Mohammed Mirzan
University Undergraduate
About me
I'm a Computer Engineering student passionate about data and its power to solve real-world problems. I specialize in building clean data pipelines, applying machine learning to extract insights, and presenting findings through compelling dashboards. With hands-on experience in SQL, Python, Power BI, Tableau, and machine learning frameworks, I’ve completed various end-to-end projects in analytics and predictive modeling.
Projects
1. Product Recommender System using AWS
Tools: Amazon RDS, AWS Glue, S3, Glue Crawler, Vector DB, Python
Built a batch-based recommender system by ingesting data from RDS to S3 via Glue ETL; generated personalized recommendations using stored ML artifacts and vector similarity.
🔗 Architecture
2. Healthcare Analysis Dashboard
Tools: Power BI, Excel
Developed an interactive dashboard to uncover patient trends, treatment costs, and KPIs for hospital performance analysis.
🔗 Github Repo
3. Car Price Prediction
Tools: Python, Scikit-learn, Pandas, Seaborn
Applied regression models on car dataset to predict resale prices; Linear Regression achieved the highest R² after evaluation.
🔗 GitHub Repo
4. Pizza Sales Analysis
Tools: MySQL, Power BI
Analyzed sales data to identify top-selling pizzas, peak hours, and customer preferences; built a Power BI dashboard for insights.
🔗GitHub Repo
Skills
- Programming Languages: Python, SQL, MATLAB, C++
- Tools and Libraries: Pandas, Matplotlib, Numpy, Seaborn, Power BI, Tableau, Microsoft Excel, Jupyter Notebook, PyCharm, DAX
- Domains: Data visualization, machine learning, data analysis, business intelligence
Certifications
- Machine Learning Specialization
- Introduction to Data Engineering Certification
- Microsoft PL-300 Exam Preparation and Practice
Memberships and Leadership
- AI Research and Development: Data Science Head, showcasing leadership in AI-driven initiatives.
- Aspire Leaders Alumni: Reflects commitment to leadership and professional development.
- Taxilians Robotics and Automation Club: Machine Learning Co-Head, leading machine learning projects.
- Media Club, University of Engineering and Technology, Taxila: Member, indicating well-rounded involvement.