Sathish Rao Koteshwar

VP - Data Science, Machine Learning and Artificial Intelligence @ Salesforce

About

I help organizations Scale, Simplify and Streamline their Data and get deep business value out of it. Specialties: IT Architecture, Information Management, Enterprise Business Intelligence & Analytics Strategy & Implementations, Cloud BI, SaaS, Paas, Daas, Data Architecture & Data Warehousing, Data & BI Governance, Data Quality, Data Integration & ETL, Master Data Management, SAP Business Objects,Tableau, QlikView, MicroStrategy, Tableau SQL Server, Amazon Redshift, Snowflake, MySQL, Oracle, Teradata, PostgreSQL, Informatica, InformaticaCloud, Talend, StitchData, Fivetran. Global Delivery, RFPs, Vendor Selection, Outsourcing, Cost Reduction Strategies, Program & Project Management, Finance & Budget Management, Waterfall & Agile Methodologies, Relationship Management Leadership & Team Development, Problem Solving

Country

United States

City

Danville

Industry

Information Technology & Services

Skill

CRM, Business Intelligence, Data Warehousing, ETL, Data Modeling, Business Analysis, Physical Data Modeling, Logical Data Modeling, Information Architecture, Reports, Microstrategy, Business Objects, Pentaho, Informatica, Retail, E-commerce, Information Technology, Information Security, SQL, SQL Tuning

Experience

VP - Data Science, Machine Learning and Artificial Intelligence

Salesforce

2023-8 - Present · 3 yrs 2 mos

San Francisco Bay Area

Co-Founder

InvestInData

2021-9 - Present · 5 yrs 1 mo

San Francisco Bay Area

An angel syndicate of data leaders backing early-stage data startups.

Investor

GIT1K

2022-8 - Present · 4 yrs 2 mos

San Francisco Bay Area

End user Angel syndicate, members are product-driven Engineering, IT, Data, and Cybersecurity operational and thought leaders at growth-stage to Fortune 1000 companies.

Advisor

Modal

2022-12 - Present · 3 yrs 10 mos

San Francisco Bay Area

Helping shape Modal’s roadmap, strategy, and content to drive Data Literacy in the industry.

VP, Data

MuleSoft

2021-6 - 2023-8 · 2 yrs 3 mos

San Francisco Bay Area

Spearheading the development of Enterprise Analytics function across MuleSoft. - Areas of business focus include Prospect Analytics, Customer Analytics and Product Analytics. - Areas of technical focus include, but not limited to, Data Integration and Platform Strategy, Data Analytics and Business Insights, Machine Learning and Artificial Intelligence, Data Governance and Master Data Management.

VP, Data

Tradeshift

2021-1 - 2021-6 · 6 mos

San Francisco Bay Area

Volunteer - Chief Data Visualization Officer

Human Health Project (HHP)

2020-9 - 2021-2 · 6 mos

Data visualization strategy formulation and implementation.

Vice President, Data

Metromile

2020-4 - 2021-1 · 10 mos

Responsible for heading Data Governance, Data Privacy / Security, Data Engineering, Data Science and Analytics, while building a strong foundation of data leaders across the org and helping mature processes to take the company public, while navigating the impact of COVID19 on the business.

Vice President, Analytics

Metromile

2018-10 - 2020-4 · 1 yr 7 mos

San Francisco Bay Area

Responsible for building the Data Engineering & Analytics function to help manage risk and pricing strategies.

Vice President, Business Intelligence

TrueBlue Inc.

2016-10 - 2018-9 · 2 yrs

Greater Seattle Area

Helped manage data strategy, data governance, data warehouse build and design and deployment of self-service analytics. Primary responsibilities were to consolidate across different brands, while providing a leapfrog analytics experience compared to outdated legacy solutions, while driving business results.

Director of Business Intelligence

Stella & Dot

2014-1 - 2016-9 · 2 yrs 9 mos

San Francisco Bay Area

Helped Stella&Dot go from a single brand to a family of brands. Led the Data and Analytics strategy for the launch of Keep (bracelet line) and Ever (Skincare products) brands. Retired legacy solutions while providing innovative analytics solutions to consolidate data and help drive cross-brand business insights.