Please write an elevator pitch based off my resume for a career fair I’m attending today. My resume: EDUCATION
University of Toronto | Honours Bachelor of Science in Statistics and Economics • Coursework: Machine Learning, Data Analysis, Survival Analysis
EXPERIENCE
June 2024
Royal Ontario Museum | ERP Analyst Intern July 2024 – August 2024
• Assisted with ERP data migration from Sage 300 to Microsoft Dynamics, meticulously planned the migration
of over 50,000 records, ensuring zero data loss and alignment with the museum's strategic goals
• Increased eﬃciency in review and checking processes by 75% through developing a Python program to
automate the extraction and summary of data from multiple PDF files
CIBC | Business Systems Analyst Intern January 2023 – April 2023
• Conducted comprehensive data analysis on over 10,000 data records using MS Excel, ensuring 99%
accuracy during a critical data migration, which supported data-driven decision-making
• Coordinated project timelines for two high-impact, multi-million-dollar product initiatives, ensured on-time
delivery by proactively mitigating risks and collaborating with stakeholders, achieving key milestones
• Developed a SharePoint site to optimize training processes and streamline application management,
improving product enhancement visibility by 25% and reducing new employee onboarding time by 50%
Appnovation, Tech Consulting | Go-To-Market Coordinator August 2022 – December 2022
• Spearheaded the development of 10+ winning sales proposals in Salesforce, driving a 30% increase in sales,
establishing a reputation for compelling, on-brand client submissions
• Conducted in-depth market research on cutting-edge technology and delivered data-driven insights that
boosted sales team engagement by 30% and supported the acquisition of a high-value client
• Maintained on-time and on-budget delivery of 4 client projects while ensuring seamless client collaboration by
managing projects in Jira and applying agile methodologies
UofT University Advancement | Data Analyst May 2022 – August 2022
• Architected a Python program that automated data quality checks, reducing donor record errors by 99% and
cutting processing time by 75%
• Leveraged SQL and Power BI to analyze donor data, developed targeted fundraising strategies that increased
campaign eﬀectiveness by 20% and boosted donor engagement by 15%
UofT Innovation Hub | Design Researcher September 2021 – March 2022
• Developed student-centered solutions by conducting 4 comprehensive interviews, utilized data coding,
tagging techniques, and Design Thinking principles to identify key pain points and propose actionable
recommendations to improve student experience
PROJECTS
Obesity Prevalence Data Analysis | R
• Analyzed a CDC public health dataset of over 400,000 records using R, identifying key lifestyle factors
influencing obesity prevalence across demographics, providing actionable insights for health initiatives
• Developed and validated a high-performing statistical model for obesity prevalence, employing advanced
statistical techniques and created impactful visualizations for a comprehensive report to diverse stakeholders
Apple Wallet Student Card | Swift
• Designed and implemented a digital student ID solution for Apple Wallet using Swift and Apple PassKit
SKILLS
• Languages: Python, R, SQL, Swift
• Tools: Microsoft Oﬃce (Excel, Word, PowerPoint, Visio), Tableau, Power BI, Jira, Confluence