Dennis S.

• Leading AI implementation for a law firm specializing in hospital revenue cycle management cases • Collaborating with an AI startup to design a tailored AI platform, boosting firm productivity. • Architecting an end-to-end AI-first legal platform while ensuring compliance with HIPAA and NIST standards

• Led enterprise Data Science & AI strategy across a private-equity portfolio with multiple acquired companies (5-hour Energy, ShopHQ, NewsNet and others) • Managed and developed an agile data science and data engineering team (3-4 people) using a DDS (Data-driven scum) approach • Directed legacy platform migrations to Microsoft D365 and Shopify, including data, analytics and AI modernization initiatives. • Headed the design, build and deployment of an LLM-based AI agentic workflow that reduced purchasing workload and cycle time, enabling ShopHQ to reduce purchasing team headcount by 50% • Designed and shipped a GenAI news-writing web app for NewsNet (patent pending) that automated article creation at scale and allowed 20 writers to shift responsibilities to higher-margin work • Delivered executive and operational reporting using Power BI, real-time Excel spreadsheets, and Azure-native analytics services (Azure Logic Apps, Azure Data Factory, Azure Databricks) • Identified $20M+ in trade-promotion inefficiencies for 5-hour Energy via ML-driven analysis • Served as senior analytics leader during M&A activity, assessing legacy systems and driving automation and standardization • Led a 3-person Data & AI team for SI Capital, a family office with $5B AUM • Established and trained team on low-cost patterns for big data ingestion (terabytes daily), real-time machine learning solutions, and historical stock data analysis around SP500 options • Identified multi-million-dollar trading opportunities through backtesting, feature engineering, and machine learning to translate research into actionable decision support • Designed and led development of real-time dashboards to quickly identify trading opportunities • Developed a RAG-based LLM workflow to analyze filings, reports, and research, supporting due diligence and $100M+ investment decisions. • Automated regulatory reporting pipelines to and from FINRA and the OCC, eliminating manual effort and reducing risk

- Led a Microsoft team of 8 in a migration project for a manufacturing customer to move their entire machine learning stack, including dozens of running models, from on-prem SAS to Microsoft Azure - Designed, developed, and led implementation (10-man team) of an AI solution training thousands of ML models for a popular restaurant chain to forecast demand on an hourly basis across the U.S. - Architected Data, AI and Analytics solutions using Microsoft Azure for Fortune 500 customers - Wrote “Automated Machine Learning with Microsoft Azure,” a 300-page book for Packt.com - Instrumental in helping Microsoft obtain deals with customers worth a total $74 million - Helped secure a $65 million deal with a Fortune 100 customer in manufacturing - Won a $9 million deal with a top-tier customer in retail over GCP - Designed a cloud-agnostic end-to-end data analytics platform for a top-tier financial services firm - Won a Microsoft Hero Award for helping a customer work through numerous data science projects - Trained Fortune 500 data scientists in Python, Azure Machine Learning, AutoML and Data Factory

Marketing, Sales and Services Analytics - Received Top Achiever recognition in 2018 in Marketing, Sales & Service Analytics - Created a Qlikview Marketing, Sales and Service Dashboard Suite, saving Ford an estimated 100,000 man-hours a year of manual report generation - Created Modem Activation Dashboard Solution to increase customer modem activation rates, quadrupling Ford modem activation rates from 15% to 60% in a single year - Created Modem Reconciliation Solution saving estimated $150k annually up to $400k in five years - Created an end-to-end Machine Learning solution to predict Urban Science Market Share data using JD Power data to help Ford decide where to allocate billions of customer incentive spend - Led analytics training boot camp for hundreds of Ford employees in Alteryx, Qlikview, and ML

- Write Blog Articles focused on international development - Write Magazine Articles focused on celebrity charity - Promote The Borgen Project's anti-poverty work - Fund raise for The Borgen Project

• Worked on a data science project for U.S. Customs and Border Protection • Developed a framework to detect gain drift in Radiation Portal Monitors (RPMs) • Researched scientific literature relating to latest anomaly detection techniques • Coded different anomaly detectors in MATLAB (Multivariate CUSUM, EWMA, etc.) • Worked on a team to construct an object-oriented evaluation framework • Debugged, optimized and expanded the evaluation framework in MATLAB • Evaluated the different types of anomaly detectors using the framework • Sought end users for an Auton Lab Tool (Preliminary Business Development) • Cold called data analysts in a variety of industries, including crime analysts • Cleaned raw publicly available crime data using Perl and R • Analyzed crime data using Collective Mind Data Server (CMDS), an Auton Lab tool • Gave presentations to law enforcement officials to interest them in CMDS

• Predict success of foreign players in the NBA with analytics for a pro NBA team in R • Forecast U.S. economic growth for the White House Office of Science & Technology Policy • Make suggestions to improve Trade Adjustment Assistance for the Commerce Department • Presented findings at the Association of Public Policy and Management’s (APPAM) 2014 international conference, The Decline of the Middle Classes Around the World • Served as Team Leader for all three client projects and many class based projects, including: • Create a data warehouse using publicly available H1B visa data with SQL Server 2012 • Show how fast food access affects obesity using Geographic Information Systems (GIS) • Model a city’s decision to upgrade a car fleet using Decision Science techniques in Excel • Create a predictive model for helpful employee forum suggestions in R • Create a predictive model for U.S. home ownership using financial data in Weka and R • Estimate the wage gap between men and women using publicly available data in R • Teaching Assistant for professional writing, international policy and database management • Grader for Introduction to Statistics • Graduated with highest honors

• Hired as the Chamber’s inaugural Larry Liebenow Fellow to promote international trade • Played a key role in the Chamber’s effort to reauthorize the Export Import Bank (Ex-Im) • Interviewed company presidents, CEOs and CFOs about their use of Ex-Im Bank • Wrote Ex-Im success stories and posted them on the Chamber website • Met with Congressional staff to lobby for Ex-Im Bank reauthorization • Researched and explained the benefits of free trade agreements to the U.S. economy • Wrote numerous blogposts for the U.S. Chamber of Commerce promoting free trade • Discovered the U.S. ran a trade surplus with free trade partners in 2012 and 2013 • Created a 50 slide PPT presentation detailing the benefits of free trade and TPA

• Scouted Japanese finance professionals through cold calling and networking • Promoted to consultant for scouting 225 candidates within six months • Entered candidate data into a database and updated candidate information • Specialized in scouting equity analysts and economists for fortune 500 companies • Successfully placed 6 candidates earning 14 million yen revenue • Won company awards for monthly metric-based achievements • Developed new client relationships and negotiated contract terms • Translated resumes from Japanese to English and vice versa

• Taught English to 160 Japanese students at a private school

Graduated with Highest Honors and Highest GPA in Program - Created classification model for Phoenix Suns NBA team to improve player hiring - Forecasted economic growth for White House Office of Science & Technology Policy - Crafted Trade Adjustment Assistance (TAA) policy for U.S. Department of Commerce - Served as Team Leader for all projects listed above