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.

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.

"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."

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.

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

In this project, a real-world dataset from Zomato, one of the most widely used food ordering platforms, was worked on.

EDA and Prediction of F1 Race WInners

Data analytics projects done at trainity throughout my 8week training

Airbnb price prediction with machine learning models using Amsterdam dataset.

This is a Dataquest project that focuses on creating an efficient workflow

Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.

This project performs a comprehensive analysis of hotel bookings using R, focusing on trends, pricing, customer behavior, and reservation statuses. The analysis includes various visualizations such as line charts, bar charts, pie charts, box plots, sunburst charts, and treemaps to derive key insights from the data.

Projects and case studies from my time studying Data Science with USF

This project analyzes HR data using Tableau to uncover insights that optimize Human Resource operations. By visualizing key metrics such as staffing, salary distribution, gender balance, and performance trends, the dashboard supports data-driven decisions in areas like employee retention, salary management, and workforce diversity.

This project is an EDA endeavor that delves into the world of Google Play Store data. This project uncovers valuable trends, patterns, and statistics within the Play Store ecosystem. From app categories and user reviews to pricing and app sizes, the project offers a comprehensive analysis of this dynamic and ever-expanding marketplace.

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