CEO
2019 - PRESENTCedar 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.
Technologies: Amazon Web Services (AWS), Serverless, Node.js, PythonLead Data Scientist
2018 - 2019Foundry.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.
Technologies: Amazon Web Services (AWS), Elasticsearch, Node.js, Serverless, Docker, TensorFlow, Scikit-learn, PythonCo-founder, Head of Product
2016 - 2018CitySense 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).
Technologies: Amazon Web Services (AWS), Elm, JavaScript, RStudio Shiny, RSenior Product Manager (MBA Intern), US Marketplace
2017 - 2017Amazon- 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.
Technologies: SQL, ScalaProduct Manager (Earlier roles: business manager, senior business analyst)
2013 - 2016Capital 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.
Technologies: Microsoft Excel, Visual Basic for Applications (VBA), Python, SQL, SASStatistical Modeling Analyst
2012 - 2012Obama 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).
Technologies: Microsoft Excel, SQL, STATA
Christophe Williams
Data Science Developer in Arlington, VA, United States
Member since March 12, 2020
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.
Christophe is now available for hire
Portfolio
- Cedar LabsAmazon Web Services (AWS), Serverless, Node.js, Python
- Foundry.aiAmazon Web Services (AWS), Elasticsearch, Node.js, Serverless, Docker...
- CitySense TechnologiesAmazon Web Services (AWS), Elm, JavaScript, RStudio Shiny, R
Experience
- SQL 8 years
- Time Series Analysis 8 years
- Python 6 years
- Machine Learning 6 years
- Data Pipelines 5 years
- Data Visualization 5 years
- Amazon Web Services (AWS) 4 years
- Tableau 4 years
Availability
Part-time
Preferred Environment
Amazon Web Services (AWS), Elasticsearch, SQL, Docker, Jupyter, Python
The most amazing...
...project I've developed recommended products to cultural diasporas for a large eCommerce platform, starting with the US before rolling out internationally.
Employment
Experience
- Topic Modeling for Sales Intelligence Platform
Built an end-to-end system for modeling news article topics for hud.ai, an AI-enabled sales intelligence platform. Led the roadmap, development, deployment, and maintenance of the model, ensuring efficient operation for hundreds of thousands of articles.
Executed the following:
• Conducted user interviews to qualify needs and scope project
• Sourced training data
• Cleaned and preprocessed data
• Developed and iterated on topic hierarchy
• Built, validated, evaluated models, choosing gradient-boosted decision tree approach based on sentence-vectorized embeddings
• Dockerized models for serving at an API endpoint
• Built new data tables and API logic to score hundreds of thousands of articles and store scores in RDS and Elasticsearch
• Updated UI/UX to incorporate topic models, and fine-tuned through additional user interviews
Skills
Languages
Python, SQL, R, Excel VBA, SAS, Visual Basic for Applications (VBA), JavaScript, Elm, ScalaTools
Jupyter, Microsoft Excel, Tableau, STATA, MATLABParadigms
Data Science, Serverless Architecture, ETLStorage
Databases, PostgreSQL, MySQL, Data Pipelines, ElasticsearchOther
Natural Language Processing (NLP), Predictive Modeling, Machine Learning, Data Visualization, Time Series Analysis, Statistical Forecasting, Data Analysis, Data Analytics, Analytics, Marketing Analytics, Statistics, Data Reporting, Financial Modeling, Financial Forecasting, ServerlessLibraries/APIs
Node.js, Scikit-learn, TensorFlow, VuePlatforms
Amazon Web Services (AWS), DockerFrameworks
RStudio Shiny, Django, Spark
Education
- Master of Business Administration Degree in Management2016 - 2018The Wharton School - Philadelphia, Pennsylvania, USA
- Bachelor's Degree in Mathematics2006 - 2010Williams College - Williamstown, Massachusetts, USA
