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Kendrick Geluz Kho
Doing something new. Formerly: GFC, Amazon, Stanford
About
Kendrick Geluz Kho is an experienced angel investor with a passion for investing in and helping early-stage startups. He is currently the Angel Investor at his own company, where he invests in a variety of startups, including Museum of Future Experiences and Expedock, among others. Prior to his current role, Kendrick worked as an Investor at Global Founders Capital, where he focused on global enterprise and software investments, with a particular interest in fintech, real estate tech, and deeptech. During his time there, he was involved in investments in companies such as Barn2Door, Awning CRE, Assured Claims, PayMongo, and Quo, among others. Kendrick also previously worked at Hone Capital (formerly CSC Venture Capital), where he combined qualitative and quantitative analysis to build a new model of venture capital. He evaluated startups for venture capital investment through qualitative and quantitative factors and constructed machine learning models to drive algorithmic/quantitative investing in private markets. He also created investment, portfolio management, fund strategy, and operational processes for ~$400M of committed capital and led the development of portfolio tracking and evaluation systems across 300+ investments. Kendrick holds a Master of Science (M.S.) in Management Science and Engineering and a Dual Bachelor of Science (B.S.) in Science, Technology and Society; Earth Systems from Stanford University. His tech stack includes expertise in ML. With 10.94 years of relevant experience, Kendrick is a seasoned investor who is passionate about helping startups succeed and grow.
Education
Companies
• south park commons
• something more
• fourth realm vc
• spacex
• deel
• global founders capital
• hone capital formerly csc venture capital
• realscope
• stanford seed
• amazon
• cogenra solar
Experience
11.6 Years
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Experience
Investor & Head of Data Science
hone capital formerly csc venture capital | Palo Alto, California, United States
2016 - 2019
Skills
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Artificial Intelligence (AI)
Business-to-Business (B2B)
Data Science
Data Scientist
Founder
Machine Learning (ML)
Perl
strategy
Venture Capital
Contact Details
Email (Verified)
kenXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
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