Skip to content
View tobiakoko's full-sized avatar

Block or report tobiakoko

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
tobiakoko/README.md

Welcome! πŸ‘‹ I'm Daniel Akoko

Full-Stack Software Engineer | AI Enthusiast | Technical Problem Solver

Typing SVG


πŸš€ About Me

I'm a Full-Stack Software Engineer and a problem solver with a passion for opportunities that challenge me to design and execute efficient and innivative solutions. Currently, I'm working on projects that combine my passion and technical skills with real-world impact.


πŸ› οΈ Languages & Tools

django react typescript nodejs mongodb java python postgresql tailwind nextjs express


πŸ“Š GitHub Stats

GitHub stats GitHub Streak

Top Languages


🌐 Connect with Me

daniel-akoko GitHub


πŸ”₯ Featured Projects

🌟 ARKO RentSmart: Rent Prediction Platform
A full-stack solution for predicting rent prices using Kaggle housing data. Features include a Flask-based backend for seamless API management, a responsive React frontend for user interaction, and machine learning models to generate accurate rent estimates. Designed to handle diverse property data while delivering real-time price predictions.

πŸš€ WGUPS Route Optimization Engine
WGUPS Package Delivery System: A Python-based solution for optimizing daily local deliveries. Features include route optimization using a self-adjusting Nearest Neighbour Algorithm, custom Hash Table for efficient package management, and real-time delivery tracking. Designed to handle 40+ packages across multiple cities while minimizing total travel distance.


"Solving problems with code, one solution at a time." ✨

Pinned Loading

  1. ARKO-RentSmart ARKO-RentSmart Public

    Full-stack machine learning application predicting rent prices using housing data from Kaggle. Integrated Flask API for backend, with a responsive Tailwind frontend.

    Jupyter Notebook

  2. WGUPS-Route-Optimization-Engine WGUPS-Route-Optimization-Engine Public

    WGUPS Package Delivery System: A Python-based solution for optimizing daily local deliveries. Features include route optimization using a self-adjusting algorithm, custom hash table for efficient p…

    Python

  3. SchedulePro-Scheduling_Application SchedulePro-Scheduling_Application Public

    SchedulePro: A Java-based Full Stack desktop application for efficient global appointment management. Streamline scheduling, and manage customer records

    Java

  4. Ames-EDA Ames-EDA Public

    Machine learning project focused on predicting housing prices in Ames, Iowa, using a dataset containing 2930 observations and 80 features

    Jupyter Notebook