LURWANU RABIU

Federal College of Education, Zaria

Dabai, Danja Local Government, Katsina State, Nigeria.

About

Ambitious and results-driven university student with a strong foundation in

Projects

Personal Portfolio Website

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Summary

Developed a responsive personal portfolio website to showcase academic projects, skills, and professional experience.

Predictive Analytics Model for E-commerce

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Summary

Designed and implemented a machine learning model to predict customer churn for an e-commerce dataset as part of a university project.

Multiplayer Tic-Tac-Toe Game

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Summary

Developed a real-time multiplayer Tic-Tac-Toe game using Python with a Flask backend and WebSocket communication.

Education

Stanford University

Stanford, CA, United States of America
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Bachelor of Science Computer Science & Data Analytics Grade: 3.9/4.0

Courses

CS106B: Programming Abstractions

CS107: Computer Organization and Systems

CS109: Introduction to Probability for Computer Scientists

CS221: Artificial Intelligence: Principles and Techniques

STAT110: Introduction to Statistical Methods

CME193: Introduction to Scientific Computing

Volunteer

Project Volunteer

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Code for Good

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Contributed to a non-profit initiative developing open-source software solutions for community challenges.

Highlights

Collaborated with a team of 5 developers to build a web-based volunteer management system, improving event coordination efficiency by 20%.

Implemented front-end features using React.js and integrated RESTful APIs, enhancing user experience and responsiveness.

Participated in agile development cycles, including sprint planning, daily stand-ups, and code reviews, ensuring timely project delivery.

Awards

Dean's List with Distinction

Stanford University

Recognized for outstanding academic achievement, maintaining a GPA of 3.9 or higher during the academic year.

Languages

English

Spanish

Certificates

Google Data Analytics Professional Certificate

Coursera

Skills

Programming Languages

Python, Java, C++, JavaScript, SQL, R.

Web Technologies

React.js, Node.js, HTML, CSS, RESTful APIs.

Data Analysis & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Tableau, Excel.

Tools & Platforms

Git, GitHub, VS Code, Jupyter Notebook, Docker, AWS (EC2, S3 basics).

Operating Systems

Linux, Windows, macOS.

Soft Skills

Problem-Solving, Teamwork, Communication, Adaptability, Critical Thinking, Project Management.

Interests

Technology

Artificial Intelligence, Machine Learning, Web Development, Data Science, Open Source.

Extracurriculars

University Hackathon Club (Member), Data Science Student Association (Treasurer), Intramural Soccer.