Senior Analytics Engineer @ LinkedIn
New York, New York, United States of America
Senior Analytics Engineer @ LinkedIn
New York, New York, United States of America
JAN 2025 - PRESENT · 1.7 years
Senior Analytics Engineer
JAN 2025 - PRESENT · 1.7 years
• Overhauled most resource-intensive LMS insights tools through Python and SQL optimizations, reducing runtimes from 80+ to under 15 minutes (−80%) and cutting CPU usage by 95%. These improvements enhanced reliability for 1000+ sales reps (~3K monthly runs) linked to $500M+ in revenue. • Built and shared a performance-tuning framework adopted across multiple analytics teams, reducing compute load by 30% and establishing best practices for code efficiency and automation. • Architected and redefined the Conversions API (CAPI) report, expanding scope from basic optics reporting to a scalable offline-signals platform that measures true ROI across campaigns. This project directly supported LinkedIn’s “Outcomes, not Optics” initiative and became a reference model for future analytics products. • Recognized as an SME for CAPI, Offline Signals, and Measurement; frequently partner with Measurement, Analysts, Product, and Engineering stakeholders to align on data integrity, reporting feasibility, and long-term strategy. • Led the global Sponsored Messaging migration, collaborating with cross-functional teams to ensure accurate backfilling, downstream reporting consistency, and data completeness across insights organizations. • Co-led the technical hiring process for new Insights Analytics Engineers; designing interview questions, creating evaluation rubrics, and standardizing the process now used for future headcount. • Mentored interns on how to approach and tackle tough analytical and technical problems; fostering structured problem-solving and strong data intuition early in their careers.
JUN 2020 - MAY 2024 · 4 years
Senior Data Scientist
JUN 2021 - MAY 2024 · 3 years
• Created a new Affinity model used Nike-wide to target and personalize experiences for members across the world. Upgraded model cuts processing time down by over 70%, enables quick affinity edits based on business logic, and delivers smaller, more precise audience segments for marketing teams leading to improved targeting accuracy. • Developed an Ad-hoc Affinity framework enabling marketers to create highly-targeted audiences in under 10 minutes, achieving a 93% improvement in speed. This innovation is projected to drive an annual revenue increase of $14 million. • Expanded the Sustainability Affinity model to include opt-in recycler flags and new product lines, increasing the audience cohort by over 2 million (+17%). • Piloted and led numerous data migrations by organizing data and model testing plans, coordinating with AIML teams on production jobs, and resource planning for upgrades between platforms • Developed Replenishment model to identify members that are most likely to engage in repeat purchases • Created churn model for Nike App to identify healthy, at risk, and disengaged members using advanced metrics. Resulted in over 97% jump in correct churn predictions and incorrect churn predictions dropped 66% • Piloted and led numerous data migrations within Consumer Data Science org by organizing data and model testing plans, coordinating with AI/ML engineering on production jobs, and resource planning for upgrades between platforms
Data and Personalization Science Intern
JUN 2020 - AUG 2020 · 3 months
• Collected, cleaned, enriched, vectorized, and downsampled data in Databricks for model input including numerous previously unused features that played a significant importance when modelling
JAN 2020 - JUN 2020 · 6 months
Data Engineering Intern
JAN 2020 - JUN 2020 · 6 months
• Generated Python scripts for ETL pipeline to import data into staging tables based on project interface requirements for various subsystems • Designed and wrote DDL for staging and star-schema warehouse tables in Oracle database • Created numerous PL/SQL procedures to validate, map, and import data into warehouse tables • Produced Tableau visualization workbook based on imported data for each file type joined to related data
JUL 2017 - JUN 2019 · 2 years
Project Manager
JUL 2017 - JUN 2019 · 2 years
• Developed and edited complex SQL stored procedures, table functions, views and tables to feed custom panels, dashboards, workflows, reports, and email notifications to replace client’s Excel generated sheets and reports • Led team as primary project manager on several high-priority clients; facilitated project team resources appropriately to meet deadline reducing client feedback and delays; analyzed business process and directed scoping sessions with clients
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