About

Honey Nikam is a highly skilled and motivated software engineer with experience in AdTech Attribution and a focus on developing innovative solutions. Currently working at Uber as a Software Engineer I, Honey has made significant contributions to the company's growth through her expertise in implementing Bayesian LSTM Networks and regressive time-series models to predict Uber Eats data, such as city-wise gross bookings and web-sessions. Prior to her current role, Honey worked as a Software Developer Intern at Uber, where she gained valuable experience in software development and honed her skills in data analysis and modeling. During her time at Talentpod Techserve, she built a news recommendation system based on cognitive filtering using MongoDB database, which involved retrieving live articles and performing a similarity analysis with users' mail body to recommend relevant news items. Honey holds a Bachelor's degree in Mechanical Engineering from IIT Kanpur and is currently pursuing a Master's degree in Computer Science at the University of California, San Diego. She has a strong technical background and is proficient in various technologies, including software engineering, web development, recommendation systems, and MongoDB. With 0.68 years of relevant experience, Honey is a quick learner and an excellent problem solver. She has a passion for innovation and is always looking for ways to improve processes and deliver high-quality results. Honey is a team player and has excellent communication skills, making her a valuable asset to any organization.