About

Abhay Raghuwanshi is a skilled software developer and data science intern with over 1 year of relevant experience. He is currently working at home.llc, where he is responsible for gathering, cleaning, and analyzing publicly available data that might affect house prices at state, metro, and neighborhood levels. Abhay is also building ML models to find out the best place to invest at state and metro levels and building future scenarios for different factors. He is ranking states and metros based on different important factors from the ML features importance. Abhay has previously worked at coachroom, fredit financial tech pvt. ltd. as a software engineer, where he developed a web-based streaming app and user management app for different users, including students, teachers, and organization admins. He has also developed many APIs, onboarding dashboards, and worked on the database design for the app and hosting as well. Abhay's technology expertise includes React, Redux, RESTapi, Django, and SQL. Abhay has also worked as a frontend developer at Farmley, a B2B startup agritech startup of non-perishable fruits. He developed a role-based dynamic app for multiple users with features like filter, pagination, and sorting. Abhay fixed the bugs from the existing web-app and implemented enhancements that significantly improved web functionality and speed. His technology expertise includes Angular, Thymeleaf, FullStory, HAL browser, and Sentry. Abhay holds a BTech in Polymer Science and Engineering from the Indian Institute of Technology, Roorkee. He is proficient in various technologies, including Data Scientist, Software Engineer, ML, SQL, Web, Frontend, Redux, Django, and AngularJS. Abhay's passion for training machine learning algorithms to get better accuracy is evident from his LinkedIn summary.