Data Engineer from Portland, Oregon.

I am passionate about the intersection of data privacy, technology, and policy.

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Education
Work
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About

a

Hi, I am Alyssa Huque.

I currently work in Nike's Data & Analytics department as a Data Engineer. My team oversees the development and maintenance of data infrastructure focused on understanding how Nike and its competitors are performing in the marketplace through marketshare, financial trends, and consumer perception.

Prior to Nike, I achieved dual Bachelor of Science degrees in Mathematics & Computer Science and Political Science at the University of Oregon.

Since graduating, I have diversified my skill set through roles in supply chain analytics, financial compliance, and, now, data engineering.

Outside of my professional pursuits, I spend my time reading, swimming, and playing soccer.

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Education

E

University of Oregon, 2017-2021

B.Sc. Political Science
B.Sc. Mathematics & Computer Science





Certifications

C

Stanford University, 2024

Ethics, Technology, and Public Policy for Practitioners

Issuing body: Stanford Engineering Center for Global & Online Education


Harvard University, 2024

Philosophy, Ethics, and Technology

Issuing body: Harvard Business School Online

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Work

w

Data Engineer, Nike

March 2024 - PRESENT

  • Team lead managing engineering roadmap and resourcing for business critical projects
  • Responsible for data infrastructure for Nike consumers analytics
  • Managed communications and technical requirements with cross functional stakeholders and over ten external vendors

Data Engineer, Nike

March 2023 - March 2024

  • Managed data infrastructure and analytics for Nike consumer surveys and reviews to understand consumer perception in marketplace
  • Snowflake warehouse admin, responsible for maintaining efficient storage and optimizing performance resulting in an average annual cost savings of $55K
  • Host and moderator of biweekly Data Tech Forum

Associate Financial Compliance Analyst, Nike - Rotation III

September 2022 - March 2023

  • Worked in Corporate Information and Security to ensure IT security met financial compliance regulations
  • Developed a POC to automate the detection of security vunerabilities in databases
  • Validated and documented security automations to increase the efficiency of audits as required by the Sarbanes Oxley Act

Associate Data Engineer, Nike - Rotation II

March 2022 - September 2023

  • Owned data pipelines to identify shopping and movement trends within Nike stores
  • Reengineered raw data into Hive tables for downstream business insights on inventory decisions & store locations
  • Developed aggregate layer to automate quarterly & monthly reports for over 1,000 Nike stores to identify business trends

Vice President of Engineering, Ayuda Software

October 2021 - August 2022

  • Ayuda is a series A funded startup
  • Responsible for technical infrastructure of Sayin', a data-driven healthcare product that improves individuals' access to behavioral healthcare facilities by creating a single environment to find their clinical fit.
  • Responsible for full stack development (TypeScript, CSS, React) and data management (MongoDB, Python, SQL)

Associate Software Engineer, Nike - Rotation I

September 2021 - March 2022

  • Worked in Global Operations & Logistics on the Consumer Order Management and Fulfillment team
  • Developed a Java library to standardize Splunk logs. This allowed business analytics to be done across microservices enabling new fulfillment metrics to be calculated
  • Built dashboards for senior management/VPs to increase observability and monitoring of Nike's consumer order management systems

Mathematics Teaching Assistant, University of Oregon Mathematics Department

September 2020 - June 2021

  • Taught "Math in Society" (MATH105) lab: logic, sets, probability, and statistics
  • Taught "University Mathematics III" (MATH107) lab: tilings and symmetry, voting methods, apportionment, fair division, and introductory graph theory
  • Led math labs, held office hours, and graded exams and homework

Automation Engineer Intern, Nike

June 2020 - August 2020

  • Created a virtual agent to troubleshoot low complexity Excel issues without human interaction
  • Utilized ServiceNow to create two predictive intelligence programs to automatically route Nike internal technology requests to the correct departments
  • Reduced Nike IT routing time by 1,275 hours annually

Artificial Intelligence Research Assistant, University of Oregon Computer Science Department

June 2020 - August 2020

  • Investigated how deep neural networks could be used to improve computer simulations of security game theory focusing on Stackelberg equilibrium under Dr. Thanh Nguyen
  • Conducted literature reviews and tested the processing of data

Informatics Intern, Oregon Health & Science University

June 2020 - August 2020

  • Worked in the Department of Medical Informatics and Clinical Epidemiology
  • Transitioned electronic health records (EHR) used for research purposes to a standardized relational database to improve the quality of data and analyses that come from research and clinical trials
  • Developed a python program to parse EHR and transform the data into the standardized data model for over two million EHRs