Victor Hu Email and Phone Number
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A strategic analytics and insights executive with a strong track record of leading global teams covering: data science, machine learning (ML) and AI, data engineering, business intelligence, research, cloud infrastructure, product and project management. Experienced as both a startup CxO with multiple exits; and as a senior director at large companies collaborating cross-functionally to drive new commercial opportunities using data and technology. Developed data and AI-driven innovation in a variety of industries spanning: sports and gaming, finance and insurance, healthcare, music and entertainment, security and cyber, B2B software (SaaS), consulting and tech.Led the execution of end-to-end solutions across: fraud detection and reduction, pricing and revenue forecasting, risk modeling and selection, product and market research, transaction insights and behavior, customer growth and segmentation, user acquisition and engagement, resource allocation and optimization. A dedicated leader passionate about developing people to reach their full potential. Thrives in combining technical problem solving with the storytelling and commercial strategy necessary to grow successful businesses.
- Website:
- dukelong.com
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Data ScienceLinkedin 2023 - PresentSunnyvale, Ca, Us
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Svp, Data And AnalyticsMojo 2022 - 2023New York, UsBuilt the analytics team at Mojo, a sports stock market startup with $100M in funding.- Delivered insights to drive decisions across multiple teams including marketing, finance, customer service, business development, content, and product- Led the strategy, design, and partnerships to map real-time user journeys, benchmark performance, analyze customers, and track payment fraud- Grew team capability to span data science and engineering, BI, advanced modeling, and reporting -
Head Of Data Science And EngineeringMs Amlin 2021 - 2022London, GbLed the AI center of excellence at a global insurer contributing to its 2021 profit increase of $200M. - Defined global research and analytics priorities, working with each market to scope modeling opportunities and evaluate strategic initiatives - Secured C-suite support and funding for projects with board presentations and senior stakeholder relationships- Built team to 20, including managing offshore resources, to deliver risk, pricing and forecasting models in 7 markets -
Head Of Data ScienceQbe Insurance 2016 - 2020Sydney, New South Wales, AuEstablished the transformative new analytics capability for a global insurer with $4B in revenue and delivered measured benefits of $25M using data to detect fraud with text mining, improve claims effectiveness, and manage risk.- Built team from scratch up to 30 data analysts, scientists, researchers, engineers, product and project managers- Developed data as an asset, leveraging and extracting a wide variety of new internal and external sources of claims, medical and survey data- Led adoption and integration of actionable recommendations with executive engagement and collaboration across 10 cross-functional teams- Coached and developed team with mentorship and learning initiatives to improve efficiency and maintain 90% retention -
Chief Data OfficerTictrac 2015 - 2016London, England, GbSpearheaded data and commercial strategy for AI-driven health care startup with successful $50M exit- Transformed health and medical data into predictive insights and personalized recommendations- Communicated market strategy and data vision in order to sign Fortune 100 client deals and secure venture capital funding- Architected the company’s analytics platform, including survey research, BI infrastructure, A/B testing and reporting -
Chief Data ScientistNext Big Sound, Inc. 2012 - 2015New York, Ny, UsEarly employee at music analytics startup with successful acquisition by Pandora Music - Created and patented a ML algorithm to predict breakout artists, powering the Billboard Hot 100 chart and leading to a major label contract to sign artists with data- Established company as industry leader with conference talks, articles, and book publications- Applied creative mathematical and statistical methodologies to measure causality, impact, propensity, and handle data limitations -
Applied Research MathematicianUnited States Department Of Defense 2010 - 2012Washington, Dc, UsData mining and machine learning, cloud computing and Hadoop analytics, algorithm design and implementation, team lead and technical presenter. -
Actuarial ConsultantMilliman 2007 - 2009Seattle, Wa, UsDeveloped financial models to forecast asset-liability management of a major Fortune 100 institution and price their Japan businesses, with total revenue over $7 billion, for sale. -
Baseball Operations ResearchNew York Yankees 2005 - 2005Bronx, New York, UsConducted statistical research on lineup optimization, position scarcity, pitching predictors, seasonal variance, contracts and player value.Work featured in New York Magazine. Named one of Sports Illustrated's 25 under 25.
Victor Hu Skills
Victor Hu Education Details
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Harvard UniversityStatistics -
Harvard UniversityApplied Mathematics
Frequently Asked Questions about Victor Hu
What company does Victor Hu work for?
Victor Hu works for Linkedin
What is Victor Hu's role at the current company?
Victor Hu's current role is Data and Analytics Executive | Leading Innovation with Data Science and AI.
What is Victor Hu's email address?
Victor Hu's email address is vi****@****lin.com
What is Victor Hu's direct phone number?
Victor Hu's direct phone number is 020 7105*****
What schools did Victor Hu attend?
Victor Hu attended Harvard University, Harvard University.
What skills is Victor Hu known for?
Victor Hu has skills like Data Mining, Statistical Modeling, Statistics, R, Predictive Analytics, Machine Learning, Financial Modeling, Python, Analysis, Analytics, Quantitative Analytics, Data Analysis.
Who are Victor Hu's colleagues?
Victor Hu's colleagues are Alexandra Rynne, Julie Reisner, Johnlf7750401-152926 Doe, Wang Haoyu, Sriram Vasudevan, Marium Ibrahim, Johnnjv4d0113-161038 Doe.
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