Madhu Shalini Iyer
Managing Partner at rocketship.vc- Claim this Profile
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Bio
Experience
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Rocketship.vc
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United States
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Venture Capital and Private Equity Principals
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1 - 100 Employee
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Managing Partner
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2019 - 4 years
Los Altos CA
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Startups & Venture Capital
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United States
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Advisor to VCs and Startups - Operator turned Investor
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Mar 2018 - Jan 2020
San Francisco Bay Area Advised a Blockchain startup in recruitment technology - wrote their technical whitepaper that helped them raise 70M in ICO. Advisor to a leading leading provider of Enterprise Cloud services and solutions that is public in India. Mentor to a fund in Singapore. Raised 10M for a deep tech fund.
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Chief Data Officer / Advisor
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Jul 2017 - Aug 2018
San Francisco Bay Area Formulated data strategy, security, privacy and governance across the company. Built a cross functional org including an analytically driven marketing team to drive B2C lending. Scaled to 60M+ lent per month (b2c). Helped fund raise from top investors. Stayed on as advisor. Ethos Lending is a Khosla Ventures backed series B startup, with a mission to automate the trillion dollar mortgage industry. Ethos is a next-generation mortgage software company and direct lender that originates… Show more Formulated data strategy, security, privacy and governance across the company. Built a cross functional org including an analytically driven marketing team to drive B2C lending. Scaled to 60M+ lent per month (b2c). Helped fund raise from top investors. Stayed on as advisor. Ethos Lending is a Khosla Ventures backed series B startup, with a mission to automate the trillion dollar mortgage industry. Ethos is a next-generation mortgage software company and direct lender that originates high-quality loans at amongst the lowest price points in the country. Leveraging technology, Ethos has re-engineered the mortgage supply chain, creating a highly intuitive, transparent and efficient experience for the consumer and mortgage broker. Through data-driven decisions, our loan data engine automates workflows and processes resulting in high throughput and reduced risk, while accelerating the loan process. Show less
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Gojek
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Indonesia
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Technology, Information and Internet
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700 & Above Employee
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Chief Data Officer/ Board of Directors
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Jun 2016 - Mar 2017
Singapore/ Indonesia Chief Data Officer/ Board of directors of a unicorn startup (Go-Jek) Director of Singapore Office - Started the office. Formulated data strategy, security, privacy and governance across the company. Built cross functional org. Helped fund raise from top investors.
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Partner
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Feb 2016 - Jun 2016
Hong Kong 150M Private Equity Fund - evaluated investments and helped startups across SEA.
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Intuit
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United States
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Software Development
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700 & Above Employee
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Data Science and Analytics Leader
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Apr 2011 - Feb 2016
Mountain View, CA Led data science and analytics team in the Small Business Group on QuickBooks Financing, a platform to connect small business customers with lenders. Recipient of Intuit's founder Innovation Award, that recognizes outstanding achievement in technical innovation. Recognized for pioneering an invention that changed the financial lives of small business customers in a meaningful way. Prior to that, consulted and influenced overall statistics strategy of different businesses within… Show more Led data science and analytics team in the Small Business Group on QuickBooks Financing, a platform to connect small business customers with lenders. Recipient of Intuit's founder Innovation Award, that recognizes outstanding achievement in technical innovation. Recognized for pioneering an invention that changed the financial lives of small business customers in a meaningful way. Prior to that, consulted and influenced overall statistics strategy of different businesses within Intuit, Drove business value through large-scale analytics in areas such as, Customer Retention, Personalization, Text Analysis and Clickstream Analysis. Show less
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Exponent
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United States
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Business Consulting and Services
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700 & Above Employee
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Senior Scientist, Statistics and Data Sciences
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Jul 2005 - Apr 2011
Experience in solving critical business problems using machine learning, data mining, advanced mathematical & statistical predictive modeling techniques. Lead statistician supporting cross functional engineering teams including materials science, electrical engineering, mechanical engineering, automotive, and thermal sciences.
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Education
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University of Sydney
Bachelor of Engineering (BEng), Computer Engineering