Hello, I'm
Mohamed Fofana,
An undergraduate student majoring in Computer Science with a specialization in Data Science and strong knowledge in web development. Explore my projects, experience, objective, education, awards and recognition, professional development, skills, and abilities below.
Founder Of
FOSA News
Owner Of
FOSA-SHOP
About Me
Objective
I am a motivated final-year computer science student specializing in data science, with additional expertise in web development. Proficient in Python, machine learning, statistical analysis, WordPress, and full stack development.
I’m seeking a 6-month internship (March or April – September 2025) to:
- Gain hands-on industry experience.
- Contribute to impactful projects in data science, web development, or related fields.
- Apply analytical and technical skills to solve real-world problems.
- Enhance professional expertise
Education
Albukhary International University – Malaysia (Nov 2021 – Sept 2025)
• Bachelor’s degree in Computer Science (Oct 2022 – Sept 2025). GPA: 3.70
• Pre-University English Program (Nov 2021 – Sept 2022)
Institut National Des Sciences Appliquées – Mali (Oct 2020 – Sept 2021)
• Incomplete Bachelor Degree in Electrical and Industrial IT engineering.
Memory Private High School – Mali (Oct 2017 – Aug 2020)
• Hight School Diploma, Exact Science.
PROFESSIONAL DEVELOPMENT
SKILLS AND ABILITIES
Programming Languages
Python (Data Science, Machine Learning), R, SQL, Java, C, HTML, CSS.
Web Development
WordPress, Elementor, Gutenberg, WooCommerce.
Software
Jupyter Notebook, Power BI, Microsoft Word and Excel, Figma, Canva, Sublime.
Soft Skills
Communication, Problem-Solving, Team Collaboration, Time Management, Adaptability.
Awards and Recognitions
PROJECTS
Check out my personal projects below, showcasing my work in both web development and data science. Each project highlights my skills in building responsive websites, creating dynamic user experiences, and leveraging data-driven insights through machine learning and analytics.
FOSA News
Developed and launched a website dedicated to helping new graduates find internships, scholarships, conferences, and business opportunities.
FOSA-SHOP
Developed an e-commerce platform in both English and French, showcasing a sample website for selling tracking devices.
Social Business Project
Developed and maintained the project website. Implemented AI-driven features to enhance user experience.
Data Visualization Using Tableau: American Community Survey
Created dynamic data visualizations from the American Community Survey dataset using Tableau.
Designed a bar chart showcasing top areas by population aged 25+ with doctoral degrees.
Developed an interactive map to display median household income across various regions.
Final Year Project: Face Recognition Attendance System
Developed a desktop/web application for automated attendance tracking using face recognition technology. Integrated FaceNet and Mobile FaceNet for facial identification, along with Google ML Kit for real-time face detection. Utilized Redis for fast, efficient database management. The system improves accuracy, prevents fraud, and streamlines attendance processes. Coded in Python.
Diabetes Prediction Using Data Mining Techniques
Developed a logistic regression model to predict diabetes using the Pima Indians Diabetes dataset. The project involved data preprocessing, exploratory data analysis, and model evaluation. Achieved 75.32% accuracy on the test set and 77.22% mean accuracy through cross-validation. Addressed challenges like missing data and outliers, and identified areas for improvement in predicting positive cases.
Customer Segmentation and Spending Analysis Using Machine Learning
Developed and evaluated machine learning models to analyze customer segmentation and spending behavior. Compared the performance of supervised learning models (KNN, SVM, Linear Regression, Decision Tree) using metrics like Mean Squared Error, with Linear Regression achieving the highest accuracy. Applied K-means clustering for unsupervised learning to identify distinct customer segments, optimizing the number of clusters using the Elbow method.
Facial Recognition and Detection: Enhancing Accuracy with Machine Learning
Addressed challenges in facial recognition, including pose variations, lighting, and biases, by employing advanced machine learning techniques like Convolutional Neural Networks (CNNs). Achieved significant improvements in system robustness and ethical considerations through experimental validation and innovative methodologies.
Kayak Usability Testing Project
Conducted usability testing on the Kayak website to evaluate features like flight booking, car rental, and travel restrictions. Used the Useberry tool to design test cases, collect user feedback, and identify areas for improvement. Collaborated with a team to enhance the website’s user experience.
My Experience
Vanilla Law (Singapore)
Web Developer
Contact Me
Location
Alor Setar, Kedah, Malaysia
Contact Information
+60 182942656
academy.fofanamohamed@gmail.com