Experience

Promoted to Sr Data Scientist in 2016, Staff Data Scientist and Manager in 2018

Developed with two ads relevance engineers a prototype of an offline model for ads quality, which provided actionable advertiser insights and improved customer satisfaction
Ensured revenue goals met after the launch of the flagship mobile re-vamp, by working with a team of 10 engineers and three PMs to triage tracking bugs, identify changes to user engagement, and propose changes to relevance model
Defined a ROI metric for the release of the Conversion Tracking product, presented findings to VPs of business unit, and established metric as a true north metric for the business
Created internal data product for the sales team to track high potential leads, and be quickly alerted of potential issues with existing customers. Gained 75% penetration in global sales team within first quarter of launch
Created a LTV model that aligned marketing and sales efforts internally. Interviewed internal marketing, sales, and FPA customers to understand use cases. The model improved accuracy of Sales Ops’ book and quota planning by ~20% and improved Return on Ad Spend assessment by ~15% for Marketing’s acquisition efforts
Conceived and influenced BU leadership team to conduct the first ever A/B test on the sales org, which measured ROI for new sales programs designed to grow the SMB market
Owned the strategic plan to create sales data and productivity tools, which secured 3 headcounts for data science team

Promoted to Team Lead in 2015

Analyzed customer needs for ad inventory management. Developed educational workshops for sales and product marketing. Guided product team to launch a change in auction mechanism, and A/B test automated price floor changes
Worked cross functionally to launch first combined MoPub and Twitter offering post acquisition, the Twitter Audience Platform, which generated $XXM run rate in the first quarter
Optimized product performance for the launch of Native Ad Serving and Private Marketplace through KPI tracking and customer interviews
Managed third-party analytics vendor relationship. Analyzed internal and external clients’ needs, specified changes to the product which increased usage by 3X

Promoted to Associate Consultant in 2013

Conducted focus groups interviews and implemented customer surveys for major retail company. Created segmentation framework to identify customer needs and pain-points. Presented recommendations to c-suite, which shaped marketing efforts for upcoming holiday season and determined the closing down or renovation of 800 US stores
Created analysis that identified target customer segment for a major insurance company. Achieved company sign-off. Implementation of model enabled company to execute on 2013 strategy to activate target segment

Education

Chosen by a group of social impact VCs as the winner of Social Impact Disco competition for "Cottage" (a platform to increase housing supply in the Bay Area by improving the liquidity of Accessory Dwelling Units)
Member of Tech Club, Redwoods@Haas, Entrepreneur Club

XGBoost, Random Forest, k-means clustering, time-series prediction

A/B testing, power analysis, cross-sectional analysis and burn-in curves

conducting focus groups, customer surveys

SQL, Python, Python Pandas, Hive, Presto, Pig, Spark, Tableau, Excel, Jupyter notebooks

leading sprint planning, strategic reviews, design thinking ideation sessions