About
Christophe holds an MBA from Wharton and leads Cedar Labs, a data science consultancy. He has ten years of data science experience across Capital One, Amazon, the 2012 Obama campaign, and several startups. Christophe has expertise in finance, marketing, and retail. His specialties include data strategy and architecture, hiring data teams, time series and forecasting, regression and classification, machine learning, NLP, analytics, and ETL/pipelines.
Top Skills
- Natural Language Processing (NLP)20%
- Predictive Modeling20%
- Machine Learning20%
- Data Visualization20%
- Time Series Analysis20%
Also works with
- Statistical Forecasting
- Data Analysis
- Data Analytics
- Analytics
- Marketing Analytics
- Data Science
- Statistics
- Data Reporting
- Generative Pre-trained Transformers (GPT)
- Big Data
- ROI
- Executive Consulting
- Web Scraping
- Forecasting
- Predictive Analytics
- Data Engineering
- Marketing Mix Modeling
- Data Scientist
- Media Mix Modeling
- Bayesian Inference & Modeling
- Marketing Science
- Time Series Data
- Time Series Forecasting
- Marketing Mix
- Multi-touch Attribution
- Time Series
- Applied Mathematics
- Financial Modeling
- Financial Forecasting
- Artificial Intelligence (AI)
- Leadership
- Pricing Models
- Large Language Models (LLMs)
- System Modeling
- Bayesian Statistics
- Google Analytics 4 (GA4)
- CRM
- Econometrics
- Serverless
- OpenAI
- Meta Ads
Experience
Jan 2019 — Present
CEO
Cedar Labs
Led data science consulting practice, focusing on data strategy and growth-oriented data services. Served as fractional chief data officer for early-stage startups: set strategy, built capabilities and products, hired talent. Supported user acquisition, forecasting, resource allocation, product development; specialized in fintech and SaaS companies. Offered the following services; strategy, governance, hiring data teams, architecture, predictive analytics, time series analysis, regression, classification, recommendation systems, machine learning, natural language processing, ETL, and pipelines
Jan 2018 — Jan 2019
Lead Data Scientist
Foundry.ai
Served as general manager of hud.ai (the second oldest portfolio company within the Foundry.ai startup studio): led the product roadmap, data science, business development, and customer success. Built dozens of new feature sets/models across full stack, coordinating in-house and offshore developer teams and doubling sales. Executed pivot in product strategy, built new product and go-to-market strategy. Built NLP models with TensorFlow and Scikit-learn, deployed using Docker, Serverless/Lambda, and scaled with Node and elasticsearch. Developed new ETL process and built data pipelines from scratch for large text datasets, using Python, Selenium, AWS Lambda + Layers, and both Postgres and a data lake. Consulted for telecom company and built advanced predictive models for buying propensity, customer churn, and marketing campaign effectiveness. Built large competitive intelligence system using cloud-based crawlers, which along with first-party data were used to train and update predictive models.
Jan 2016 — Jan 2018
Co-founder, Head of Product
CitySense Technologies
Provided SaaS analytics services to water utilities to reduce lost revenue. Built most popular product, which forecasted resource usage and identified deviations in order to pinpoint equipment degradation. Built an MVP and beta app, launched in three pilot cities. Won third place at the Penn Wharton Startup Competition ($35,000), Summer Venture Award ($10,000), and Innovation Fund ($1,500).
Jan 2017 — Jan 2017
Senior Product Manager (MBA Intern), US Marketplace
Amazon
Designed and built machine learning models to target grocery and CPG items to fast-growing Amazon shopper segments. Led partner teams around the world to implement and refine model, scaled to three international markets. Led process by coordinating technical and non-technical teams during scoping, development, and planning for roll-out.
Jan 2013 — Jan 2016
Product Manager (Earlier roles: business manager, senior business analyst)
Capital One
Led acquisitions of high-spending consumers across the company’s flagship products, Venture and Quicksilver. Created an innovative model connecting the effects of offline and online marketing. Obtained a $10 million testing budget to conduct full analysis. Led a small team in the analysis of results. Delivered learnings that drive millions in annual value to the CEO and Board. Developed product strategy for market-leading cash rewards card, Quicksilver, growing new customers through digital channels by 40% annually. Designed and launched multi-million-dollar campaigns to acquire customers and build brand value in high-impact markets, coordinating a half-dozen internal and external teams. Promoted < nine months after joining the team. Oversaw credit card loss forecasting using advanced financial models in multi-billion-dollar credit portfolios. Managed biannual stress test of $70 billion in card loans, coordinating the process across 15 people, and producing whitepaper for the Federal Reserve.
Jan 2012 — Jan 2012
Statistical Modeling Analyst
Obama for America
Developed finely tuned models of voter turnout and candidate support in 2012 battleground states. Mined massive voter-level datasets with >1,000 data fields (demographics, voting history, household info, 3rd-party data). Discovered prediction discrepancies and created new models which overcame poor state data in key variables (e.g. age, party registration).
Education
Master of Business Administration Degree in Management
The Wharton School - Philadelphia, Pennsylvania, USA
2016 - 2018
Bachelor's Degree in Mathematics
Williams College - Williamstown, Massachusetts, USA
2006 - 2010
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