→ Developed the first-in-market social e-commerce product - GBUY (gbuynow.com), creating a community of customers and local sellers/manufacturers to connect with each other and for customers to buy together. The concept of buying together results in an average savings of 40% on the retail price for consumers and helps local sellers to increase their Average Order Value (AOV) per order.→ Owning the end-to-end product pipeline & lifecycle of GBUY. Publicly launched the product in March 2022 and now executing the Go-To-Market strategy by leading the operations and digital marketing among local sellers and college students in the LA region.→ Overseeing the GBUY mobile app development from inception to implementation and creating a data lake in GCP to centralize all data streams from different sources.→ Developing the end-to-end product roadmap for autonomous aerial perception and collision avoidance technology for drones (aero-vision.us).→ Leading the product development and go-to-market strategy for brain injury screening technology that assesses the concussion likelihood in 15 mins (neurosanctima.com).

Teaching assistant for the following courses: - BAX 423 Big Data Analytics (Spring 2020, Spring 2021) - BAX 401 Business Analytics (Fall 2020) - BAX 422 Machine Learning (Winter 2021)Made videos and took sessions on big data analytics, text mining, machine learning, and quantum computing for MS in Business Analytics students.

→ Led a team of 6 MBA students to build an automated revenue forecasting model using the past 10 years of revenue and marketing data for $430M Genomics division.→ Created an auto-regressive time series model with an error percentage of less than 1.5%. Deployed the model on Google Cloud Platform using BigQuery ML.

→ Built the logic for a content parsing and ranking platform using NLP & ElasticSearch to search over 134 million articles in 3 seconds. Deployed the project on AWS.

→ Developed and managed the advanced resource planning and scheduling system to automate the company processes, improving the process efficiency and reducing the error rate. It decreased the overall operational cost by 29% and helped the company to achieve several international certifications→ Designed an intelligent purchase software for buying packing materials, reducing overall cost of purchase by 8.7%

→ Established agile practices & led the development of full technology stack.→ Orchestrated efficient online marketing by facilitating cross-functional collaboration among the team of multiple business analysts, marketing specialists, and developers.

→ Researched & developed a new Text Matching and Consolidation algorithm that increased the text-matching accuracy from 43% to 86% → This algorithm significantly improved the system’s output by substantially increasing the text-matching accuracy with the input text.→ Designed an automatic validation report generation software to facilitate the continuous evaluation of our service.

→ Researched & developed a new Template-based Image Matching algorithm that classifies and extracts data from almost any document. → The algorithm significantly increased the classification accuracy to 97% and expanded the types of materials supported.→ This algorithm was presented at the Amazon ML&CV conference, California.

→ Developed a user management portal to onboard publishers/bloggers automatically.→ Designed an image search engine to add support of matching suggestions for products.