Resume
Andrew Abrahamian
Data Science, Corporate Strategy, & Market Intelligence Leader
Machine Learning | Forecasting | Trusted Advisor to Executive Stakeholders
Analytical & Strategic Capabilities
- Ability to integrate diverse data and communicate actionable insights to executive decision-makers.
- Development of machine learning models for market sizing, forecasting, and segmentation.
- Effective use of data science to ingest, analyze, and visualize complex datasets.
- Experienced contributor to data science, market intelligence, and competitive strategy communities at Intel and Meta.
- >10 years' experience in consulting, corporate strategy and analytics, market intelligence, and data science.
- Graduate degree in data science, specializing in NLP, ML systems engineering, and generative AI.
Work & Leadership Experience
Meta Platforms
Remote, MA
AI Infrastructure Market Intelligence Lead, Infrastructure Intelligence
October 2025 - Present- Led development of Meta's AI lab and hyperscaler capacity forecasting model and executive dashboard, enabling real-time benchmarking accessed by the VP of Analytics, COO, and CEO Staff to inform Meta's multi-GW capacity expansion and >$100B of infrastructure capex.
- Led a cross-functional AI hardware intelligence network spanning silicon design, hardware engineering, capacity planning, and finance teams to drive alignment on GPU/accelerator roadmap planning, sourcing strategies, and cost benchmarking vs. peers.
- Developed analytics pipelines to ingest and benchmark third-party data against Meta capacity actuals, improving accuracy of peer capacity modeling while reducing API access costs and increasing utilization of >$1M in data and research subscriptions to inform procurement and infrastructure capital allocation decisions.
- Advised Meta's Board of Directors on peer AI infrastructure strategies, including build-vs-lease decision-making and compute efficiency benchmarking to inform discussions on Meta's competitive positioning and investment priorities.
Intel Corporation
Remote, MA
Senior Manager, Competitive Strategy & Analytics, Corporate Strategy Office
May 2021 - October 2025- Developed and managed Intel's AI and GPU Forecasting Model, delivering analytics and insights to support decision-making for GPU/AI product roadmaps, demand and revenue targets, capacity allocation, and platform R&D investments.
- Acted as a trusted advisor to Intel's CEO and executive leadership team, helping secure funding for GPU product roadmaps, AI software R&D spending, and two large enterprise AI partnerships.
- Led monthly AI and GPU market analytics and insights reporting to over 2,000 employees and Intel's executive leadership team, with topics spanning competitor quarterly earnings and events, business and technology strategy, and industry trends.
- Saved over $2.5M in consulting fees by pioneering a novel internal consulting model with a cross-functional team to deliver comprehensive R&D spending and headcount benchmarks to Intel's executive leadership team.
Manager, Market Intelligence, Data Center Group
December 2017 - May 2021- Project manager and technical lead for the Intel Data Center Group's Market View model, the one source of truth for Intel's data center and AI TAM for executive leadership and the primary input to Intel's long-range planning process.
- Developed analytical tools to build end-to-end forecasting workflows in R, Python, and SQL; communicated forecasting results and insights to executive leaders in finance, product, and sales operations.
- Led a team of 6 analysts, establishing model process workflows and critical milestones; coordinated model reviews with internal and external stakeholders; supported analysts' skill development in technical capabilities, business acumen, and executive communications.
International Planning & Research
Waltham, MA
Senior Consultant
June 2017 - December 2017Consultant
March 2016 - June 2017Research Analyst
September 2014 - March 2016- Project manager and lead analyst of competitive intelligence project for two separate million-dollar consulting engagements with global technology clients.
- Combined statistical modeling techniques and domain knowledge to forecast cloud infrastructure and software markets; client used model output to inform sales targets across market segments and regions.
- Designed and developed data visualization tools and dashboards in R, Excel, and SAS that were used by clients to summarize and explain high-dimensional datasets.
Education
University of California, Berkeley School of Information
Berkeley, CA
Master of Science in Information & Data Science (MIDS)
- GenAI-powered insights for retail investors: Divitiae.AI: Democratizing Financial Data with Generative AI.
- Deploying AI model containers to Azure: Deploying FastAPI ML App in Kubernetes to Microsoft Azure.
- Improving NLP summarization models for company earnings calls: ECTQA: Expanding Earnings Call Transcript Summarization.
Boston University Questrom School of Business
Boston, MA
Bachelor of Science in Business Administration, Magna Cum Laude
- Study Abroad: University College Dublin - Quinn School of Business, Spring 2013.
Skills, Activities & Interests
- Technical Skills
- R, Python (Pandas, NumPy, scikit-learn), PyTorch, TensorFlow/Keras, Hadoop/MapReduce, Databricks, Spark, PostgreSQL, NoSQL (MongoDB, Redis), Git/GitHub, Bash, Docker, Kubernetes, SAS, Excel, PowerPoint, Word, VBA, PowerBI/Tableau, Cloud (AWS, Azure, GCP)
- Languages
- Fluent in English, limited proficiency in Mandarin Chinese
- Interests
- Volleyball, basketball, weightlifting, traveling, playing piano and guitar, reading