This exploratory data analysis (EDA) project focuses on examining sugarcane production data. Through this analysis, we seek to gain valuable insights into factors influencing sugarcane production, develop predictive models for future yields, and ultimately support efforts to optimize production efficiency and sustainability.

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

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

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

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

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

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

Power Outage Data Analysis in USA

Global Superstore BI Dashboard

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.

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

Comprehensive object detection using YOLOv5, trained from scratch. Includes data preparation, YOLOv5 training on 20 labels, and testing on images/videos. Utilizes Google Colab's V100 GPU for robust detection.

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

This project analyses transportation data from the Bureau of Transportation Statistics (BTS) to uncover insights into cross-border freight's efficiency, safety and environmental impacts across road, rail, air and water modes.

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

EDA and Prediction of F1 Race WInners

"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."

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.