Nov 2024 – Present · 1 yr 6 mos

Nov 2024 – Present · 1 yr 6 mos

• Explore the world of data with Hai, Sravya, and Shane—real stories, industry tips, and career advice! 🎙️ Follow us on YouTube, Spotify, and Apple Podcasts!

Apr 2024 – Nov 2024 · 7 mos

Oct 2023 – Apr 2024 · 6 mos

• Conducted comprehensive spatial and statistical analysis of content distribution, spearheading the 2023/2024 strategy and roadmap to transform neighborhoods to a personalized geofence model, enhancing community engagement. Built machine learning model to optimize geofences on geo relevance, resulting in increase in comments and replies, sessions, Weekly Active Users (WAU), and revenue.
• Conceptualized and implemented Nextdoor's App Release Anomaly Detection system measuring impact of weekly app releases on key metrics across engagement, notifications, and ads. Developed ETL, advanced analytics model, and visualizations in SQL and Python for system integration into the release process, successfully reducing time to detection from 80% release rollout down to 1% rollout. This resulted in catching 20+ app release bugs at low rollout the following year, saving hundreds of engineering hours.
• Led cross-functional initiatives focused on strategic community growth through global neighborhood segmentation, clustering geographies on product penetration and engagement. Utilized causal inference techniques to infer key drivers of community growth leveraging internal product data and external demographic and geographic features.
• Tech lead design, metric definition, analysis, and review of dozens of a/b tests aimed at improving notification engagement, sessions, and WAU - collaborating closely with ML and infrastructure teams.
• Cofounded causal inference committee delivering and reviewing causal studies across the product, leveraging techniques like propensity score matching, instrumental variables, difference-in-differences, and double debiased ML.
• Mentored junior data scientists, fostering growth through regular 1:1s, code reviews, and weekly AI design reviews.

Apr 2022 – Nov 2023 · 1 yr 7 mos

Jan 2021 – Apr 2022 · 1 yr 3 mos

Feb 2018 – Jan 2021 · 2 yrs 11 mos · Goleta, CA

• Conducted impact analysis of pandemic on business through development of forecasting and ML models predicting variances in usage across leasing, renting, and payments. Crafted interactive dashboard with geographic drill-down, enabling leadership to understand regional impacts, guiding customer outreach and product development strategy.
• Solved for inability to customize product to user type by developing data-driven user segments, involving the ETL and clustering of user event data in Python and visualization of output in Tableau. This allowed UX to target specific user types for research and impacted product directly through the creation of specialized permission-based user roles.
• Regularly measured impact of product development on business outcomes through experimentation, as well as inferring causality through econometric methods, such as regressing business outcomes like ARPU, unit acquisition, support case rate, and NPS on changes in customer behavior due to feature development.
• Enhanced the quality, depth, and impact of junior analysts' work by conducting internal courses on 'Introduction to Data Science' and 'Data Storytelling.' Regularly reviewed their analyses and provided critical feedback prior to stakeholder presentations, ensuring clarity, accuracy, and effectiveness in communication.

Aug 2016 – Feb 2018 · 1 yr 6 mos · Chicago, Illinois

• Built large-scale data visualizations in Tableau across various conferences and client engagements. Owned data modeling and visualization for a major telecom supply chain project, identifying $2M of stranded inventory.
• Conducted data visualization training, emphasizing data-informed storytelling and effective visuals, enhancing team's ability to communicate complex analytics insights, improving client engagement and project delivery.

Oct 2015 – May 2016 · 7 mos · Pittsburgh, Pennsylvania

• Taught weekly recitations instructing students on STATA programming and various econometric concepts, including differences in differences, instrumental variables, and regression discontinuity design.

Apr 2012 – Jun 2014 · 2 yrs 2 mos · Tosari, East Java, Indonesia

• Co-founded and directed the Bromo Marathon: Indonesia’s second ever marathon and first ever trail race. Taking place in the villages surrounding Bromo-Tengger-Semeru Nat’l Park, conceptualized and executed large-scale event management, including: advanced race arrangements, publicity, race day management, and the training and oversight of 500+ staff and volunteers serving 900 participants in the first year and 1,500 in the second.
• Taught English as a foreign language to Indonesian students in a low resource environment, while training host country teachers on participatory teaching methods and improved teaching practices.
• Established a number of youth development programs, including a cross country running team, English club, and youth leadership group.
• Completed of formal 10-week pre-service training program focused on language acquisition, teaching English as a foreign language, technical skills, health, and security .
• Lived with Indonesian host family for 2+ years, supporting cross-culture exchange, communication, and strengthening overall adaptability.