Louis Quicksell Email & Phone Number

San Francisco, California, United States

Lead analyst for financial technology startup. I mine and deliver insights to leadership, product, marketing, operations and engineering.Answer/devise questions from stakeholders using SQL (BigQuery/Redshift), R (ggplot, Shiny), and dashboarding tools (Retool, JS).My main focuses include:- Growth (CAC, funnel conversion/telemetry, channel attribution/quality)- Revenue (LTV, payback period, product projections)- UX/User insights (segments/profiles, A/B tests, user activity, retention, lifecycle cohorts)- Performance (marketing promos, product + business KPIs)

Remote

- Summary: Contract position with Microsoft to establish the foundations for a cost/carbon accounting capability within Azure Machine Learning. I directly managed two projects, assisted on third as part of CELA sustainability grant to build telemetry for measuring cost ($), carbon, and energy for Azure Machine Learning training services- Project 1: Developed methodology and implemented telemetry for estimating cost ($) of Azure Machine Learning training at a per-job level (higher granularity than previously available)- Project 2: Created a Carbon API which allows calculation of carbon emissions of Azure Machine Learning training jobs- Project 3: Implemented telemetry and UI to surface GPU energy usage for Azure Machine Learning training jobs

Greater Seattle Area

Teaching Assitant for MSTI 510: Programming For Digital And Physical User Interfaces course

University Of Washington

As part of capstone graduate project for Launch 1 class- Implemented a data reporting tool for repurposing electric vehicle batteries into renewable energy storage- Implemented models to predict battery pack features including estimated resale value, remaining cycles, State of Health (SOH)- Led development of dashboard feature, including design and deployment of four rounds of user testing and visualization evaluation

Columbus, Ohio Area

Used R to develop first ML product offerings at the firm including: predicting voter turnout using ML models (GBM, SVM, RF), segmenting voter populations using clustering techniques (K-means), modeling support for candidates/products using regression techniques (SVR, GLM)Used R and Python to scrape and cleaned data from a number of sources, including static, web, and SQL based sources Communicated analytics results to stakeholders across public + private sector

Columbus, Ohio

• Special focus on advanced analytics work, involving statistical learning methods in their application to politics, such as regression models, cluster analysis, classification models, and other supervised/un-supervised learning tools.• Managed and organized the workflow of internal teams and client representatives to meet project deadlines• Independently analyzed research data using advanced statistical methods• Produced deliverables for client projects including drafting reports and presentations• Developed, implemented and shared best practices for research design and analysis using of database and programs such as R, SPSS, Excel and PowerPoint

Assisted the Party Chair and Affairs Director. Duties included working with local unit DFL chairs in event planning, assistance in the development and implementation of a state-wide activist and volunteer training programs, maintenance to the volunteer database and assist party units in their organizing efforts.

Master'S Degree, Data Science And Information Technology

Graduated with a Masters of Engineering in Data Science and Information Technology as part of the Global Innovation Exchange Dual Degree.

Master'S Degree, Technology Innovation

Graduated with a Masters of Science in Technology Innovation as part of the Global Innovation Exchange Dual Degree Program.

Bachelor Of Arts (B.A.), Political Science, Computer Science

Activities and Societies: The Denison Hilltoppers, 91.1 WDUBMajor in Political Science, Minor in Computer Science

Diploma