Nov 2022 – Sep 2025 · 2 yrs 10 mos · San Francisco Bay Area · Remote

• Oversee data science and analytics for Confluent’s Data Streaming and Platform products, guiding a team of 3 data scientists in delivering insights that shape product strategy and accelerate business impact.
• Led and mentored a 3-member analytics team managing analytics for over 8 key products, driving data-informed strategies and building strong stakeholder trust.
• Led analytics to support the launch of Confluent’s Flink offering—adopted by 1,000+ customers and growing 70% sequentially in ARR.
• Built an automated analytics pipeline (Airflow, Python, SQL, Tableau) for tracking new product launches, accelerating time-to-insight from months to a week and consolidating metrics into a single leadership dashboard.
• Drove strategic product decisions—including pricing, redesigns, and new launches—by leading analytics and delivering self-serve reporting that surfaced actionable metrics.

May 2021 – Nov 2022 · 1 yr 6 mos · San Francisco Bay Area · Remote

• Drove data science and analytics for Connect, ksqlDB, and Confluent Platform products, delivering insights that shaped strategy, product growth, and go-to-market decisions.
• Built foundational data pipelines, metrics, and dashboards to monitor product health and performance across the platform.
• Modeled and simulated new product ideas to size market opportunities (TAM) and inform go-to-market strategy.
• Designed and analyzed experiments to guide product launches and feature decisions in data-limited B2B environments.
• Partnered with senior leadership and cross-functional teams to translate analytics into actionable business and product decisions.

Mar 2019 – May 2021 · 2 yrs 2 mos · San Francisco Bay Area

• Improving the rides marketplace through ensuring high accuracy and reduced latency in rider and driver fares
• Prototyped new fare structures to improve customer experience while remaining competitive in the market that will potentially lead to over 0.1% increase in revenue
• Designed and analyzed experiments (A/B, Switchback, and Synthetic Control) to compare impact of features while balancing between customer experience, marketplace balance and revenue metrics
• Investigated outages, evaluated their impact, and aided business in deploying preemptive measures to avoid PR and Legal impact
• Played a key role in prioritization of engineering work by assessing various customer pain points in relation to fares (such as time and distance misestimations) and their impact on marketplace
• Technologies used: SQL (Presto/Hive), Python, Internal tools for visualizations and experimenting

Aug 2018 – Mar 2019 · 7 mos · Denver Metropolitan Area

• Data Scientist leading improvements in Sling TV product and enabling the business and engineering teams in improving the service with the help of machine learning and data analysis
• Developed machine learning models to improve the content caching delivery aimed to reduce latency in content delivery
• Enabled business with improved understanding of customer engagement and churn with help of data analysis and automated dashboards in Tableau
• Developed and analyzed A/B tests to access and quantify success of new products and features
• Technologies used: SQL, AWS (Athena, Sagemaker etc.), Tableau, R, Python, Microsoft Excel

Aug 2016 – Aug 2018 · 2 yrs · Denver

• Data Analytics Manager responsible for enabling the Product Management team in creation and introduction of cutting-edge consumer television products with the help of data analysis
• Improving UI/UX by analyzing user interface navigation data to identify customer pain points
• Shaping product strategy to minimize cost and assess feasibility during product ideation
• Optimized customer marketing and retention strategies by profiling customers and providing segment level insights
• Transformed and influenced product management into a more data driven team by enabling them with readily available dashboards that unveil product and feature usage trends
• Forecasted success metrics trends to objectify goal setting and track progress to fine tune product strategy
• Lead the product survey project by automating administration, and analyzed response text to identify customer pain points and suggest relevant features
• Collaborate with various departments through a SAFE agile framework in maintaining and championing new products and feature improvements
• Technologies used: SQL, Impala, Hive, Hadoop, Spark, Teradata, Netezza, Tableau, R, Python, Microsoft Excel, Clarabridge

Jan 2016 – May 2016 · 4 mos · Greater Minneapolis-St. Paul Area

• Technical Lead for the team responsible for developing an IoT solution to perform predictive maintenance for manufacturing industry
• Developed a working prototype by integrating various AWS tools that would ensure a seamless data flow from sensors to a dashboard on Tableau Server
• Created a predictive model for predicting fault in the system at separate stages of life cycle in real time using Python packages such as Pandas and Scikit-learn
• Technologies used: Python, NoSQL (AWS DynamoDB), SQL (AWS RDS), AWS EC2, AWS Lambda, AWS Kinesis, Shell scripting, Tableau, JavaScript

Jul 2013 – May 2015 · 1 yr 10 mos · Bangalore

• Lead a three member team of data analysts responsible for analyzing data, reporting results and suggesting policy optimizations to help secure the client environment. My leadership has driven innovation, automation and effective recommendations in the reports developed
• Analyzed and optimized data security for a multinational mass media company using Symantec DLP, Bay Dynamic Risk Fabric tools and generated performance tracking reports
• Recommended various optimizations to the existing processes with the help of business requirement analysis and incorporating policy changes using regular expressions
• Increased the efficiency and accuracy of the system that helped secure the client environment and reduced the amount of false positives from over 70% to under 15%
• Developed key deliverables and executive presentations showcasing the impact of the security analysis that helped fetch new business from the client