Associate Product Manager Toronto, Canada
FactSet Canada Inc. Mar 2021 – Jul 2023
◦ Pioneered the development of innovative product ideas for Core Financial Applications, concurrently driving the creation
of a comprehensive end-to-end Portfolio Life Cycle solution tailored for buy-side clients across 3 platforms: desktop, web,
and mobile applications.
◦ Enhanced user workflows to ensure intuitive experiences and reduced support burden by 20% through an in-depth
analysis of Salesforce customer cases.
◦ Engage in cross-functional collaboration with global teams to achieve product excellence and meet demanding deadlines.
◦ Monitor the product’s performance after launch, gather user feedback, track KPIs, and make data-driven decisions to
improve the product.
◦ Boosted new feature deployment efficiency by 50% by optimizing release cycles and implementing automated QA tests.
◦ Leveraged APIs to enable communication between different applications to enhance user engagement and increase time
spent by users in applications by 25%.
◦ Initiated APAC support team to effectively increase the scope of client query assistance from 9 hours to 20 hours.

Analytics Product Specialist Toronto, Canada
FactSet Canada Inc. Apr 2019 – Feb 2021
◦ Expertly handled challenging client accounts. Set up their data and established processes for their workflow.
◦ Optimized background process duration for a demanding client from 6 hours to 90 minutes.
◦ 1st specialist to implement biweekly checkpoints with product development teams, facilitating precise client feedback and
progress assessments.
◦ Act as a bullpen resource for Generalist Sales, Specialty Sales, and Client Consulting to address time-sensitive and/or
complex analytical needs decreasing turnaround time.

Sr. Product Specialist/ Product Specialist Hyderabad, India
FactSet India Pvt. Ltd. Jun 2015 – Mar 2019
◦ 1st person to be hired for the Fixed Income/Analytics Product Development team in India and later hired, peer coached
and mentored a team of 35 members.
◦ Used SQL to create nightly reports that detected irregularities within mortgage analytics and yield curves, addressing
concerns prior to the trading hours in the US market by checking 5 highly used databases.
◦ Performed prebuild testing for bugs and enhancements, ensuring that best practice testing procedures are followed.

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