Build a hyper-personalized content platform powered by generate AI.

Drive the overall AI strategy to revolutionize the digital shopping experience

Led a team to develop cutting-edge IoT technologies to detect critical maintenance needs in industrial water meters through the use of computer vision, time series, and machine learning. Built a scalable data pipeline, data architecture, and ML Ops infrastructure to provide actionable insights and support data-driven decision-making. Achieved $10M+ in identified revenue loss for smart cities through continuous monitoring and automation.- Fine-tuned pre-trained CNN models for image classification and object detection of register readings, leaks, and meter tampering, resulting in a 30% improvement in accuracy over AutoML and Google Cloud Vision.- Developed signal processing of sensor data and applied NLP techniques such as LSTM to multivariate time series forecasting of maintenance needs, achieving an impressive 98% precision rate in qualified meters.- Streamlined the end-to-end process of training, tuning, monitoring, and deploying ML models, fostering collaboration, efficiency, and reliability in ML operations.- Collaborated cross-functionally to build cloud-first web applications, supporting data-driven tools such as fleet routing optimization, automated installation verification, and meter analysis diagnostics.- Recruited and trained a high-performing team of data scientists, data engineers, and data analysts from the ground up within 6 months.- Wore multiple hats, from individual contributor to technical lead, project manager, and product manager, to ensure the delivery of cutting-edge products, exceed customer expectations, and drive business success.

Delivered the company’s first personalized product recommendation system, leveraging customer segmentation, browsing and purchase history, seasonality, and geographical trends. Led a team to build an innovative process to auto-generate guided shopping experiences online, providing customers with a highly efficient product discovery journey and helping them make informed purchase decisions with relevancy and serendipity. - Delivered state-of-the-art personalized product recommendations and best-in-class CRO strategies; achieved a record-breaking conversion rate upon inception. - Utilized NLP techniques, such as NER, topic modeling, and intent recognition, to extract common questions and pain points from user-generated content, including product reviews and Q&A.- Collaborated with cross-functional teams, including product managers, engineers, and UX designers, to define optimal customer experience and create engaging data visualizations to showcase algorithms and findings to stakeholders and leadership.- Developed a data scientist screening and training process, which included generating case studies to evaluate candidates' knowledge and creating onboarding materials to ensure seamless integration of new hires.

Analyzed in-store mobility patterns and URL clickstream data gathered from user Wi-Fi connectivity to provide valuable operational insights to B2B customers.- Utilized Big Data technologies to analyze petabytes of data for customer segmentation and capacity planning.- Developed a powerful spatial-temporal analysis tool to identify hotspots and congestion, enabling businesses to proactively manage resources and improve service quality.

Implemented robust quality control mechanism in integration process of student data to streamline overall framework and get efficient dashboard updates, empowering data stewards to monitor data quality and consistency with actionable guidance.- Devised automated process to isolate problematic data, retrieve root-cause errors, and prioritize data issues. - Deployed solution to 7 school districts in 4 months, impacting over 90k educators and representing 200k students.

Implemented a data pipeline for insurance quote requests by consumers, lead-generating bids by insurance agents, and keyword insights from Google Ads. Created intuitive dashboards providing insight for leadership to monitor and optimize ad spend budgets, keyword trends, and pay per click performance.- Developed a robust and flexible ETL framework that supported an unlimited number of data feeds in different formats from insurance agents.- Built algorithms to match consumers with insurance agents, identified key factors in lead conversion, and maximized conversion rate and pay per click revenue.

Led a joint effort between Best Buy for Business (BBFB) and Moxie. Identified abnormalities and inconsistencies in data, and developed reporting and dashboard facilities for an effective BI platform.- Successfully completed an end-to-end project within 4 months, in spite of needing to incorporate 5 highly duplicated large data sources, providing valuable strategic insight for BBFB decisions. - Conceived and led an initiative to automate the update process to avoid project overruns and increase frequency; succeeded in reducing update time from 3 days to overnight as well as cycle time from monthly to weekly.

- Developed the AppManager Suite, a solution for managing IT infrastructure's performance and availability through client-server distributed monitoring software. - Built agents on the client side to collect infrastructure operational metrics such as CPU and memory usage, disk space usage, failed login attempt rate, and response latency. - Led a team of developers, quality assurance engineers, and technical writers to deliver customized support for big account customers; built a reputation for on-schedule, high-quality, and detail-oriented work.- Collaborated in product requirement prioritization and software risk management; analyzed task dependencies; estimated resource requirements; identified potential problems; suggested alternatives.- Managed outsource operations at Symphony Services, Bangalore

Studied bidding algorithms, modeled and simulated online consumer behavior with Dynamic Pricing Engine to optimize customer engagement and profit margin for e-commerce businesses. Developed a customizable plugin for e-commerce website to provide a dynamic pricing capability.