About

Applied data scientist grounded in practical delivery

I am a Bachelor of Science in Data Science candidate at Simon Fraser University focused on statistical learning, machine learning, data mining, and systems design. My experience spans building end‑to‑end ML projects (NBA matchup prediction, grocery pricing trends) and managing enterprise device imaging for provincial employment services at WorkSafeBC (Microserve).

Whether I am optimizing ETL pipelines, building Power BI dashboards, or shipping secure workstation images, I prioritize reliability, documentation, and clear communication so partners can adopt solutions with confidence.

Skills

Technical toolkit

Languages

Python, C/C++, SQL (Postgres), SQLite, JavaScript, HTML/CSS, R, Excel

Frameworks & Libraries

PyTorch, pandas, NumPy, Matplotlib, scikit-learn, TensorFlow

Data Engineering

Flask, FastAPI, PostgreSQL, SQL Server, ETL automation

Analytics & BI

Power BI, dashboard design, storytelling with data

Systems

Windows Deployment Services, MDT, device imaging, endpoint security

Soft Skills

Stakeholder communication, curriculum design, Leadership, teamwork, Personable, adaptable

Projects

Selected work

Filter by focus area:

NBA Matchup Prediction Engine

This project provides a small Python package for analysing NBA player game logs and building a matchup-level model that estimates the probability of a team winning against a specific opponent. The workflow extracts team strengths from player‑level statistics, trains a logistic regression model, and produces actionable insights about the most important matchup factors.

  • Stack: Python, pandas, scikit‑learn, PyTorch, NBA API, Kaggle, Power BI
  • Year: 2025

View on GitHub

Grocery Pricing Trends Analysis

Led cleaning and preprocessing across datasets; analyzed vendor pricing patterns using correlation and Granger causality; implemented K‑Means to group vendors by pricing behavior; visualized results with Seaborn/Matplotlib; and collaborated on a Random Forest Regressor to predict discounts, tuning hyperparameters and analyzing feature importance.

  • Stack: Python, Apache Spark, pandas, PostgreSQL, Excel, Seaborn, Matplotlib
  • Year: 2024

See related repos

Legend of Zelda: 2D Escape

Applied Scrum methodology and Object‑Oriented Design with UML; wrote unit and integration tests with JUnit and tracked issues in Jira; refactored class hierarchies to resolve code smells and improve maintainability and extensibility.

  • Stack: Java, Maven, JUnit, Jira
  • Year: 2023

View GitHub profile

Experience

Experience

  1. Configuration Technician · WorkSafeBC (Microserve)

    May 2025 — Sept 2025
    • Performed system imaging and configuration of computers for enterprise deployment, ensuring hardware and software consistency across user environments.
    • Utilized SQL Server to query, manage, and troubleshoot device configurations and inventory databases.
    • Collaborated with IT teams to streamline imaging workflows and reduce setup times by ~30%.
    • Designed and maintained Power BI dashboards to visualize system performance, deployment status, and ticket resolution trends (ServiceNow).

  2. Associate Data Scientist in Python · DataCamp

    Dec 2024
    • Built projects using pandas, NumPy, Matplotlib, scikit‑learn, and TensorFlow for data manipulation and modeling.
    • Worked with real‑world datasets on predictive modeling and feature engineering.
    • Demonstrated proficiency in constructing ML pipelines and deploying models for practical applications.

Education

Simon Fraser University

Bachelor of Science, Data Science

Burnaby, BC · Sept 2022 — Fall 2027

Coursework in Statistical Learning, Machine Learning, Database Systems, Data Structures and Algorithms, Data Visualization, Regression Analysis, and Linear Algebra.

Contact

Let's build something together

I am actively seeking data science, machine learning, and analytics opportunities where I can combine technical rigor with clear communication. If you're exploring predictive modeling, dashboarding, or infrastructure support, I'd love to connect.