- Resume
- resume.pdf
- Portals
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Vancouver, British Columbia, Canada -
Saskatoon, Saskatchewan, Canada
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Skills
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Achievements
Recent projects
Awareness Campaign & Speaker Invitation
Ofori Beauty is passionate about promoting safe hair and skin practices to the BIPOC community. We ββwant to increase awareness about the harmful effects of skin bleaching and chemical hair relaxers. We want to work with students to identify potential speakers and sponsors for our awareness campaigns. This will involve several different steps for the students, including: Familiarizing themselves with the social cause, our mission and goals. Identifying groups that our campaigns will target. Identifying potential speakers, sponsors and partners who can support our campaign. Drafting emails to invite speakers. Bonus steps in the process would also include: Assisting in contacting speakers.
Website Development
We would like to work with students to develop a new website that is easy to maintain while providing an appealing interface for users. This can be achieved through common site building tools with HTML and Javascript This will involve several different steps for the students, including: Building a website, with our assistance in providing the content. Providing training on updating and maintaining the website. Bonus steps in the process would also include: Testing prototypes with customers and refining ideas with feedback.
Inbound Marketing Audit
The main goal for the project is to conduct a comprehensive audit of CaffeBerry.co's inbound marketing, including SEO analysis and positioning with respect to competitors. This will involve several different steps for the students, including: - Analyzing the current inbound marketing strategies and tactics employed by CaffeBerry.co. - Conducting a thorough SEO analysis to identify areas for improvement and optimization. - Researching and analyzing the positioning of CaffeBerry.co in comparison to its competitors in the health food and beverage industry. - Developing recommendations for enhancing the inbound marketing strategies and improving the positioning of CaffeBerry.co.
Data Analysis for Health Food Competitive Positioning
The main goal for the project is to conduct a comprehensive analysis of open data from Health Canada to determine the competitive positioning for the launch of CaffeBerry's new health food product. This will involve several different steps for the learners, including: - Gathering and analyzing data on similar health food products in the market. - Conducting a comparative analysis of CaffeBerry's product with existing health food options.
Work experience
Intern
ChmlTech Ltd.
Toronto, Ontario, Canada
November 2024 - December 2024
At ChmlTech Ltd., I worked on building a predictive machine learning model to improve stock price forecasting. I used Facebook Prophet for time-series analysis and combined it with real-time news sentiment so the predictions reflected both historical patterns and current events. A big part of the project was preparing and cleaning the data β engineering features and making sure the inputs were high quality. I collaborated with the team to deploy the model into a working pipeline, so the forecasts were not just theoretical but could actually guide investment decisions with data-backed insights.
Intern
Cofi Life
Toronto, Ontario, Canada
October 2024 - November 2024
At CofiLife, I built a Python-based pipeline that automatically pulled in and combined stock and cryptocurrency data. Once the data was flowing, I applied advanced technical analysis methods like EMA (Exponential Moving Average), RSI (Relative Strength Index), and MACD (Moving Average Convergence Divergence) to spot trading patterns. To make the insights more actionable, I created dynamic charts that updated in real time and set up automated email alerts so signals could be acted on right away. The goal was to give decision-makers clear, data-driven trading insights without having to manually track everything.
Education
Bachelor of Science (B.S.), Computer Science
University of Saskatchewan
January 2022 - April 2026
Personal projects
March Machine Learning Mania (Kaggle)
February 2025 - April 2025
https://www.kaggle.com/competitions/march-machine-learning-mania-2025/leaderboard?search=anmolFor this competition, I designed a forecasting pipeline to predict the outcomes of every possible NCAA basketball matchup. I engineered detailed per-possession stats, rolled season-to-date Elo ratings, and stacked gradient-boosted trees with logistic regression to reduce prediction error. The result was a system that combined statistical rigor with machine learning to generate more reliable bracket forecasts.