EDUCATION
Engineering foundation, business lens, built in that order.
UT AUSTIN
MBA · Product Management & Strategy
2024–2026
SQL for Business and Marketing
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Applied SQL to extract, analyze, and interpret business data, building hands-on proficiency in querying centralized data warehouses to surface actionable insights.
Business Analytics and Decision Modeling
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Used quantitative modeling techniques to support complex business decisions, applicable to evaluating integration options and measuring enterprise system performance against defined KPIs.
Statistics
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Applied quantitative methods including hypothesis testing and regression to business problems, building the data-driven decision-making foundation needed to identify opportunities and measure product outcomes.
Data Storytelling and Visualization
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Developed the ability to translate complex data into clear narratives for executive and cross-functional audiences, essential for communicating integration progress, priorities, and results to leadership.
CRM and Database Marketing
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Studied how customer data is structured, stored, and activated across enterprise systems, with direct application to data centralization strategy and integration platform design.
AI for Competitive Advantage
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Examined how organizations deploy AI to create operational leverage and differentiation, with direct application to identifying where AI-powered tools can automate enterprise workflows.
Operations Management
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Studied process design, bottleneck analysis, and workflow optimization across organizations, directly applicable to mapping and improving enterprise workflows across integrated tools.
Financial Management
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Built frameworks for evaluating investment decisions and resource allocation under uncertainty, applicable to buy vs. build analysis when assessing third-party enterprise tools.
Analysis of Markets
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Examined competitive market dynamics and vendor positioning, providing a structured lens for evaluating third-party integration partners and enterprise software providers.
Performance Management and Control
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Examined how organizations define, track, and act on performance metrics, relevant to owning success measures across a data and integration platform and ensuring accountability across stakeholders.
Board Fellowship · Wonders & Worries
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Served as a board member at a children's nonprofit, developing an expansion model and improving provider recruitment strategy to support organizational growth.
HOWARD UNIVERSITY
B.S. Computer Engineering
2017–2021
Introduction to Computer Networks
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Studied network architecture, protocols, and data transmission across distributed systems, building foundational understanding of how enterprise systems communicate and where integration points break down.
Computer Science I and II
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Developed core programming skills in algorithm design and data structures, forming the technical basis for evaluating API design decisions and understanding engineering tradeoffs in integration work.
Artificial Intelligence
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Explored machine learning model design and the role data quality plays in system performance, directly relevant to building reliable data pipelines and understanding where upstream decisions affect downstream outputs.
Fundamentals of Signals and Systems
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Analyzed how data flows and transforms across interconnected systems, building intuition for how information degrades or gets distorted across integrated platforms.
Embedded Systems Design
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Designed and implemented systems under hardware and software constraints, developing an engineering mindset around performance, reliability, and real-time data handling.
Computer Organization I
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Examined how hardware and software interact at a systems level, providing grounding for evaluating technical tradeoffs in platform architecture and integration decisions.
Circuit Theory
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Analyzed electrical circuits and system behavior under varying conditions, building foundational reasoning skills for understanding how signals and power flow through interconnected components.