● e2e ML model development from data sampling pipelines to online inference● drove strategic direction for a variety of initiatives in the integrity content problems space (preventing harmful content from recommendations systems)● drove alignment between organizations with conflicting priorities to move new projects forward● developed pixel-level CV models to detect integrity violations in images as well as downstream classifiers using CV inputs to detect violations in photos and videos

● Weekly ad-hoc data analysis to monitor customer groups and performance, update model score thresholds and customer segmentation boundaries, and also to make decisions about existing logic and whether it should be restructured.● Independently built a vectorized profitability prediction tool capable of re-calculating based on a wide array of user-inputted grouping criteria which is now used by all team members regularly. ● Collaborated with one other team-member on refactoring legacy feature engineering code to speed it up by a factor of 600 and also creating and maintaining an automated feature engineering structure used by all team members to engineer thousands of raw variables across multiple data vendors. ● Collaborated with 2 other team members on creating an “internal audit” system that replicates 3 different and independent services and their interactions for reporting purposes to bank partners through both an automated dashboard and text printouts on request.

● Created new trading desk focused on market-making in energy futures and swaps with the assistance of machine-learning-based data science/quant research in Python.● Designed and oversaw development of business plan, pricing models, and trading strategies.● Joined algorithmic trading desk at start of 2019 and focused on quant research and portfolio management in agriculture and livestock products.

Spent 18 weeks working on the following skills: ● Web application development in Ruby using Rails and Sinatra and JavaScript using Backbone.js● Database management with SQL (PostgreSQL, SQLite) and ActiveRecord● Test Driven Development with RSpec, Capybara, and Jasmine● Front-end design with HTML5, CSS3, jQuery, AJAX● Version control with Git ● Agile development (daily pair programming, user stories, iterations)● Built a fully functional mobile-first app in 8 days that allows Chicago citizens to report potholes, graffiti, and other neighborhood cleanup requests directly to the city.

● Market maker in crude oil and refined products● Wrote and traded covariance feature based statistical arbitrage model whichforecasted refined product spread prices across futures curve using Python● Established new broker relationships for the acquisition of market information and paper flow● Managed, hedged and reconciled futures and swap positions across energy product curves

● Founded proprietary refined energy desk (after spending 2 years with natural gas operation)● Established strong personal and business relationships with many OTC brokerage firms● One of the top market makers by volume in OTC refined product futures spreads for over 4 years.● Managed, hedged and reconciled futures and swap positions across crude, refined and natural gas products● Developed pricing/hedging model for OTC block trades● Developed and traded HFT arbitrage models for nat gas and crude product futures● Experience hedging large natural gas futures books using seasonal PCA model● Traded electronic mean reversion based wheat basis trade● Helped develop and traded a covariance feature based statistical arbitrage model whichforecasted refined product spread prices across futures curve