I am data scientist with a passion for solving real-world problems using machine learning and data-driven insights, contributing to a range of projects that have made a significant impact. I have over 6 years of experience leading end-to-end data science projects and building production-ready predictive models in technology/software, retail, and CPG. Details are in my resume.
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🎓 I hold Master of Science in Applied Mathematics from Toronto Metropolitan University, with my thesis focus at the intersection of Network Science and Machine Learning.
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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 departed in 2017.
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🌐 I am an Expert in Python (pandas, NumPy, scikit-learn, matplotlib) for data science and machine learning, and Intermediate in SQL (able to manipulate and analyze complex, large-scale datasets).
Here are some of the projects I've worked on:
- Developed a Python function to detect instances of Simpson's Paradox in datasets. Git
- Contributed to a learning toolkit for undergraduate students in statistical sciences at the University of Toronto. Repo
- Developed a RAG chatbot that answers questions about my resume & Git portfolio using OpenAI's GPT, FAISS, and Streamlit UI. Repo
- Developed a recommendation system for arXiv research papers using NLP. Repo
- Developed a stock portfolio optimization tool with visualization capabilities and risk-return criteria selection. Repo
I used to post worksheets and slides from my tutorials/labs.
If you're interested in my portfolio, please reach out at [email protected].