Identifying and working with partners across the organization to drive impact through ML and data science. Coaching team members on technical excellence and creative solution. Solving problems and creating opportunities with data and ML.

* Helping to democratize professional technology education by analyzing data, building models, and allowing decision-makers to act on data. * Supporting the business through a broad range of data science projects including - Statistical analysis to determine the value of different components of our platform using survival analysis - Led the development of a new company-wide KPI - Built models to classify our course content* Partnering with leaders from product, data platform, and especially focused on strategy.* Working with data scientists to establish best practices and raise the bar on quality and reproducibility.

* Managing a team of data scientists and working with (data) engineers and product managers - directing day-to-day activities of data science team - working closely with the product teams to identify new opportunities and directions to drive business impact - working closely with engineers to implement features needed for data science, and to help support the data infrastructure* Built large-scale machine learning products - designed the system to efficiently train and score dozens of ML models through a robust workflow management/task dependency workflow - using Spark ML on a complex database of customer behavior around automotive service, sales, and marketing - contains many billions of records - creating tools to allow data scientists to quickly and easily push new features or models into production - models include classification, clustering, and regression working with semi-structured text as well as structured relational data* Spearheading efforts to understand and improve our models - identifying relevant performance metrics; deep dives into the model performance to determine ways to improve it; help our clients develop trust in models through metrics and visualizations * Developing strategies and tools to facilitate learning from our data - exploit captured data whenever possible - A/B testing features and tools - experimental design * Performing analysis of all kinds to answer business questions or make recommendations to clients - scope ranging from a few hours to several weeks - design analysis plan; identify and deal with sources of bias; ensure validity by computing a measure of confidence; develop a mechanism for peer review of analysis - presenting results of analysis to business users or directly to clients

-Responsible for implementing scientifically accurate and fast calculations in C# for a Unity3D-based sandbox space simulator. - Created stellar evolution, tidal heating, galaxy, and orbital choreography systems from scratch- Built an SQLite database of celestial objects as well as tools for users to interact with it.- Learned industry practices, importance of user experience for user-facing product; worked with an international, remote, and diverse team; C#; version control; SQL database creation; Agile development

- Created custom software pipeline to turn raw data from a variety of telescopes into a unified data products catalog, then analyzed the catalog for scientific publication.

- Created a statistical model of the Milky Way and simulated their observed properties in the Large Synoptic Survey Telescope using Monte Carlo techniques. Author or co-author of over 20 publications.- Software development skills; ability to deal with messy data; learned several new hardware and software tools; course work covering advanced math and statistics.- Served as a teaching assistant for several semesters of 100 and 400-level astronomy courses