About

Sourabh Raskar is a data scientist with a strong academic background in mathematical modelling and simulation. He has over 3.86 years of relevant experience in the field of data science, with a focus on machine learning and artificial intelligence. Currently working as a data scientist at TomTom, Sourabh is passionate about solving challenging problems using cutting-edge technologies and techniques. Sourabh has previously worked as a data scientist at Gaian Solutions India, where he was responsible for developing optimization models for broadcasters to deliver files with minimum cost within a given deadline. He also worked on scheduling ads for broadcasters to maximize revenue and successfully complete advertisement campaigns with given constraints. At Quantela, he worked on a range of projects, including time series forecasting, spatial interpolation, and cross-domain analytics. He also implemented the SEIR model for predictive analysis of the COVID-19 pandemic, helping cities to be ready for worst-case scenarios. Sourabh's educational background includes a Master's degree in mathematical modelling and simulation from the Centre for Modelling and Simulation, Savitribai Phule Pune University, and a Bachelor's degree in mechanical engineering from the same university. He also holds a diploma in mechanical engineering from Sou Venutai Chavan Polytechnic. Sourabh's technical skills include research, ML, SQL, Azure, Spark, NLP, sentiment analysis, random forest, Python, Scala, search, Naive Bayes, ETL, AI, GAN, Jupyter, SVM, Keras, Databricks, adversarial networks, CNN, tokenization, stop words, deep learning, product management, neural networks, and Flask. Sourabh is a highly motivated individual with a strong work ethic and a passion for solving complex problems. He is a quick learner and is always eager to expand his knowledge and skills. With his strong academic background and relevant industry experience, Sourabh is well-positioned to make a significant contribution to any data science team.