About Me
An SDE & Data Scientist who transitioned to Product Manager. With over 5 years of experience, I have delivered successful end-to-end data products, from design to execution. I believe that PDLC is a collaborative process, and it brings me great joy to work with cross-functional teams on complex projects. If you're looking for a cognitively data-driven Product Manager with a passion for building innovative features, look no further!
Professional History
Technical Program Manager Intern - Data
@Amazon Robotics
Jan - May 2024
Boston, Massachusetts
Jira
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Reduced 90% of manual efforts for leadership in business reporting through internal analytics/dashboards tool for NPI
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Introduced Agile implementation for Data, SW, HW & Manufacturing teams through Scrum Framework to track project completion that involved cross-team deliverables​
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Owned project execution by analyzing current state, program scope and defining roadmap for Q1 and Q2
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Improved transparency in project communication through One-Pagers, BRD(s), Risk Tracker and Feedback Logs
Program Manager Intern
May - December 2023
@ZF
Lafayatte, Indiana
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Introduced configuration management plan for 4 projects in the Electric Steering Program and owned 20 KPI to track execution and traceability through audits
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Spearheaded competitive analysis of products offered to identify trends and consumer insights. Drafted a recommendation plan to gain further strategic advantage.
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Attained 10% more profit by managing change requests to projects calculating M-ROCE, NPV, Payback and GMV
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Facilitated gate meetings between Director and Managers to plan deliverables, track execution and identify risks.
Product Manager
@Forwood Safety
May 2021 - Dec 2022
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Accelerated “Teams Target” feature planning by facilitating design sprint with engineering and design teams through ideation, wireframing and usability testing
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Managed, evaluated and attained 20% increase in feature adoption rate by experimenting A/B tests of various user experiences across customers
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Achieved 3x usage increase in ‘Companies Filter’ feature by revamping UI based on instrumentation and customer feedback
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Coordinated with Product Owner and other stakeholders for prioritizing backlog of features and ensured 100% of Sprint ceremonies were documented through JIRA and Confluence
Hyderabad, India
Data Scientist
@Accenture
May 2020 - May 2021
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Decreased prediction time of NLP model by 40% deploying spacy to accurately identify value-creation opportunities for
Accenture based on previous earning calls of clients
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Enhanced user experience by diminishing response times of chatbot by 30% by utilizing AWS Lex and other serverless services
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Simplified manual testing efforts by 40% by automating cloud-based application test cases leveraging AWS Services
Hyderabad, India
Application Developer
June 2018 - May 2020
@Accenture
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Developed scalable backend REST API(s) with 50% less memory usage reducing latency, with integration to MySQL and AWS Services maintaining standard coding practices and unit testcases
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Predicted 70% of billing errors on telecom client’s data sets by performing exploratory data analysis and utilizing decision tree algorithm in a classification model
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Spearheaded PPA club to engage employees by organizing 100+ activities through drafting budgets and logistics