Hello, I'm
Mohamed Fofana,
About Me
I am a Computer Science graduate with a specialization in Data Science and hands-on experience building end-to-end digital solutions that improve business efficiency. During my recent role, I worked as an RPA Developer and IT Business Analyst, where I designed and implemented integrated business solutions, data-driven dashboards, and intelligent workflows using Microsoft Power Platform tools such as Power Apps, Power Automate, Power BI, SharePoint, Power Pages, and Copilot Studio. I also have experience in web development and cloud technologies such as Microsoft Azure and Microsoft 365 allowing me to bridge the gap between complex automation systems and user-friendly software. I am passionate about using technology to solve real-world business problems and continuously improving my skills in modern cloud-based business solutions.
Objective
- Design and implement end-to-end digital business solutions to optimize organizational workflows.
- Apply my experience with Power Apps, Power Automate, Power BI, SharePoint, and Copilot Studio in real-world corporate environments.
- Contribute to high-impact projects in digital transformation, advanced data analytics, and cloud technologies.
- Continuously develop my expertise across the Power Platform ecosystem, robotic process automation (RPA), and modern DevOps cloud practices.
Education
Albukhary International University – Malaysia (Nov 2021 – Nov 2025)
• Bachelor’s degree in Computer Science (Oct 2022 – Nov 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 Industrial IT engineering.
Memory Private High School – Mali (Oct 2017 – Aug 2020)
• Hight School Diploma, Exact Science.
PROFESSIONAL DEVELOPMENT
SKILLS AND ABILITIES
Power Platform Ecosystem
- Power Apps (Canvas Apps, Model-Driven Apps, Power Pages)
- Power Automate (Cloud Flows, Desktop Flows / RPA, Scheduled Flows)
- Power BI (Data Visualization, KPI Dashboarding, Data Modeling)
- Copilot Studio (Intelligent Chatbot & AI Agent Development)
- Dataverse & SharePoint (Custom Lists, Advanced Database Architecture, Cloud Integration)
- Microsoft Forms & Teams (Process Orchestration & Interactive Automation)
Cloud & DevOps Engineering
- Microsoft Azure (Cloud Deployments, Cloud Infrastructure Management)
- Microsoft 365 (Enterprise Administration, Tenant Automation)
- Azure DevOps (Sprint Boards, CI/CD Pipeline Integrations)
- Postman (API Testing, REST Endpoint Integrations)
Programming Languages
- Python (Automation Scripts, Data Handling, Pandas/NumPy Libraries)
- SQL (Database Management, Advanced Queries, Data Extraction)
- Web Languages (HTML5, CSS3, JavaScript, Core PHP)
- Node.js (Backend Development)
AI & Automation Tools
- Power Automate: Core engine for orchestrating end-to-end cloud and desktop workflows.
- Azure AI Services: Cognitive automation and intelligent document processing.
- Generative AI: ChatGPT, Claude, and Gemini integrations to process unstructured text.
Business Analysis & Process Optimization
- RPA Engineering (Task Automation, Desktop Scripting, Scheduling)
- IT Business Analysis (Requirement Gathering, Process Mapping)
- Workflow Automation Design (End-to-End Business Architecture)
- Data & Process Insights (Translating raw data into Business Analytics)
Web Development
- WordPress (Design, SEO, Optimization, Deployment), WooCommerce & Plugin Integration
- Theme Customization & Page Builders (Elementor and Gutenberg)
- Hostinger (web hosting)
Soft Skills
- Communication (English & French),
- Problem-Solving,
- Team Collaboration,
- Time Management,
- Adaptability
Honors, Awards and Certifications
PROJECTS
Explore my projects in Microsoft Power Platform, Data Analytics, Cloud tools, Web Development and Data Science solutions using modern technologies to solve real business problems, automate manual work and improve efficiency.
Power Automate Projects
1. Automated Financial Data Extraction & Reporting Power Platform
This project showcases a real-world automation solution developed during my internship to optimize a time-consuming financial process. Previously, the finance team manually logged into an internal portal to extract customer and sales data, including names, ID, Email phone numbers, and addresses, and then entered the information into Excel.
This process was performed weekly and could take up to 2–3 days to complete. Using Microsoft Power Platform (Power Automate), I designed and implemented an automated workflow that retrieves the required data directly from the system and structures it into a ready-to-use format.
