Jun 2023 – Present · 2 yrs 10 mos · Remote

• Topmate has been the best way to connect with me for anything and everything related to careers, data science, and mentorship. I'm proud to have completed 250+ bookings, and incredibly grateful for the heartfelt testimonials and high rate of repeat sessions. I've been honored to be recognized as a Top Mentor for two consecutive years, and deeply humbled when Topmate featured me on a Times Square, New York billboard.
• Through this platform, I’ve had the privilege to mentor individuals who’ve gone on to land roles at companies like Spotify (London), Meta, Walmart, Target, Deloitte, and various Indian startups and U.S. MNCs.
• But perhaps the most rewarding part has been the two-way learning. Each session, each conversation, has helped me reflect, sharpen my understanding, and grow. Preparing for calls often pushed me to explore topics more deeply—teaching me just as much as I shared.
• It's been a truly enriching experience on both sides. 🙏

Mar 2022 – Aug 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India

• My startup journey began with Meesho, a super fast-paced company known for hiring top-tier talent and having strong leadership. 🚀
• As the leader of the Ad-tech Data Science team, I specialized in Recommendation Systems and Advertising Monetization Platforms. My focus was on achieving platform revenue goals, enhancing user experiences, and maximizing ROI for suppliers.
• I worked on building conversion models, bid optimization algorithms (auto campaigns with auto-bidding), differential slotting, and budget pacing, which increased seller campaign runtime by approximately 2 hours and boosted ROI by ~5%.
• We developed an intelligent Supplier Ad Platform, leveraging causal inference (uplift modeling) to create cutting-edge ad recommendations that maximized ROI based on real-time demand-supply gaps. This platform also provided budget suggestions and performance forecasts.
• Additionally, we developed algorithms to identify and promote potential best sellers through ad campaigns.
• At the final stage of my Meesho journey, I also focused on User Growth alongside Ads. We developed specialized notification algorithms, optimizing the type and frequency of notifications to boost user engagement while managing the purchase-risk-to-mute tradeoff. Additionally, I utilized market mix modeling to assess ROI across multiple acquisition and marketing channels (e.g., Facebook, Google, IPL, TV, YouTube, discounts), enabling the branding team to make data-driven decisions for optimal budget allocation.
• I collaborated closely with Data Science juniors, product, business, and platform teams, ensuring continuous delivery and aligning with business objectives through a strong trust in Data Science capabilities.

Jun 2021 – Present · 4 yrs 10 mos · Remote

• DataTrek is my personal passion project—a one-stop channel for all things Data Science, Machine Learning, and AI.
• We dive into ML fundamentals, industry use cases, cutting-edge research papers, blogs, and the evolving world of LLMs and Generative AI—basically, everything that fuels the AI revolution.
• With a growing community of 10,000+ subscribers, I’m humbled to see the impact—from helping learners strengthen their foundations and switch careers, to supporting professionals in solving real-world problems at work.
• Grateful for the small but strong fanbase within the data science community. The journey has just begun! 🚀

May 2021 – Mar 2022 · 10 mos

• I began my career at Walmart and spent 5.5 incredible years in this people-centric organization, which will always hold a special place in my heart. ❤️
• As part of the Data Science team, I played a pivotal role in developing pricing strategies, including sales forecasting, determining optimal markdown/discount percentages, calculating item elasticities, learning item representations (embeddings), and identifying strategic investment opportunities.
• In addition to pricing, I made significant contributions to E-commerce Fraud Detection, where I discovered fraud signatures (customer, seller, associates-led frauds), built predictive scoring models, and detected multi-party collusions. I worked closely with cross-functional teams — including Business and Engineering — to deliver an innovative fraud detection and prevention solution for returns, cancellations, collusions, sellers, and other marketplace frauds.
• As a Senior Data Scientist, I led the development, testing, integration, and presentation of multiple fraud prevention system modules, saving costs and streamlining processes. I also contributed to the field by developing a novel linkage algorithm, which was open-sourced for broader adoption and advancement.
• Additionally, I participated in innovative proof-of-concept projects within the Retail domain, leveraging Big Data and GPU computing. I specialized in large-scale analytics using Walmart's vast data resources and cutting-edge technologies.
• Throughout my time at Walmart, I shared my work through blogs, conference presentations, and research papers. I also filed two patents:
• Rule-based Automated Retail Product Line Linkage: A system that automatically links new retail products to existing product lines by analyzing categories, features, and descriptions.
• Markdown Optimization System: A system that automates clearance markdown planning, optimizing pricing strategies to maximize sales and revenue.

Aug 2018 – Apr 2021 · 2 yrs 8 mos

Aug 2016 – Jul 2018 · 1 yr 11 mos

May 2013 – Jul 2013 · 2 mos · Bengaluru, Karnataka, India

• After my 3rd year of graduation, I had the incredible opportunity to intern under DRDO scientists, working on cutting-edge research. DRDO was ahead of its time, leveraging GPU computing well before the AI boom.
• I contributed to two major projects:
• 1. Radar Imaging Using Parallel Processing in GPU
• 2. Radar Detection of Buried Objects with the Kirchhoff Migration Algorithm
• As part of the projects, I worked with CUDA and OPENCL to program GPUs for parallel processing. Additionally, I implemented a Voice Security Module for authentication.
• Technologies Used: CUDA, OPENCL, C++