Data Research Analyst
Treasury Board Secretariat | Jan 2025 – Present
Tools: Python Scripting, Numpy, Mathplotlib, PowerBI, Microsoft Office Suite
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Automated CSV data preparation using Python scripts with
Numpy and Matplotlib, integrating 10-year spending records
into Power BI dashboards to support data visualization.
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Developed and optimized 4+ interactive Power BI dashboards, leveraging
advanced DAX calculations and data modeling to enhance data visualization
and support decision-making, reducing analysis time by 30%.
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Automated monthly reporting processes with Power BI, improving data accuracy
and saving 10+ hours per month, while handling datasets exceeding 100,000 records efficiently.
Prompt Engineer
Outlier AI | Jan 2025 – Present
Skills: Code Reviews, AI training
- Enhancing LLMs through code reviews and analyzing response data.
- Developing coding problems and solutions to improve performance.
DRP - Data Analysis
UWaterloo Women in Math (WiM) | Dec 2024 – Present
Tools: R
- Pre-processed and analyzed over 500,000 rows of hotel operational data in R, utilizing tidyverse and dplyr to extract insights into customer behavior and operational trends.
- Developed and optimized machine learning models (e.g., k-means clustering, random forests, and linear regression), achieving an 85% accuracy in forecasting revenue and identifying customer segments for targeted marketing strategies.
- Designed and delivered 5+ interactive dashboards using SAS and R Shiny, enabling stakeholders to monitor key metrics like occupancy rates, customer satisfaction scores, and revenue growth in real time.
Executive
GeeseHacks | Nov 2024 – Present
Skills: Leadership, Event Planning, Screening Candidates
- Helped to plan and execute GeeseHacks 2025, a Business - Tech hackathon in Canada,
ensuring a seamless experience for over 300 participants.
- Screened hackathon applications to select qualified participants,
ensuring a diverse and skilled cohort for the event.
- Contributed to developing the case for the hackathon by designing a compelling challenge to address real-world problems.
Student Ambassador
The Mathematics Society of the University of Waterloo | Jan 2023 – Present
Skills: Communication, Community Outreach, Mentoring
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Engaged prospective students and families through faculty tours, events, and personalized outreach, fostering a welcoming environment.
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Developed communication and mentorship skills by guiding high school students on academic and extracurricular opportunities.
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Collaborated with faculty and peers to deliver outreach programs and promote the Faculty through social media and events.
Software Engineer Intern
Reality AI Lab | Aug 2024 – Dec 2024
Tools: React, Node js, Firebase, OpenAI API
- Analyzed and automated user interaction data by developing chatbot applications using React.js, Node.js, and Firebase, improving real-time communication and customer engagement metrics.
- Integrated OpenAI’s GPT-3.5 API to analyze and enhance chatbot performance, showcasing proficiency in leveraging advanced technologies for data-driven decision-making and workflow optimization.
- Collaborated with cross-functional teams to gather and interpret business and technical requirements, ensuring that chatbot solutions aligned with organizational objectives and improved data insights across departments.
Inside Sales Student
HubHead | Jan 2024 – Apr 2024
Skills: B2B, International Sales, Sales Prospecting
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Leveraged LinkedIn, Sales Navigator, and HubSpot to identify and convert leads, securing 5 long-term clients in the Oil & Gas and Utilities sectors.
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Managed the full sales cycle, from prospecting to contract closure, while ensuring seamless coordination between clients and internal teams during the software development and implementation phases.
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Organized 15+ meetings with C-level executives across Europe, contributing to global market expansion by aligning software solutions with client needs throughout the project life cycle.
Strategic Team Leader
Deloitte STEM Summit | Jun 2023
Skills: Strategic Planning, Machine Learning, Leadership
- Developed a machine learning blueprint using Python and PyTorch that projected to increase an automotive client’s production efficiency by 30%, targeting key bottlenecks and reducing manual interventions by 20%.
- Utilized SQL to analyze data and generate insights, which helped in streamlining processes and improving overall productivity by 30%.
- Presented findings to senior Deloitte leaders, showcasing potential cost reductions and operational efficiencies, demonstrating effective communication and teamwork across departments, achieving a final score of 8/10.
