mykeshale

Mike Ayoti

Full Stack Engineer | UI/UX Designer | Data Scientist |

59Followers
47Following
86Repos

Fun with AI

Click the button above to generate a fun analysis of your GitHub profile

Contributions (2025)

Total Commits
225
Issues Closed
0
PRs Merged
173

Repository Impact

Total Stars
100
Total Forks
5

Top Languages

Jupyter Notebook49.5%
Python28.2%
TypeScript9.6%
JavaScript7.2%
HTML4.0%

Top Repository

Contribution Graph (2025)

More
Less
Contributions by Month (2025)
Contributions by Day (2025)
Active Days
280days
Longest Streak
76days
Longest Gap
28days
Weekend Activity
70days

Pinned Repositories

Code-Folio

Code Folio is a sleek web app that makes creating developer portfolios fast and easy. Pick templates, customize themes, preview changes in real time, and deploy with one click. Highlight your projects effortlessly with an intuitive, user-friendly interface.

TypeScript
1
0

HealPing

HealPing streamlines healthcare communication with features like appointment booking, real-time notifications, and secure messaging. Built for scalability and ease of use, it connects patients and providers efficiently.

TypeScript
2
0

Tuzotap

Tuzotap is a smart loyalty app that rewards customers for checking in at local businesses. Users earn points, unlock exclusive rewards, and receive updates from their favorite spots. It’s an easy, fun way to support businesses and get rewarded for your loyalty.

TypeScript
1
0

Covid-19-Global-Tracker

The COVID-19 Global Data Tracker is a Python-based project that visualizes and analyzes global COVID-19 data. It uses the Our World in Data (OWID) dataset to provide insights into cases, deaths, vaccinations, and other key metrics.

Jupyter Notebook
2
🍴 3

AirBnB-Price-Prediction

This project analyzes Airbnb Seattle data to identify key price factors (location, bedrooms, bathrooms, amenities) and builds a random forest model to predict prices. After cleaning and EDA, the model achieved 0.90 R² accuracy. Users input features to get price predictions.

Jupyter Notebook
1
0

Machine-Learning-Medal-Prediction

This project predicts the number of medals countries will win at the Summer Olympics using historical athlete data and machine learning. It preprocesses Olympic data, engineers features, and applies regression models to forecast medal counts, enabling data-driven sports analytics.

Jupyter Notebook
1
0
❤️ Support

Created by Amit Wani (X / GitHub)