Data & BI Analyst · Ontario, Canada
Computer Science student specializing in Data Science at Ontario Tech University, graduating December 2026. End-to-end analytics pipelines, ML models, and BI dashboards — targeting Data Analyst, BI Analyst, and RevOps roles from January 2027.
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Portfolio
Each project is a complete system — intake, logic, storage, and visualization — designed around a real business problem in a different industry.
Zero-touch automated intake pipeline with composite lead scoring algorithm and 3-page Power BI executive dashboard featuring real-time SLA breach detection.
View project →K-Means clustering on 8,950 credit card holders producing 4 behavioral segments. Full pipeline from raw CSV through Python, PostgreSQL, and Power BI DirectQuery.
View project →Automated priority-based ticket triage with current/future state process mapping, Make.com routing automation, and Airtable tracking database.
View project →Binary classification model (Random Forest, AUC 0.648) predicting B2B lead conversion at intake. Outputs a ranked probability queue for sales rep prioritization.
View project →Academic Work
Collaborative coursework demonstrating version control, teamwork, and applied CS fundamentals.
Python GUI application for managing and filtering large travel catalogs with secure role-based access. As lead frontend developer, I built the primary interface from scratch (TravelAppGUI.py) and engineered the admin authentication system with hidden feature controls (AdminAuth.py).
Two-part console banking system with a front-end ATM and a back-end overnight batch processor. Handles deposits, withdrawals, and bill payments via text-based transaction streams while enforcing strict business constraints. Built in a 3-person Agile team using pair programming and continuous integration.
Group research project evaluating NLU benchmarks for Cantonese — a low-resource language underrepresented in standard NLP evaluation suites. Involves dataset curation, model evaluation, and comparative analysis across existing benchmarks.
Independent analysis of Toronto Bike Share ridership data to identify usage patterns, peak demand periods, and station-level insights. End-to-end pipeline from raw trip data through cleaning, analysis, and visualization.
Skills
Python (pandas, scikit-learn, matplotlib, seaborn, numpy) · SQL · R (basic) · DAX · Advanced Excel · Google Sheets · Google Analytics
Power BI · Tableau · Dashboard Design · Star Schema · Data Storytelling
PostgreSQL · Supabase · SQLAlchemy · Airtable · Google Sheets as DB
Zapier · Make.com · Salesforce (familiar) · HubSpot (familiar) · Google Forms · Typeform · Notion
K-Means Clustering · Logistic Regression · Random Forest · Feature Engineering · EDA · Cross-validation · A/B Testing
Git · GitHub · Jupyter Notebooks · VS Code · Tkinter · Lucidchart · Figma (basic) · Microsoft Office Suite · Google Workspace
Process Mapping · Current/Future State · Requirements Documentation · Stakeholder Communication · Agile basics · JIRA
Technical report writing · Translating data for non-technical audiences · Presentation skills · Content strategy · Social media analytics
Claude · Claude Code · GitHub Copilot · Gemini · Prompt engineering · AI-assisted development workflows
Recommendation
I had the pleasure of working with Tara on a project for our company, and I was thoroughly impressed by Tara's dedication, creativity, and professionalism. Throughout the project, Tara demonstrated strong problem-solving skills, a keen attention to detail, and the ability to adapt to new challenges with ease. Tara's contributions were instrumental in developing a client assessment, with automations that trigger results and email follow up, including a client workbook. Tara's ability to collaborate with the team made a significant impact. Tara consistently delivered high-quality work, met deadlines, and showed a proactive approach in finding innovative solutions. Beyond her technical and design skills, Tara was an excellent communicator and a reliable team player. Her enthusiasm and ability to adapt were evident in every task she undertook. I have no doubt that she will bring the same level of dedication and excellence to any future endeavors. She would be a valuable asset to any team.
About
Final-year CS student at Ontario Tech University specializing in Data Science. My portfolio spans B2B SaaS, financial services, and customer operations — built to show that the tools and methodology transfer across industries.
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