Learn
Build
Simplify
About
I love making the most out of data.
As a Data Scientist, I've spent the past 2 years solving complex business problems and building AI products at Johnson & Johnson (Kenvue) and multiple SaaS startups. Currently, I'm working as a Data Scientist Intern with TD Bank's Media and Marketing Analytics team for Summer 2025.
I am in my senior year at the University of Manitoba pursuing a Bachelor's degree in Statistics with minors in Computer Science and Management. Beyond my formal education, I have completed Data Science and Machine Learning coursework from Stanford, Duke, Google, IBM and more.
Experience
TD Bank
Pairenthesis
J&J (Kenvue)
GiftMeThat
Media and Marketing Analytics team
Led development of AI data analytics platform, landing demos with top YC start-ups and leading Toronto universities
Built ML model that improved supply chain accuracy core metric by 18% and analyzed data, with insights presented to 1,400+ professionals
Developed a product recommendation engine with features extracted from unstructured data, improving experience of 500+ users daily
Data Scientist Intern
Data Scientist Intern
Data Scientist Intern
Data Scientist Intern
Education
University of Manitoba
Bachelor's of Science in Statistics
Minors in Computer Science and Management
Relevant Coursework
Statistical Inference
Stanford University
Machine Learning Specialization
Duke University
Managing ML Projects and Data Visualization
ML, Analytics and Data Engineering
IBM
Data Science and ML
Stochastic Processes
Experimental Design
Calculus III
Probability II
Linear Algebra
Object Oriented Programming
Data Structures and Algorithms
University of Michigan
Network Analysis
and Database Design
DeepLearning.AI
ML in Production and Deep Leaning
Projects
UFC ML Betting Algorithm 🥊
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Built ETL pipeline that scrapes data from 5 sources, performs cleaning and feature engineering
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Trained an ensemble of ML models, achieving 83% accuracy and 88% F1 score for a low-risk tolerance setting
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Collaborated with and received mentorship from a Director of Data Science at Mastercard
LeetTutor 🎓
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Co-developed an AI-driven studying platform with a fellow student
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Engineered Flask API, driving core AI and data management functionalities like file preprocessing, summarization, storage, quiz generation, and instant assessment
PicoGPT 🤖
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Developed and trained a tiny version of GPT from scratch using PyTorch
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Implemented inference features, mirroring ChatGPT functionality
AI Artist 🎵
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Designed and trained a Deep Learning model to generate musical compositions
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Leveraged 111 instruments, enabling creation of diverse compositions across multiple genres
Recipe Generator 🍳
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Developed a platform to generate fast and healthy recipes based on ingredients and time constraints
LearnDataScience Bot 🧑🏻🏫
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Crafted a free learning resource for aspiring Data Scientists, by scraping and analyzing more than 5000 recordings from 9 leading YouTube channels in the industry
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Designed and launched the Telegram Bot with organized content for efficient acquisition of essential Data Science skills
Skills
Technical
Languages: Python, SQL, R, Java, C++
Data Manipulation: NumPy, Pandas, Apache Spark (PySpark, SparkSQL), PostgreSQL, MySQL
ML and Stats: Scikit-Learn, LightGBM, SciPy, PyTorch, TensorFlow, Keras, NetworkX, NLTK, spaCy
Analytics and Infra: Matplotlib, Seaborn, Power BI, Tableau, Databricks, GCP, Azure AI, FastAPI, Git, GitHub
Soft
Clear communication of complex concepts, stakeholder collaboration, natural curiosity, product ownership, problem-solving mindset, detail-oriented approach, effective team collaboration, business acumen
