About

Apoorve Gupta is a highly skilled Software Engineer and IBM Certified Data Science Professional with a passion for Machine Learning and Deep Learning. With a sharp focus on collecting, analyzing, and interpreting large datasets, Apoorve is adept at developing new predictive models and performing data management tasks. He possesses extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Currently working as a Web Developer at pesu io, Apoorve has gained valuable experience working as an SDE Intern at ey and a Data Science Intern at Dun & Bradstreet. At Dun & Bradstreet, he developed a Delinquency Model for Predictive analysis of Natural Disaster on Business of Companies and created a Classification Model using Machine Learning Classification Algorithm like XGBoost and LightGBM. He also built an Emotion Classification Model to identify and classify the emotions of the crowd in a football match using OpenCV and Deep Learning MobileNet Model. Apoorve was involved in the complete Life Cycle including Analysis, Design, Development of Natural Language Processing Model for Calculating ESG Count and Sentiment Analysis of Sentences Scraped from 10K Fillings of Companies using BeautifulSoup, Latent Dirichlet Allocation, Word2Vec, POS Tagging, Phraser, and BERT Modelling Techniques. Apoorve's education history includes a Bachelor of Technology in Computer Science and Engineering from pes university. He also attended Cambridge School Indirapuram from 2003 to 2017. Apoorve's tech stack includes Deep Learning, Research Scientist, Data Scientist, ML, Software Engineer, AWS, NLP, BERT, Web, GCP, Big Data, Sentiment Analysis, XGBoost, Python, Mobile, Hyperparameter, Word2Vec, Parts-of-speech, OpenCV, dotNET, ASP.NET, and Javascript. With 1.94 years of relevant experience, Apoorve is looking forward to meeting programmers and intellectuals across the world to build his career and enhance his knowledge base in a forward-moving company.