Jaden Noronha
Data Science | Analytics | Process Improvement
Hi! I'm a Mathematical Optimization graduate from the University of Waterloo with a track record of applying math and data science to real business problems — across fintech, CPG, supply chain, and beyond.
Beyond the technical work, I've been developing skills in Six Sigma process improvement, sustainability, and project management.
Work Experience
Data Analyst (Part Time)
Supported reporting initiatives within the Canada Risk Office.
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- Developed an operational risk management dashboard in QuickSight for over 200+ associates across the company, enabling business teams to track daily changes in their risk portfolio.
Data Scientist Intern
Pioneered Capital One Canada's first centralized Risk Insights reporting suite and enabled product teams to identify and monitor over 1 million prospective accounts.
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- Pioneered Capital One Canada's first centralized Risk Insights reporting suite, integrating cross-functional data on issues, events, and controls into a quarterly report for 4+ business groups using SQL and Google Sheets.
- Enabled product teams to identify and monitor over 1 million prospective accounts across two applications by developing a segmentation model and driver tables in Snowflake.
- Engineered a weekly email report highlighting enrollment trends for 10+ managers using SQLAlchemy and Pandas.
- Automated the weekly ingestion of 2+ million customer records into driver tables with Shell scripts and GitHub.
- Improved reporting reliability for 15+ business teams by resolving data refresh issues using Apps Script and Looker.
Data Scientist Intern
Helped CPG clients optimize trade spend by identifying opportunities in distribution, pricing, and promotional strategies.
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- Developed targeted recommendations on the distribution, pricing and promotional strategies for a billion-dollar CPG manufacturer by calculating discontinuation probabilities and modelling product mix scenarios using Excel.
- Enhanced reporting capabilities for 10+ clients by developing an algorithm in R that uses localized regression to calculate normalized sales rates based on dynamic pricing tiers.
- Modelled the impact of price on market cannibalization for 20 products using non-linear programming in SciPy.
- Simplified the discovery of sales opportunities for 30+ accounts across the United States with a dynamic Excel report.
Product Control Analyst Intern
Modernized P&L reporting for the RMSG desk through process automation, workflow redesign, and enhanced internal reporting.
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- Saved 15+ hours monthly by automating a profit-and-loss reporting process using Pandas and Xlwings.
- Improved reporting accuracy by developing VBA macros to calculate metrics for 13 vendors, saving 2 hours monthly.
- Optimized loan deferral reporting by over 90% by automating a report with data visualizations using Matplotlib.
- Placed first in a VR innovation challenge by proposing a plan to improve team-building bank-wide to industry leaders.
Loyalty Program Management Analyst Intern
Analyzed offer performance and consumer trends within the Vendor Loyalty team, presenting insights to executives and external vendors.
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- Identified coverage gaps for 8 vendors using Qlikview, presenting new offers that would increase coverage by 20%.
- Streamlined weekly accounting processes by 25% using SQL templates in BigQuery to automate data retrieval.
- Reduced the time taken for a UX quality control process by over 85% using Power Automate and VBA.
Supply Intern
Scaled SuperShop by identifying high-potential products and vendors, and building an automated KPI estimation tool.
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- Enhanced performance forecasting capabilities by developing a KPI estimation tool using Looker and Apps Script.
- Led the transition to a new voucher upload system for 7 vendors by establishing data validation processes.
- Generated leads for over 1000 vendors by scraping contact information using Selenium and Beautiful Soup.
Skills
Languages
- Python — data science, APIs, scraping
- SQL — Snowflake, SQLite, Teradata
- R
- HTML / CSS / Bootstrap
- JavaScript / Google Apps Script
- VBA
Technologies
- Looker / BigQuery / Google Suite
- Tableau
- Excel / Power Automate / Power Query
- Gurobi / OR-Tools
- QGIS / ArcGIS Online
- AWS / QuickSight
Knowledge
- Data Science & Machine Learning
- Process Improvement (Six Sigma)
- Supply Chain
- Project Management
- Probability & Statistics
- Operations Research
Selected Projects
Darwin - The Ultimate UI Analytics Hub
🏆 Most Creative Data Visualization — CXC 2026 AI Hackathon
Built a pipeline that processes website templates into its core elements, then utilizes Gemini to simulate user interactions, providing users with feedback on their website's performance and recommendations for A/B testing.
Automatic music review ETL pipeline
End-to-end AWS pipeline that scrapes Pitchfork reviews via Beautiful Soup, processes them on a CloudWatch schedule with Lambda, stores records in DynamoDB, and delivers a digest email through SES.
LinkedIn Queens solver (MIP)
Formulated LinkedIn's Queens puzzle as a Mixed Integer Program and wrapped it in a Streamlit web app for instant board solving.
Sudoku solver via integer programming
Modelled Sudoku as an integer program using Google OR-Tools, served via a Flask backend with a JavaScript + Bootstrap frontend.
Pufferfish — NLP journaling and habit recommender
🏆 3rd place — Laurier Computing Society Winter 2023 Hackathon
Built the full backend: NLP habit recommendation model, Flask REST API with CRUD + auth, and automated email reminders.
Medical document classifier (XLNet)
🏆 MathSoc Award — CxC Data Hackathon 2023
Fine-tuned HuggingFace's XLNet transformer to classify medical documents by type for the Intact challenge at CxC Data Hackathon 2023.