Act as data scientist performing statistical modelling and economic analysis of high-stakes litigation involving structured finance, bankruptcy, cryptocurrencies, and mass torts. Build algorithms and financial models to estimate damages and predict the performance of complex financial instruments. Use a variety of programming languages to identify fraud and negligent risk management practices for Fortune 500 companies, SEC, DOJ, and FINRA.

Utilize statistical modeling, data analysis, and machine learning to uncover consumer insights and make business recommendations for diverse energy industry clients. Act as primary analyst evaluating demand-side management programs, including a $600k+ randomized control trial to quantify the impacts of smart thermostat direct load-control events. Forecast electric vehicle diffusion and develop deliverable dashboards for stakeholders using R Shiny. Build models to forecast demand elasticity and potential energy reduction.

Led a project investigating optimal advertising strategies for an online retailer by supplementing Google Analytics and sales data to perform Geo-spatial analysis, market research, and ultimately lead generation.

Developed an interactive dashboard to help financial advisors navigate bear markets and contextualize historical data using Shiny, a web application package for R.

Professional Narc

Probability / Linear Algebra / Statistics / Economics

- LAN/WAN/NOC/NAS Administration
- Lead business-wide IT projects and a team of up to 6 people
- Manage 100+ workstations, servers, MFPs, and PBX phone systems