• Manages a team of 6 remote business analysts executing ad-hoc and strategic data initiatives, working across Jira, Github, Snowflake, MongoDB, and Domino Data Labs to collaborate and deliver impactful data products for internal stakeholders• Developed a consumption forecasting model that scalably forecasts product usage for four unique products across 1,500+ corporate customers, enabling proactive communications around over- or under-consumption• Led project to identify leading quantitative indicators for customer churn risk, leveraging product usage and login data to classify healthy behaviors and abnormal activity and proactively alert Customer Success

• Developed algorithmic method of forecasting sales revenue via an ensemble model composed of a LightGBM decision tree outputting probabilities of deal closes, regression-based estimates of unseen in-quarter revenue, and Facebook Prophet-driven time series forecasts of usage product trends• Conducted several bespoke analyses leveraging a wide variety machine learning and statistical methods to investigate customer retention and renewal trends, surfacing myriad leading indicators to watch for customer health and success; unilaterally developed and packaged said analysis into a quarterly executive-level report investigating topics such as retention, product upsells, customer clustering, and customer health• Re-engineered team's methods of interacting with and querying Mongo unstructured databases via Python modules, establishing standards and scripts for and pulling common data pulls

• Worked on-site with UK clients to transform an in-progress 200,000-user client IT migration through deployment of a SQL database and simplified UI, generating over $500k in cost savings and hundreds of man-hours in efficiency• Improved client service levels by 10-15% and reduced KPI failure rates through recommendations derived from large-scale process mapping, natural language processing (NLP), and interactive dashboarding to identify recurring issues• Identified the root cause of a massive client network failure by parsing and analyzing +6 million server log entries with PySpark, developing a network map, and creating split-second outage visualizations • Optimized call center operations through detailed analysis of second-by-second call data, leading to a reduction of costs by 20%-40%; developed the framework for a volume forecasting model for incoming calls, sampling various time-series techniques for predictive ability

• Trained machine learning classification algorithms on U.S. county-level data scraped from the internet to identify counties most at risk for elevated teen pregnancy rates; created an interactive D3 visualization to convey results and highlight key risk factors.• Generated a word vector model in Gensim using 1M+ tweets pulled from the Twitter API to analyze emoji usage and quantitatively classify emoji sophistication for use in social media analysis• Created a convolutional neural network tool using Keras/Tensorflow for image recognition to help small businesses track and manage their social media visibility by identifying both the company logo in hashtagged photos, as well as potential brand ambassadors based on the "tone" of non-logo photos• Developed unique features to train dynamic linear regression models in scikit-learn on data scraped from the internet to predict movie performance on a domestic gross and return-on-investment basis

• Performed comprehensive data analysis on topics such as global credit issuance, hostile M&A success rates, trading volatility, and global dark pool and high-frequency trading (HFT) opportunities to assess the industry and identify investment opportunities• Communicated regularly with company management teams and investment clients to answer detailed questions, fulfill bespoke analysis requests, translate analysis results, and provide brief, impactful investment ideas• Created 16 company earnings models with discounted cash flow and sensitivity analyses; maintained over 25 earnings models with up-to-date financial data and business metrics for investment analysis

• Routinely communicated with line-of-business CFO’s and MD’s regarding planning & analysis data; compiled presentations on this data to be seen by high-level mortgage banking executives• More than doubled team’s Executive Monthly Report (EMR) output utilizing advanced Excel techniques to automate, streamline and standardize reporting processes while shortening the preparation and delivery timeline• Aided in the construction of a high-level expense sensitivity tool used in both internal and federal capital stress-test submissions for an expense base of over $1B and headcount of over 10,000

• Singlehandedly created, managed, promoted, and hosted a dynamic and popular weekly trivia event for capacity crowds• Leveraged social media and graphic design programs to promote event both digitally and in print; solicited donations for event prizes from local businesses• Generated over 50 unique trivia questions per week, including audio clips and photographic trivia• Maintained a running total of weekly, semester, and year-long team scores and statistics with a complex, automated Excel file

• Aid in the management of a $2m portfolio through the application of real‐world valuation models and equity analysis techniques • Individually researched and submitted a quantitative analyst report on Walt Disney Co. that was approved by the Executive Board for full-­position investment • Co-­led seminar for 25 individuals on the Chinese government’s 5-­year plan to encourage growth in their service sector • Created an Excel-based dynamic candlestick chart template using VBA and web queries; conducted a class for 25 individuals on Japanese candlestick charting techniques

• Worked in a team with two Brazilian students to advise a mid-­size Brazilian promotions business on the Brazilian corporate tax environment • Adapted to and overcame limited knowledge of Portuguese to conduct research and communicate in native language • Independently visited the Mamirauá Sustainable Development Reserve in the Amazonian interior to gain further insight into emerging-­market sustainable development methodologies and best practices

• As battalion chief self-defense instructor, certified over 1,500 soldiers in Level 1 Army Combatives for deployment; designed dynamic training curriculums to engage students and ensure proper techniques were retained • Operation Enduring Freedom – Khowst, Afghanistan - Humvee driver and radio operator for battalion operations officer; effectively maintained communications between command elements, succinctly conveyed real-time intelligence to superiors, responsible for vehicular and general equipment maintenance and readiness• Operation Iraqi Freedom – al Musayyib, Iraq - .50-caliber machine gunner, Humvee driver, radio operator; in addition to the duties listed above responsible for weapons proficiency and maintenance as well as situational awareness on prolonged patrols