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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: Tableau, Power BI, Jira, Confluence, Microsoft Office (Excel, Word, PowerPoint, Visio)

About the job
Our team is better known as the Deviation Detectives!!

An opportunity to get your hands dirty with data across the Bing Ads stack for a curious, technical, agile, and driven individual who enjoys solving puzzles.  Our team monitors Bing Ads performance worldwide and investigates any deviation/anomaly to get to the root cause quickly.  Leverage your technical muscles and join our close-knit team who works closely with teams across Ads, Bing, Edge, Windows to solve these deviation mysteries.  These openings don’t stay vacant long so act fast to be considered for this exciting role.

Make tomorrow better. That is the essence of roles within our Bing Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We build on what’s come before to create what’s next. We drive intelligence machines. We help shape the future. We empower billions of people around the globe.  Bing is now a sustainable multi-billion-dollar business for Microsoft. Come work for the Bing Ads team that is the economic engine for Bing and Microsoft!

We are inviting you to join the Bing Ads Live Marketplace and Forensics team. We are looking for a Data Analyst to join our Vancouver, Canada team. We are a team of program managers/data scientists/data analysts with a “Live Site First” mindset who are passionate about monitoring and protecting the health of the Bing Ads marketplace ecosystem. We consume huge amounts of data spanning advertisers, publishers, system components and users to connect the dots across seemingly unrelated anomalies for identifying and resolving issues impacting the marketplace. We have round the clock monitoring hundreds of business and component metrics across several markets globally. We proactively analyze and investigate any marketplace anomaly using various data analysis techniques, drive issue resolution coordinating with various teams across time zones and perform the necessary follow ups for future prevention of issues. Microsoft’s CEO Satya Nadella has dedicated a paragraph about this culture in his “Hit Refresh” book (page 61). Our team can proudly claim as being pioneers in this culture.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

In the role of a Data Analyst in this team, you will perform the following functions:

  You will run data analyses on various marketplace health metrics by deriving insights into marketplace investigations. 
 You will be technically savvy to pull data from multiple data sources and connect the dots to draw insights from the data. 
 You will drive continuous improvements to our current monitoring and investigation toolkits. 
 You will drive mitigation to marketplace live site issues by collaborating with different engineering and business teams as needed to bring the issue to a closure. 
 You will drive extensive root cause analyses and follow-ups for preventing future issues. 
 You will be part of an on-call rotation (once every 8-10 weeks) where you will be the person on point to respond to issues as they arise.

The entire Bing Search landscape is your playground. To succeed, you should have an insatiable curiosity to learn – Learn about the business, technology, and analyses/techniques. You will enjoy and be very successful in this role if you have a service and business operations mindset, a passion for problem solving through data analyses, have been a developer and have a good understanding of how complex platforms work. You will need above average communication skills – both verbal and written – to be able to drive action across teams.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
2+ years working in web analytics, big data, data science, preferably with paid search technologies.
1+ years experience with data analytics tools like R, Python, Excel, Tableau, SAS. 
Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

Masters Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 1+ year(s) experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
Data Analytics IC3 - The typical base pay range for this role across Canada is CAD $66,500 - CAD $128,300 per year.