About

Anant Agarwal is a data scientist at Microsoft with a passion for exploring the stories that data can tell. With a background in computer and electronics engineering from Thapar University, Anant has developed a strong foundation in programming languages such as Python, R, and C++. He is also well-versed in data analysis, data visualization, and machine learning. Anant is on a mission to uncover the real causation behind the success of state-of-the-art deep learning models. He is interested in exploring whether the correlations that these models identify are truly indicative of causation or whether there are other factors at play. Anant is particularly interested in addressing the problem of causal transportability and cofounding bias, which involves finding ways to replicate the success of one market in another. Anant has worked as a data scientist at OurBus, where he was responsible for finding cause-and-effect relationships between business decisions and market behavior. He also developed an agent that could predict demand for a market while taking into consideration cofounding biases and evolving with changes in the environment. Additionally, Anant has served as a data science instructor at SimpliLearn, where he taught machine learning to students through weekly live classes. Anant's education includes a Data Scientist certification from Udacity, as well as a Deep Learning NanoDegree. He also holds a Bachelor of Engineering degree from Thapar University. Anant's tech stack includes skills in research science, computer vision, natural language processing, and Java. Overall, Anant has 3.19 years of relevant experience as a data scientist and is committed to using his skills to help organizations find the insights hidden within their data. To connect with Anant, you can book a slot on his website at https://topmate.io/anant_agarwal.