records in automation pipelines
HELLO, WORLD — I'M
Data / Analytics / Systems
I connect messy data and real-world questions to useful solutions — work that spans data analysis, data engineering, and systems design. From SQL pipelines and operational dashboards to statistical models and connected systems, I build tools that help people understand what’s happening and decide what comes next.
$ current_focus
$ status
shipping ideas → systems_
client deployments supported
concurrent hardware interfaces
NBA seasons modeled
EXPERIENCE
Experience that connects data to decisions.
A path through systems, data, and the decisions they support. Flip through each role to explore the work behind it.
D&V Electronics
Software Developer
Engineering .NET API integrations and SQL data pipelines for the JBT-1 product line, with Power BI dashboards that turn operational data into test-performance and efficiency insights. Building a full-stack EV Charger Management System with hardware integrations, MQTT/OCPP communication, and RFID/NFC authentication.
Kinsman & Company
Co-Founder & Chief Technology Officer
Leading technology strategy and digital infrastructure for consulting and investment operations supporting $5.4M+ in assets under management, while overseeing the team's IT systems across offices in Wyoming, New York, and Toronto. Advising clients on AI adoption, automation, and architecture, and leading a team of student developers building the corporate consulting platform.
D&V Electronics
Software Development Intern
Enhanced the HiPot/HyAmp application with interactive UI features and real-time monitoring. Built a Zoho REST API ingestion service with payload validation and SQL synchronization, and developed a Power BI dashboard translating JBT-1 production data into KPIs for engineering leads.
TELUS
Technology Specialist Intern
Provided technical support for wireless technologies, assisting with device connectivity, troubleshooting, and technology-related issues while gaining hands-on experience with telecommunications systems.
The Data Science & Statistics Society
Vice President Communications
Led communications and digital marketing initiatives for DS3, using social media analytics and content strategy to increase engagement while coordinating campaigns, events, and cross-functional projects across the organization.
Learn more about DS3 ↗Peel Muslim Community Centre
Full Stack Developer
Developed a full-stack league management platform using React and Flask, building player and team pages, schedules, and administrative functionality to streamline management of community sports programs.
D&V Electronics
Information Technology Specialist
Provided end-to-end IT support across workstations, networks, hardware, and enterprise systems, including Windows deployment, LAN/WLAN troubleshooting, hardware repair, printers, VoIP, and security tools. Automated support processes with PowerShell and deployed 100+ Windows 10/11 system images.
PROJECTS
Projects with real depth.
From raw data to usable insights: forecasting, statistical analysis, and Excel automation. Explore the methods, the models, and the tools built around them.
NBA Player Analytics & 2026–27 Prediction Engine
End-to-end player forecasting platform trained on ten NBA seasons. Builds player-level features, backtests multiple models, forecasts six stat categories, and exposes interactive analytics through Streamlit.
Ontario GAINS Statistical Analysis
Reproducible statistical analysis of Ontario senior-income benefit schedules using inference, regression, bootstrap resampling, cross-validation, and target-leakage review.
READ REPORT · PDF ↗
Instacart VBA Analytics
An Excel dashboard exploring 50,000 historical grocery orders: shopping patterns, popular products, and reorders. VBA buttons refresh KPIs, filter products, and export the overview as a PDF.
VIEW DASHBOARD · PDF ↗
LIVE / GITHUB
Explore the repository.
Search my public GitHub projects by name, language, or topic.
BEHIND THE CODELoading public repositories…
PLAYGROUND
A little data.
A lot to explore.
Get hands-on with the analysis. Change an input, test an assumption, and see how the model responds.
INTERACTIVE DEMO / FIFA 22 SCOUT LAB
What makes a great player?
Explore 180 FIFA 22 players. Can one attribute explain their overall rating? Fit a model, compare players, and try a what-if.
Historical game ratings · curated sample · goalkeepers excluded
Data: Stefano Leone / FIFA 22 ↗● Training players○ Unseen players— Model
How does the demo work?
The model predicts overall from one attribute, using actual FIFA 22 ratings. Outlined players are held out of training. R² measures explained variation (1 is perfect; negative is worse than predicting the average). RMSE is error in rating points. Every curve is constrained to only rise, so a better attribute never lowers the estimate. A flexible curve can still overfit. The what-if is a model estimate, not EA’s rating formula or a causal prediction. The 180-player sample mixes top-rated players with a random selection.
CAPABILITIES
From source data to solutions.
01
Data Engineering & Integration
API ingestion, SQL synchronization, payload validation, and automated workflows that connect operational data across applications.
02
Analytics & Data Science
Operational KPIs, dashboards, statistical inference, and predictive models that turn data into clear, testable insights.
03
Systems & Solution Design
Understanding how people, software, and devices work together; designing integrations and tools that improve day-to-day operations.
EDUCATION
Curiosity, backed by statistics.
I love applying statistical models to real life: finding patterns, testing assumptions, and understanding what the data can tell us. My interests sit at the intersection of data science, machine learning, and analytics engineering.
University of Toronto
Honours Bachelor of Science
St. Roch Catholic Secondary School
Ontario Secondary School Diploma · Brampton, Ontario
CERTIFICATIONS
Always learning.
DeepLearning.AI · Stanford Online
Machine Learning Specialization Certificate
Supervised and unsupervised learning, neural networks, recommender systems, and reinforcement learning.
Course certificate: Unsupervised Learning, Recommenders, Reinforcement Learning · August 2026
View course certificate ↗Google Data Analytics Professional Certificate
● In progress
Cleaning, analyzing, and visualizing data, then communicating findings through dashboards and presentations.
Microsoft
Microsoft IT Support Specialist Professional Certificate
IT troubleshooting across hardware, software, networking, and security, with cloud computing and data backup fundamentals.
Course certificate: Introduction to Computers · September 2025
View course certificate ↗OFF THE CLOCK
There’s more outside the dataset.
New places and everyday moments. A few of the things that keep me curious beyond the screen.
FIELD NOTES / TRAVEL
Always up for a new perspective.
I love travelling and discovering different places. Here’s a little explorer of where I’ve been.
Drag to spin · select a place to fly there. Map: Natural Earth ↗
England
A chapter from my travels.
51.50° N / 0.12° W● VISITEDCONTACT
Have a hard problem?
That sounds interesting.
Let’s talk about making data useful: clearer reporting, reliable pipelines, better models, and systems that solve real operational problems.