About

Lalith R. is a data enthusiast with a Master's degree in Software Engineering and 2.5 years of experience as a data scientist. He is skilled in Python programming, machine learning, and SQL, and has expertise in building predictive analytics solutions and data pipelines with cloud technologies such as Azure and Google Cloud (GCP). Currently working as a data analyst at EY, Lalith develops, solves, and automates data-driven solutions with the Tax technology firm to optimize stakeholder's business and add value to it. Lalith's passion for problem-solving and cognitive thinking towards computer science and technology drives him to work in the field of data science. He aspires to become a data science evangelist and is constantly looking for opportunities to enhance his skills and knowledge. In the past, Lalith has worked as an intern at HAL Aerospace Division in the IT department, where he briefly worked on building a .NET aspx application and machine learning classification technique. He used multinomial logistic regression to classify the inventory into four different categories with legacy data of product type and serial number type. Lalith's education history includes a Bachelor's degree in Computer Science from VIT and Class 12th from Sri Bhagawan Mahaveer Jain College. Lalith's tech stack includes SQL, Python, Azure, GCP, machine learning, computer vision, natural language processing (NLP), research scientist, and data scientist. With 2.78 years of relevant experience, Lalith is a valuable asset to any organization that requires data-driven solutions.