My name is Mariam Walaa, I am an aspiring data scientist with a passion for solving real-world problems using machine learning and data-driven insights. My areas of interest are Natural Language Processing, Recommendation Systems, Algorithms, Reproducible Workflows, Predictive Modeling, and Mathematical Optimization. You can learn more about my background on my resume.
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🎓 I am currently pursuing a Master of Science in Applied Mathematics at Toronto Metropolitan University, with a research focus on Pursuit Evasion Games (Graph Theory). My expected graduation date is in 2025.
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🎓 I also hold an Honours Bachelor of Science in Mathematics, with minors in Statistics & Geographic Information Science, from the University of Toronto, which I completed in April 2023.
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🎓 In addition, I previously started a Bachelor of Business Administration (BBA) from the Schulich School of Business at York University, which I exited in 2017.
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💼 I have over 3 years of professional work experience in data science in engineering, retail, and social sciences, contributing to a wide range of projects that have made a significant impact.
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🌐 I am proficient with programming languages including R and PYthon, as well as ArcGIS Products, with strong skills in SQL and Google Cloud Platform.
Here are some of the projects I've worked on:
- Description: Developed a Python function to detect instances of Simpson's Paradox in datasets.
- GitHub Repository: SimpsonsParadox
- Description: Contributed to a learning toolkit for undergraduate students in statistical sciences at the University of Toronto.
- GitHub Repository: DoSStoolkit
- Description: Developed a recommendation system for arXiv research papers using machine learning techniques.
- GitHub Repository: ArxivRecSys
- Description: Developed a stock portfolio optimization tool with visualization capabilities and risk-return criteria selection.
- GitHub Repository: Stock Portfolio Optimization
- Description: Conducted a machine learning analysis to predict employee turnover in a corporate setting.
- GitHub Repository: EmployeeTurnover-ML
I post tutorial worksheets and slides from my lab sessions.
Feel free to explore these projects by visiting the respective GitHub repositories.
If you have any questions or feedback, please don't hesitate to reach out.
