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My resume: EDUCATION
University of Toronto | Honours Bachelor of Science in Statistics and Economics                                 June 2024
Coursework: Machine Learning, Data Analysis, Survival Analysis
Experience
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

Job Description:
What to Expect
Tesla is seeking a Data Analyst to serve as the data and reporting champion to serve the needs of the Semi program. You will translate data into useful, easily digestible information that can quickly be translated into action via recommendations you will make. These reports and visuals will be used by many teams and leaders internally to get maximum utilization of the Semi, increase team efficiency, and provide insights to our customers, both internally and externally. 
What You’ll Do
Create compelling, succinct, and clear reports and visualizations to inform stakeholders, leadership, and Semi customers that can turned into action.
Support engineering requests to extract and evaluate data from vehicles to aid in trend analysis, component trials, and service opportunities.
Deliver data insights for charging network planning, customer duty cycles, and industry take rates
Create reporting for data obligations in various grant funded projects
Create automated reports on fleet performance and health
Coordinate with data engineering teams to establish data pipelines and verify data integrity
Write clean, tested code that can be maintained and extended upon by other analysts
Provide information to business development team and collaborate in customer facing materials
Review time-series data from vehicle logs
What You’ll Bring
Degree in Engineering, Mathematics, Computer Science, or equivalent experience
Proficient with Python and SQL
Self-motivated, fast learner capable of first principle thinking in an ever-changing data landscape
Experience with data visualization tools such as Tableau, PowerBI
Experience with time-series data, such as CAN, is preferred
Demonstrated ability to provide insights and conclusions from large, dense datasets
Detail-oriented with excellent organizational skills