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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!

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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

  • Introduced Agile implementation for Data, SW, HW & Manufacturing teams through Scrum Framework to track project completion that involved cross-team deliverables​

  • Owned project execution by analyzing current state, program scope and defining roadmap for Q1 and Q2

  • Improved transparency in project communication through One-Pagers, BRD(s), Risk Tracker and Feedback Logs

Program Manager Intern

May - December 2023

@ZF

Lafayatte, Indiana
  • Introduced configuration management plan for 4 projects in the Electric Steering Program and owned 20 KPI to track execution and traceability through audits

  • Spearheaded competitive analysis of products offered to identify trends and consumer insights. Drafted a recommendation plan to gain further strategic advantage.

  • Attained 10% more profit by managing change requests to projects calculating M-ROCE, NPV, Payback and GMV

  • Facilitated gate meetings between Director and Managers to plan deliverables, track execution and identify risks.

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Product Manager 

@Forwood Safety

May 2021 - Dec 2022

  • Accelerated “Teams Target” feature planning by facilitating design sprint with engineering and design teams through ideation, wireframing and usability testing

  • Managed, evaluated and attained 20% increase in feature adoption rate by experimenting A/B tests of various user experiences across customers

  • Achieved 3x usage increase in ‘Companies Filter’ feature by revamping UI based on instrumentation and customer feedback

  • 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
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Data Scientist

@Accenture

May 2020 - May 2021

  • 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

  • Enhanced user experience by diminishing response times of chatbot by 30% by utilizing AWS Lex and other serverless services

  • 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

  • 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

  • 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

  • Spearheaded PPA club to engage employees by organizing 100+ activities through drafting budgets and logistics

Hyderabad, India
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