• In my current role, I lead the Institutional Advice Analytics team in defining strategic priorities, implementing optimized processes, and nurturing talent through development initiatives.• Lead and empower a team of data scientists, analysts, and leaders delivering data-driven insights that enhanced strategic decision-making and improved business performance. • Orchestrate the development of foundational data capabilities (tables, dashboards, advanced analytics) and implement data-driven marketing campaign experimentation processes. • Foster a high-performing team, exceeding individual performance goals and prioritizing professional development.

• Led and empowered a team of six data scientists and analysts, delivering data-driven insights that enhanced strategic decision-making and improved business performance. • Orchestrate the development of foundational data capabilities (tables, dashboards, advanced analytics) and implement data-driven marketing campaign experimentation processes. • Foster a high-performing team, exceeding individual performance goals and prioritizing professional development.

Courses Taught:• Building and Leading Data Organizations (Fall 2024) - A new class I've proposed and built, this course provides a comprehensive overview and practical guide to building and leading data organizations that drive business value. It explores the key strategic, operational, and leadership challenges involved in managing people, data, and information assets. To effectively manage and use their data, companies need to be able to develop a comprehensive data strategy, implement data governance frameworks, build a data-driven culture, anduse data analytics to solve business problems. This course covers these topics in depth, providingstudents with the knowledge and skills they need to build and lead successful data organizations. Section 1 – Laying the Foundation • Introduction to Data Organizations • Data Management and Strategy • Data Governance and Metadata Management • Data Engineering and Warehousing • Driving Business Value - Analytics and Data Science • Data Ethics, Privacy, and Security Section 2 – Building Data Organizations • Building a Strategy • Developing Processes • Hiring Data Talent Section 3 – Leading Data Organizations • Leading Data Talent • Effective Change Management • Scaling Data Organizations • Measuring the Value of Data & Insights • The Future of Data Organizations • Case Studies of Successful Data Organizations • Capstone Project• Visual Analytics and Storytelling (Fall 2023) - A core course in the graduate program, this class is designed to equip students with the skills necessary to create impactful data visualizations with tools like Tableau, Power BI, and Python. It introduces the field of visual analytics, which integrates interactive analytical methods and visualization, and utilizes this to build analytical stories that influence decision makers.

• Spearheaded data science initiatives by leading a team of data scientists and analysts. Effectively delivered projects that were clearly communicated and prioritized business value, timely delivery, and technical excellence.• Implemented Hive data management platform, enabling comprehensive project oversight for both team members and business leaders. This initiative improved transparency and communication, ensuring optimal alignment with organizational priorities.• Championed data governance by administering Tableau Server and establishing robust permission and security protocols. This proactive approach protected sensitive information and streamlined data access, empowering team members and facilitating data-driven decision-making.• Cultivated a learning-oriented environment by fostering continuous upskilling within the team. Guided members in pursuing professional goals through personalized development plans and facilitated access to relevant training resources, empowering them to excel in their roles.

• Guided and mentored a team of two Senior Data Analysts, fostering their professional development and contributing to their increase in productivity.• Spearheaded a data cleansing and standardization project for a new carwash division, enabling accurate analytics and model building. • Developed a customer segmentation algorithm using k-means clustering, driving targeted and personalized marketing campaigns.• Built and deployed a customer churn model to understand member retention and allow for proactive marketing campaigns for high-risk customers.• Architected and maintained a Neo4J graph database, uncovering hidden patterns in customer behavior and optimizing marketing campaign outcomes through targeted customer journeys.

• Pioneered the establishment of the Analytics Center of Excellence, fostering cross-functional collaboration and driving enterprise-wide data adoption.• Directed a team of data engineers in building a centralized data lake, enabling scalable data access and analysis• Partnered with business leaders to define key performance indicators (KPIs) and spearheaded the automation of reporting processes, eliminating manual tasks and freeing up analyst time for deeper analysis.• Developed and implemented an ARIMA time series model for revenue forecasting, achieving time savings and empowering data-driven business decisions.• Built and deployed a backlog classification model using XGBoost, predicting on-time shipment likelihood. This enabled proactive intervention for at-risk items.• Leveraged Mendix to create an intuitive online data portal, equipping business leaders with self-service access to datasets and dashboards

• Spearheaded the adoption of a comprehensive analytics program: Defined key performance indicators (KPIs), established data ingestion pipelines, built business intelligence dashboards, facilitated ad-hoc analyses, and implemented predictive models for the line maintenance program.• Leveraged data analysis to pinpoint the hour with the highest potential for delay reduction at each airport. Partnered with local management to develop and implement targeted action plans, achieving a 30% reduction in delays during that critical hour.• Provided guidance and support for junior analysts, enhancing their analytical skills and contributing to their professional development.• Analyzed revenue collection rates and bag fee waivers, uncovering key opportunities for revenue generation. Developed and presented data-driven project proposals, including military ID training initiatives projected to yield an annual revenue increase of $11 million.

• Spearheaded cross-functional initiatives to revamp airport vendor performance. Consolidated, replaced, and optimized vendors across ramp, passenger service, and cabin appearance at thirty five stations, leading to significant improvements in efficiency and customer satisfaction.• Defined and tracked key performance indicators (KPIs) across seventy stations, enabling data-driven monitoring and improvement of vendor performance across ramp, passenger service, and cabin appearance. This comprehensive approach facilitated strategic decision-making and targeted interventions.• Developed business case justifications through financial analysis and forecasting for new and recurrent contracts.

• As a non-Commissioned Officer in the 3d U.S. Infantry Regiment (The Old Guard) I led a team of soldiers to successfully execute diverse independent missions.• Implemented effective training programs and conducted comprehensive performance reviews for five direct reports, ensuring sustained high performance.• Contributed to the historical event of President Barack Obama's inauguration through leadership and tactical execution within the Old Guard unit.