Chris Keating

Product + Data at Valora
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Location
San Francisco, US

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Experience

    • Chile
    • Advertising Services
    • 1 - 100 Employee
    • Product + Data
      • May 2023 - Present

      San Francisco Bay Area Series A company backed by a16z, SVAngel, NFX, and other great investors. Valora's mission is to unlock access to financial opportunity so everyone can create and share value without barriers.

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist, Product
      • Jun 2021 - Nov 2022

      New York, United States Product Strategy - Co-owned product strategy with 5 PMs through data-driven reports/presentations for team of 40 - Led design and implementation of framework to prioritize quarterly team projects; evaluated revenue opportunity, estimated impact on team KPIs, and proactively identified potential risks to product metrics - Defined and set revenue goals for 3 sets of annual team-wide KPIs (‘21, ‘22, ‘23) and 15 product KPIs - Conducted 8 root-cause analyses on KPI performance;… Show more Product Strategy - Co-owned product strategy with 5 PMs through data-driven reports/presentations for team of 40 - Led design and implementation of framework to prioritize quarterly team projects; evaluated revenue opportunity, estimated impact on team KPIs, and proactively identified potential risks to product metrics - Defined and set revenue goals for 3 sets of annual team-wide KPIs (‘21, ‘22, ‘23) and 15 product KPIs - Conducted 8 root-cause analyses on KPI performance; presented to VPs to drive product and staffing decisions - Created product recommendation and business case for ML-based behavioral nudging/recommendation system; this led to funding of new team/workstream for 1 year - Built projection model of overall product adoption by EOY; this led to team focusing on building specific products that would impact largest cohorts of projected users, as opposed to focusing on whether team would reach product adoption goal; projection was only 5% off from actual final figure Experimentation - Designed 10 experiments to test conversion flow designs and measure impacts on key metrics - Increased adoption of upsell product by +76% by creating non-intrusive upsell while considering customer targeting and notification fatigue - Increased customer conversion rate by +24% through A/B testing and conversion funnel analysis Data Engineering/Dashboard - Built strong data foundations for teams to leverage data insights - Built 1 org-level dashboard for tracking team-level KPIs and 8 metrics dashboards for measuring product usage - Constructed 2nd-most utilized dashboard at Twitter; non-technical employees used it to analyze user behavior - Built 10 data pipelines to aggregate and filter various datasets of 100+ petabytes of data for faster analyses; tables were used to understand product adoption and KPI changes in order to make product recommendations Show less

    • United States
    • Financial Services
    • 300 - 400 Employee
    • Optimization Analyst, Finance & Partnerships
      • Oct 2020 - May 2021

      New York, NY • Conducted customer support A/B testing via SQL, BI tools to increase CSAT by 28% • Performed sentiment analysis with NLP via BeautifulSoup, NLTK to determine CSAT drivers • Automated data collection through authenticated web scraping via Selenium to determine daily revenue attributed to each partner, reducing process from 30 minutes to 1 minute • Performed research analysis via Pandas, SQL to isolate effects of loans on changes in consumer credit scores

    • Data Analyst, Operations
      • Aug 2018 - Oct 2020

      New York, NY Led strategy and implementation of Artificial Intelligence Chatbot to reduce Operations spend by $950k annually (532% ROI) • Developed business case and collaborated with C-suite to create cross-sell strategy • Decreased agent workload by 61% via Natural Language Processing (NLP) and API integration Led data-driven initiative to reduce repeat customer contacts by 28% • Managed team of 2 employees to build reports and create presentations for leadership team • Implemented API… Show more Led strategy and implementation of Artificial Intelligence Chatbot to reduce Operations spend by $950k annually (532% ROI) • Developed business case and collaborated with C-suite to create cross-sell strategy • Decreased agent workload by 61% via Natural Language Processing (NLP) and API integration Led data-driven initiative to reduce repeat customer contacts by 28% • Managed team of 2 employees to build reports and create presentations for leadership team • Implemented API functionality to automatically rebalance workload, increasing SLA 44% Other Projects/Initiatives • Automated sending of outbound SMS messages via Python, APIs to reduce weekly effort from 60 minutes to 5 minutes • Managed engineering effort with teams in Malaysia/Ukraine to integrate 3 support systems, improving system efficiency by 18% • Coordinated Operations recruiting pipeline - interviewed 50 candidates & hired 20 employees

    • Spectator Sports
    • 1 - 100 Employee
    • Professional Athlete (Part-Time)
      • Jun 2018 - Sep 2019

      Dallas, Texas, United States Committed ~15 hours per weekend in-season to training, travel, and games while working at MoneyLion during the workweek

    • Financial Services
    • 100 - 200 Employee
    • Investment Banking Analyst
      • Oct 2016 - Dec 2016

      Los Angeles, California, United States

Education

  • Yale University
    B.A., Economics & Psychology
  • Phillips Exeter Academy
    Graduated with Honors

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