● Streamlining data processing workflows within a multi-petabyte hybrid data lake ecosystem based on a medallion architecture, enhancing efficiency and scalability for improved data management and analysis including AI + ML models

● Developing a clickstream data system, utilizing Python, Spark, and SQL with Adobe and Databricks, pivotal in advancing analytics capabilities for monitoring and optimizing customer experience across ALL digital products

● Leading cloud migrations for critical pipelines supporting reports covering payment services used by 4000+ dealerships and global online service scheduling

Command and Data Handling Team Member

Developing flight software using NASA’s F Prime framework and C/C++ for a CubeSat mission (SCOPE)

Conducted a statistical data analysis of switchbacks in the young solar wind using magnetic and plasma measurements aboard NASA's Parker Solar Probe. Credited in publication “Magnetic Switchbacks Heat the Solar Corona” (Akhavan-Tafti et al. 2022) in the Astrophysical Journal Letters.

● Utilized IDL/Matlab to process and create new analyses of data encompassing eight 40-day encounters with the sun

● Developed procedure that abstracted the data processing method to work with data from other space missions such as ESA's Solar Orbiter.

● Presented poster and findings at Parker Two conference.

● Created a ML algorithm that clustered customer lead + feedback data from salesforce to better generate ad copy.

● Collaborated cross-functionally with the design, marketing, sales, and development teams to deliver UI/UX

solutions that improved conversion rate by 40% on landing paid pages.

● Leveraged A/B tests, data analytics, and user data to experiment with web elements and enhance their impact on conversion rate and user retention.

● Ideated, designed, and implemented experiments in HTML and CSS