Apr 2023 – Aug 2024 · 1 yr 4 mos · Los Angeles, California, United States · On-site

• Projects-
• Product Marketing: Built machine learning model utilizing 60k data points to segment users into high/med/low value clusters, empowering marketing team to deliver targeted push notifications resulting in 5% boost in re-engagement and 40% click-through rate (CTR)
• Led cross-functional teams in retaining 10,000 users by launching a Customer Retention dashboard, identifying attrition points and enabling strategic sales interventions. Enhanced Time-on-Product by 20%, extending user engagement to 6 months

Jun 2022 – Mar 2023 · 9 mos · San Francisco Bay Area · On-site

• Projects-
• Sales Strategy/ Segmentation & Targeting: Led a team of 8+ associates and utilized advanced predictive modeling techniques to identify high-value HIV prescribers for a Fortune-500 client, enabling more efficient marketing
• Led a team of 5+ associates to launch Drug Sampling Tracker Program, tracking key metrics such as sampling pace and effectiveness, to improve targeted marketing and ensure optimal use of resources
• Streamlining Sales Operations: Developed an innovative territory alignment strategy that accounted for sales reps' workload and distance threshold requirements, increasing coverage by 5% and improving efficiency and productivity
• Responsibilities include-
• Working with project leadership to define project scope and develop an approach
• Leading client communications with multiple stakeholders on multiple workstreams simultaneously
• Ensuring progress, organizing project data, and coordinating team meetings
• Segmentation & Targeting: Predicted high-value physicians based on historical prescribing patterns and field inputs

Jun 2021 – Nov 2021 · 5 mos · Chapel Hill, North Carolina, United States

• Cymantix is a Data Analytics startup bringing new technologies to Visual Search
• 1. Led fundraising efforts through delivering investor presentations, raising $500K from investors
• 2. Performed market research by analyzing 20+ competitors to differentiate the product value proposition
• 2. Interviewed clients to collect feedback on the customer journey and assessed their pain points to develop product roadmap prioritizing 4 product feature requests

Jun 2018 – Sep 2020 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• I work in the Pricing and Promotions team and build scalable and sustainable products for the website and mobile app.
• 1. Led a team of 8 to launch Rewards Program to combat loss in grocery vertical, increasing new user acquisition rate by 50% and boosting revenue by 25%
• 2. Implemented the Cell Phone Exchange program (Annual revenue: $180M) to incentivize customers to reengage with the brand, expanding program adoption by 42% and increasing sales by $54M
• 3. Reduced production issue resolution times by 50% by creating alerts and dashboards to identify bottleneck issues with 17 internal systems; enhancing oncall engineer productivity by 100%

Jul 2016 – Jun 2018 · 1 yr 11 mos · Bengaluru, Karnataka, India

• I work in the Search and Discovery engineering team at Target, building the e-commerce search engine from the ground floor up. I have experience in Java 8, Apache SOLR, Spinnaker, Kafka, Kibana, and other streaming compute systems. I enjoy my work and thrive in a fast-paced development team. We develop and deploy by agile practices, and are a highly motivated lot.
• 1. Led a cross-cultural (across US and India) and cross-functional team of 12 to build a smart recovery method to improve customer experiences, reducing null queries from 5% to 3% and increasing revenue by $6M
• 2. Integrated user browsing history and conducted significant A/B testing to improve search query suggestions, driving revenue lifts of ~+1% of search attributable business (+$15M in additional revenue)

May 2015 – Jul 2015 · 2 mos · Greater Bengaluru Area

• 1. Proposed multiple new designs to replace a failed Barring plug which were accepted saving the company $60K annually
• 2. Implemented Cost Reduction measures to Cam Gear and saved 48% by reducing the number of different parts required to be manufactured, using the same plug for all engine variants and reduction in maintenance costs due to frequent failures