Hands on ML / AI projects around streaming TV and movie content metadata, understanding, and prediction.MLOps and analytics engineering (dbt) support

Grew and led a team of 14 data scientists producing analyses, predictive models, and data products in realm of regenerative agriculture, carbon farming, and carbon credits. • Doubled team within a year while enhancing team cohesion, collaboration, and efficiency. • Enhanced predictive performance and productionized several models that powered core monitoring, reporting, and verification (MRV) of Indigo’s Sustainability programs.

I lead a talented team of 15+ data scientists and data engineers covering data lake, data warehouse, data governance, as well as building out innovative back-office and member-facing data products (predictive models, recommenders etc.) • Deployed 30+ machine learned data products (churn & return models, food recommenders, social network recommenders, nutrition label scanner, supply chain forecasting etc) serving millions of global members daily • Deployed streaming analytics solutions and data platform infrastructure that enhanced operations and personalized member experience • set strategic vision for new global food data team and infrastructure, got CxO buy-in and resourcing, helped launch team. • managed managers and managers of managers• I also help set data strategy and am a member of the technology leadership teamA recent post on how I built out our amazing data science team:https://medium.com/ww-tech-blog/from-0-to-60-models-in-two-years-building-out-an-impactful-data-science-function-9ef86abb9605

Setting strategy for personalization, experimentation, data science, data engineering, and data more generally. • Member of tech leadership team • Managing data science and data engineering teams

- grow team of data scientists - manage advanced analytics, model development, and ship data products - partner with business, product, and tech teams to develop ML/Data/AI strategy - evaluate vendors, partners, and M&A candidates - member of Tech leadership team - developed and open sourced a ML workflow framework (Primrose: https://github.com/ww-tech/primrose).Also (interim) head of Customer Intelligence Team: - run and grow team of BI engineers - develop data quality and governance strategy - develop and manage data warehouse(s) - develop and manage various BI tools

Developed predictive models, especially around location intelligence. Marshaled our geospatial data, built APIs and mapping tools. Research in generative design (automated architectural tools)

Headed up the data engineering, business intelligence, and data science efforts of the company. Grew the team to 15 people. Developed data strategy, brought in Looker BI tool to organization (now with 1000+ internal users).

Warby Parker was founded with a rebellious spirit and a lofty objective: to create boutique-quality, classically crafted eyewear at a revolutionary price point.-- Head up team of data scientists, software engineers, and data engineers-- Act as internal consultant for advanced analytics-- Built data products such as recommenders, predictive models, simulation models-- Develop program to enhance data-driven decision making culture-- Built out business intelligence tool rolled out to 150 employees-- Mentor analysts in data visualization, inferential statistics and experimental design-- Built out data warehouse-- Work with General Counsel drafting data and privacy policies, performing due diligence with new vendors with respect to data access and security

I am a member of One Kings Lane's data team currently working on predictive models, data extraction and recommender systems, mostly in python & R.One Kings Lane is the leading flash sales site for the home market, offering members access to spectacular designer home decor, furnishings, accessories, and gifts – at prices up to 70% off retail. One Kings Lane works directly with leading home brands to bring the very best products at exceptional prices to its members – every day of the week. One Kings Lane also partners with top designers, decorators and industry insiders to deliver content that inspires, enlightens and informs.onekingslane.com-- built predictive models and classifiers in R & python-- extracted data using natural language processing (NLP) using NLTK to drive BI & personalization initiatives-- built recommendation system in python and ruby-- built personalization platform in ruby-- image processing with opencv (color & shape from product images)

Archimedes is an independent Healthcare Modeling organization located in San Francisco. Our core technology - the Archimedes Model – is a mathematical model of human physiology, diseases, interventions and healthcare systems. The Model is highly detailed, rigorously validated and made available for use by health plans, pharmaceutical companies, researchers, and other organizations to help understand and resolve vital clinical and administrative healthcare questions.-- validated the core stochastic model as it was ported from Smalltalk to Java-- Enhanced productivity of the science team significantly by fully automating the workflow of setting up and running simulations, monitoring progress and running reports when complete. -- Designed, created and maintained a flexible, centralized data analysis and reporting system for analyzing results from our simulation models. Acted as the system's data architect, DBA and linux sysadmin.-- Stopped reinventing-the-wheel productivity loss by getting the science team to standardize on my set of fully QC'd analysis tools, reducing the number of different programming languages used for analysis from 14 to 4. -- Managed several scientists and developers.