Experienced data science and policy leader with nearly a decade of expertise in utilizing data analysis, engineering, user research, and strategic partnerships to deliver impactful solutions at the intersection of technology and policy. Currently serving as Staff Data Scientist at LinkedIn, overseeing the creation of scalable, policy-relevant data products informed by the Economic Graph to shape global decision-making on pressing social and economic issues. Contributions have driven transformative outcomes, earning LinkedIn recognition as a premier labor market data partner for multilateral organizations such as the World Bank and OECD, policymakers, and commercial stakeholders. Spearheaded notable projects directly leading to multimillion-dollar revenue streams, improved EGRI data foundations, and insights into critical domains such as AI, cybersecurity, and the green economy. Leadership extends to mentoring cross-functional teams and navigating complex regulatory landscapes to ensure operational excellence and foster innovation. Ability to interface with high-level policymakers, deliver robust data-driven insights, and lead diverse teams while committed to advancing organizational vision, driving impact, and cultivating partnerships that unlock new opportunities for growth and influence.
Data Analysis
Data Engineering
Trino/Presto
SQL
R programming
Business requirements gathering
Large dataset manipulation
Time series analysis
Team collaboration
Spark
Hadoop
Hive
Airflow
Azkaban
SQL databases
Python programming