About

Parth Patekar is a multi-faceted professional with a passion for technology and business. He is currently pursuing his second Master's degree in Information Systems from the Kelley School of Business, where he has developed an analytical mindset towards problem-solving, honed his communication and presentation skills, and gained technical knowledge. Parth is a problem-solver who sees challenges as opportunities and technology as a medium to build solutions. He aims to leverage his skills to understand the problems faced by users and transform them into usable products. Parth has experience shipping successful projects in an Agile environment and developing and meeting KPIs. He has technical expertise in product management, search, Azure, Keras, deep learning, research scientist, TensorFlow, neural networks, mobile, Python, and Android. Parth is a firm believer that a Product Manager role requires working across business verticals, understanding business processes, delivering strategic insights, and making data-driven decisions. To be successful, one must possess a sound problem-solving ability, technical prowess, and fluent communication skills. Parth is currently working as a Product Management Intern at tern, where he has pioneered Agile development for a travel app. He architected the database, designed APIs, and developed its recommendation engine. He enabled users to get criteria-based and popularity-based recommendations using a content-based filtering approach. He also enabled search for 300k+ travel locations across 700+ US cities by architecting Azure PostgreSQL database and designing APIs. Parth evaluated the minimum viable product (MVP) by designing and conducting a Beta test with 50+ participants. He led app development by creating mockups, personas, user stories, and work-breakdown structures and maintaining backlogs. Parth has previously worked as a Program Manager at Indiana University - Kelley School of Business, where he delivered digital capabilities to 5+ organizations by leading a team of 3 in gathering requirements and developing solutions. He also improved service level by 10% in a support center by implementing a forecasting model for part-time staff requirements. Parth built e-commerce websites to streamline product cataloging and sales tracking, resulting in increased user acquisition for a client. He established relationships with 20+ rural libraries across Indiana by conducting on-site visits, identifying business requirements, and designing solutions to bridge the digital divide among local communities. Parth has also worked as a Senior Engineer at Samsung, where he developed Proof-Of-Concepts using deep learning technologies for Samsung Galaxy Fold 4. He proposed a