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Vivek Neshti

Product Manager, Data Analytics & AI at PwC

San Jose, California

Overview 

Vivek Neshti is a Product Manager specializing in Data Analytics and AI at PwC in San Jose, California. With a background in AI and machine learning, he has successfully led product design and strategy initiatives, including working with data architects on Databricks and Azure Databricks products. Highlights of his career include serving as a Technical Product Manager at EY, where he honed his skills in product management and customer success, and his role as a Senior Data Engineer at EY, where he gained expertise in data warehousing, ETL processes, and data modeling.

Work Experience 

P

PwC

  • Product Manager, Data Analytics & AI

    2021 - Current

E

EY

  • Technical Product Manager

    2016 - 2021

    Crafted and executed data-driven product roadmaps for insurance and healthcare clients, enhancing underwriting processes through tailored analytics solutions. Led cloud migration initiatives for data products, optimizing processing efficiency and reducing operational overhead. Managed the RFP process and conducted vendor workshops to select ETL, database, reporting, and MDM tools, ensuring alignment with product goals and cost-effectiveness. Collaborated with and mentored offshore teams to maintain product consistency and meet deliverable timelines across multiple time zones, fostering improved cross-functional coordination and streamlined project execution.

Ernst & Young is a provider of assurance, tax, transaction and advisory services.

ey.com
AP

Atlanta Police Foundation

  • Business Intelligence Intern

    2016 - 2016

    - Developed Tableau reports and visualizations for analyzing Crime Data to support Atlanta Police Department.

GS

Georgia State University

  • Business Intelligence Developer/Research Assistant

    2015 - 2016

    - Assistance to faculty in researching about latest tech in Analytics and AI domain. - Perform data analysis for Graduate Admissions Department using various analytics and reporting tools such as R, Tableau - Supervise undergraduate students working on assigned research projects under the faculty

E

EY

  • Senior Data Engineer

    2013 - 2015

    Designed and developed ETL solutions for insurance and banking clients, developed SprakSQL queries for effective AWS Glue ETL workflows. Orchestrated pipelines using Airflow. Developed star-schema data model to load data from Salesforce/CRM/Veeva applications. Created executive-level reports and presented complex analytic findings to senior leadership, delivering actionable insights that drove client business strategies. In gathering requirements, I worked closely with both business and technical teams to ensure solution alignment. Supported maintenance activities for ETL and reporting systems, provided production and development support for OLTP applications and data warehouses.

  • Data Engineer

    2011 - 2013

    Key Responsibilities: - Developed a multidimensional semantic layer and BI query objects to empower end users with accessible, insightful data views. - Established and managed BI training programs, documentation resources - Collaborated with business requirements analysts to accurately identify and interpret source data systems. - Mapped source system data to align with data warehouse models, ensuring consistency and relevance. - Designed and tested ETL processes, ensuring reliable data extraction, transformation, and loading. - Defined and captured essential metadata and rules to maintain transparency and governance for ETL processes.

Ernst & Young is a provider of assurance, tax, transaction and advisory services.

ey.com

Education 

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