hardi jainHJ
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hardi jain

@hardijain

Product Manager with 5 years of experience and a solid educational background in CA & MBA.

India
Message

★Product Management: Problem Solving, Product Roadmapping,
★Business Analyst: Requirement Gathering & Analysis,Use Cases, Process-Flow diagram,
★Product Design: Wire-framing,Prototyping: Tools: Balsamiq, Visily, Figma
★Project Management: JIRA, Asana, Trello
★Data Analysis: Tableau, Google Analytics, Excel
★Marketing: Market Research, GTM, Product Launching, Digital Marketing
★Methodologies: Agile/ Scrum
★ User Experience (UX)
★Programming:

Experience

Payu logoPA

Product Manager

Payu

May 2023 - Nov 2023 (6 months)

Conducted 15+ user interviews to understand pain points, refined front-end, reducing customer support queries by over15%.
● Coordinated the design and delivery of customized merchant decks, aligning with specific merchant requirements, resulting in a 20% increase in merchant satisfaction.

JM

Product Manager (Internal)

JP Morgan

Jan 2022 - Jul 2022 (6 months)

Achieved a 40% reduction in manual review efforts by leveraging automation tools, allowing for a more strategic focus on identifying and resolving critical issues in fund administration.
Accomplished a 20% increase in operational efficiency by developing and implementing automated templates, reducing manual intervention in reviewing tasks performed by third-party fund administrators.

KP

Product Manager (Internal)

KPMG

Nov 2020 - Dec 2021 (1 year 1 month)

Successfully enhanced the user documentation, leading to a 15% increase in user adoption rates by providing clear instructions on tool functionalities and processes.

Accomplished a 25% improvement in user experience by actively participating in usability testing, identifying pain points, and implementing user-centric improvements to the automation tool.

PWC logoPW

Audit Analytics

PWC

Mar 2018 - Aug 2020 (2 years 5 months)

Led and empowered a team of 4 junior accountants, resulting in a 20% improvement in task efficiency and a 15% reduction in error rates through strategic guidance and mentorship.
Recognized trends and anomalies in financial data sets, enabling the detection of irregularities during auditing processes resulted in a 30% reduction in financial discrepancies.

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