Data Engineer & Analyst
I build data pipelines that scale, dashboards that tell stories,
and software that solves real problems.
I'm a Computer Science Honours student at University of Alberta (GPA: 3.7/4.0, Dean's Honour Roll-2 years), graduating December 2026. I thrive at the intersection of data engineering, analytics, and software development.
From delivering excellent customer service at Walmart Canada to designing ML-powered prediction models for F1 race strategy, I love turning messy, complex data into clean, actionable insights through my projects and studies.
When I'm not writing SQL or wrangling DataFrames, you'll find me exploring new tech, building side projects, or deep-diving into motorsport analytics.
B.Sc. Computer Science Honours | GPA: 3.7/4.0
January 2023 – December 2026
Dean's Honour Roll: 2 years
Edmonton, Canada
Data Engineering / Analyst / Software Dev roles
Walmart Canada
University of Alberta
# F1 Race Pace Prediction
import fastf1
import xgboost as xgb
# Load 5 seasons of telemetry
sessions = load_data("2019-2024")
features = engineer_features(
tire_deg, fuel_load, track_temp,
sector_times, weather_data
)
model = xgb.XGBRegressor()
model.fit(X_train, y_train)
# R² = 0.91 | MAE = 0.38s
pit_strategy = optimize_stops(
model, race_state, "Montreal"
)
# ✓ 2-stop undercut detectedBuilt a machine learning pipeline that analyzes 5 seasons of F1 telemetry data to predict lap times and optimize pit stop strategy in real time. The XGBoost model achieves R² = 0.91 with a mean absolute error of just 0.38 seconds.
Features engineered from tire degradation curves, fuel loads, weather data, and sector performance to simulate full race scenarios and recommend optimal strategy windows.
Designed and built a full-stack Android application that lets users share real-time mood states with nearby friends via GPS-based proximity detection.
Features a Firebase real-time backend, Google Maps integration for location awareness, and a custom mood-ring UI. Built with clean MVVM architecture and reusable Jetpack components.
Engineered a comprehensive automated testing framework that runs API and UI regression suites in CI/CD pipelines. Covers 148 test scenarios with 94% code coverage.
REST API validation with RestAssured, browser-based UI testing with Selenium WebDriver, and full GitHub Actions integration for automated runs on every pull request.
I'm currently looking for full-time opportunities in data engineering, analytics, or software development. Whether you have a role in mind or just want to connect — my inbox is always open.
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