Managed the Content Analytics – Programming & Editorial team focused on enabling Music and Podcast Content teams to make informed decisions to improve the curation and distribution of Spotify's Editorial voice. Managed the scope and priorities for the analytics team while working with leadership & global editorial stakeholders to set OKRs, make product recommendations, evaluate content, and regularly present research and insights. Grew the team from one to six, balancing business needs with direct reports' interests and fostering an impactful and collaborative team environment.

Led insights projects in partnership with Spotify's Content, Product, and other Insights teams, bringing together human expertise and machine learning to improve our recommendation systems and editorial programming. Crafted and presented insights to inform music content & product strategy. Helped foster a culture of exploring new areas of research, innovating on methodologies, and solving problems creatively and pragmatically. Also regularly developed & built OKRs, managed stakeholder relationships, ran experiments, evaluated causal impact, built dashboards, and created and delivered global presentations. Onboarded and mentored a rapidly growing team.

Delivered actionable business insights for a wide client base through skilled and innovative data manipulation, analysis, and modeling on large scale transaction data using technologies including Hadoop/Hive, R, & Python.• Produced consumer behavior insights for clients in various industries – analyzing market-level spend patterns and granular shopping journeys and identifying customer segments.• Developed and validated machine learning models, including linear regression and k-means clustering, to answer merchant-specific business questions using Python and R.• Created Tableau dashboards to communicate stories around complex findings, as well as structured back-end data for a client-facing tool built in Tableau for the purpose of segmenting customers and targeting audiences. • Validated measurements and customer profiles from advertising campaigns; created sophisticated post-hoc control groups to measure incremental lift from advertising on treatment group.Previously: Product Analyst (December 2016 - September 2017)

• Achieved Workforce Planning goals for over 1800+ resources by managing to within 5% of year-end target. Self-taught Tableau and built dashboards to communicate workforce projections for SVP and VP's. • Volunteered 10-20% of my time with an adjacent team working on predictive analytics and risk modeling. Created a scoring and segmenting model in R to assign risk scores to network devices. Final UI tool built by the team was pushed out to production in five months for use by network and systems administrators across IT.• Assisted with various projects across financial planning, all-staff presentations, university recruiting, graphic design, and program management.• Finalist in the 2015 Visa Hackathon. In one weekend, our team built a Tableau dashboard for an executive-level audience to monitor crucial system and network metrics, after having cleaned and filtered data from multiple disparate data sources.Previously: Project Support Analyst (September 2015 - September 2016)

The Berkeley Project is the largest student-run community service organization at UC Berkeley www.theberkeleyproject.org. As President, initiated and maintained relationships with key partners in the city of Berkeley and UC Berkeley. Led weekly Core meetings to facilitate executive team-building, efficiency, and spirit. Managed multiple teams and deadlines to oversee project logistics and general event procedures. Previous roles: Marketing Director, Event Planning Co-Director

Increase outreach and awareness by reaching out to local high schools and fostering partnerships between other Cal student groups. Specifically, organized a screening of the documentary The Invisible Red Thread to facilitate dialogue surrounding orphan care in China, adoptee experiences, and adoptive parents' perspectives.