This solution reduced processing time from several days to approximately 1–2 hours, significantly improving efficiency, reducing manual errors, and allowing the finance team to focus on higher-value tasks. This project demonstrates my ability to identify automation opportunities and deliver practical, high-impact business solutions.
2. Automated Invoice Generation & Scheduled Delivery
This project demonstrates an end-to-end automation solution developed to streamline the generation and delivery of weekly and monthly invoices.
Previously, invoice processing required manual data extraction, preparation, and sending, which was time-consuming and prone to delays.
Using Microsoft Power Platform, I designed and implemented an automated workflow that integrates data from SQL databases, processes it, and generates invoices efficiently. The system uses Power Automate for workflow orchestration and scheduling, ensuring invoices are automatically sent at predefined intervals.
SharePoint list was utilized to manage structured data and support workflow operations, enabling a centralized and organized approach to invoice handling.
This automation significantly improved reliability, ensured timely delivery, reduced manual effort, and minimized the risk of human error in financial operations.
This project highlights my ability to build scalable automation solutions by integrating multiple technologies, including Power Automate, SharePoint, and SQL, to solve real-world business challenges.
Power BI Projects
Global Data Jobs Market Intelligence Dashboard
This project is a comprehensive business intelligence solution developed using Power BI to analyze and visualize trends within the global data jobs market. The analysis is based on a large dataset of data-related job postings containing information about job titles, salaries, locations, work arrangements, qualification requirements, employment types, and skill demands.
The objective of the project was to transform raw job posting data into actionable business insights that can help job seekers, recruiters, training providers, and organizations better understand the evolving landscape of data careers.
The dashboard suite explores multiple dimensions of the data job market through interactive visualizations and KPI-driven reporting. Key areas of analysis include job demand across different data professions, salary benchmarking, geographic distribution of opportunities, qualification requirements, workforce composition, remote work adoption, employment type distribution, and market trends over time.
Several analytical dashboard pages were developed to answer important business questions such as:
- Which data professions offer the highest compensation?
- Which data roles are most in demand?
- How does salary vary across countries and job categories?
- What percentage of employers require a university degree?
- How common are remote work opportunities?
- How has job demand changed throughout the year?
- What are the dominant employment types in the data industry?
- How do hourly and yearly salaries relate to one another?
The project combines multiple visualization techniques including:
- KPI Cards
- Clustered Bar Charts
- Clustered Column Charts
- Stacked Charts
- 100% Stacked Charts
- Line Charts
- Area Charts
- Scatter Plots
- Treemaps
- Pie Charts
- Donut Charts
- Geographic Maps
web development projects
FOSAHealth
I’m the project leader of FOSAHealth, a platform that helps people find and connect with trusted doctors nearby.
FOSA News
Developed and launched a website dedicated to helping new graduates find internships, scholarships, conferences, and business opportunities.
Tour Listing Website
Created a dynamic tour listing platform that allows users to explore, compare, and book travel experiences based on location, price, and category.
AIU Corporate Communication Website
Built an official website for my university’s Corporate Communication department to showcase news, media, and institutional updates.
FOSATrack
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 SCIENCE PROJECTS
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
SENANGNvs (Malaysia)
RPA Developer & IT Business Analyst
- Designed and implemented automated workflows using Power Automate, reducing manual work in invoicing and quotation
processes. - Automated monthly invoicing and accounting tasks, improving efficiency and accuracy.
- Integrated Azure DevOps with Power Automate to create automated task reminders and workflow tracking.
- Built an internal chatbot using Copilot Studio for knowledge sharing and Q&A (Internal use).
- Developed and managed SharePoint-based solutions for data organization and workflow automation.
Supported business analysis activities including process documentation and optimization recommendations. - Collaborated with technical and non-technical teams to improve operational workflows
Vanilla Law (Singapore)
Web Developer
- Redesigned and optimized website layouts by creating new templates and fixing bugs to improve stability and user experience.
- Implemented multilingual support to enhance accessibility and expand audience reach.
Contact Me
Location
Old Klang Road, 58000 Kuala Lumpur, Malaysia.
Contact Information
+60 182942656
academy.fofanamohamed@gmail.com