Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.

Welcome to my data science repository! Here you will find a collection of resources and examples for exploring, analyzing, and manipulating data using Python. The repository includes code templates, case studies, and exercises to help you learn and practice data science concepts and techniques. The topics covered include data exploration, data visu

This is an AI model for predicting laptop price, trained on about 1200 data.

Leveraging advanced data cleaning techniques and feature engineering, a robust food delivery prediction model was developed using regression algorithms.

📊 An analysis of voting patterns in São Paulo's 2024 elections, focusing on voter behavior, absenteeism, and geographic trends.

A repository where I keep all of my data cleaning samples/portfolio items.

A project analyzing the Indian startup ecosystem between 2018 and 2021.

The Ethiopian Medical Business Data Warehouse & Analytics Platform is a comprehensive data solution tailored to enhance the efficiency and efficacy of Ethiopia's healthcare and medical sectors.

CleanEasy is a powerful, user-friendly Python library designed to simplify data cleaning and preprocessing for data scientists and analysts

Power Outage Data Analysis in USA

Global Superstore BI Dashboard

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features

"Predicting a Greener Future 🌾📊 Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."

EDA and Prediction of F1 Race WInners

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

A Python library and its cli for converting grabcraft to schema (more specifically litematica schematic) files

Scripts for cleaning, converting, and managing image datasets for ML training. (Zsh/Python)

This project involves analyzing real-world medical appointment data through Time Series Analysis. The tasks include dataset cleaning, comprehensive analysis, and extracting insights using Python and MySQL.

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

Tableau dashboard development from TSQL EDA scripts in order to help clients understand about the context of UK road accident in 2021 and 2022 to minimize the loss of lives.