cipher—a simple yet effective way of encrypting text that becomes unreadable without the decryption key.
Comprehensive exploratory data analysis of Ford GoBike sharing system data. Uncovering usage patterns, user behaviors, and trends in bike-sharing services through data visualization and statistical analysis.
Data analysis and visualization on IMDB database to answer the most frequently asked questions about movies using Python, Pandas, Matplotlib, Seaborn, NumPy, and Jupyter Notebook.
Interactive game designed to teach investment in stocks in a fun and engaging game environment. Learn stock trading concepts through hands-on gameplay and simulation.
An advanced MySQL project extracting and concatenating website user journeys for paying customers to analyze conversion funnels. Built using CTEs, Window Functions, and GROUP_CONCAT.