About

Divay Jindal is a highly skilled Data Scientist with over 5 years of experience in the field. He is currently working as a Data Scientist 3 at Meesho, where he is responsible for developing advanced analytics, building recommendation engines, and revenue management methodologies. His expertise in Statistical and Machine Learning models has helped him improve services for customers. Divay has a strong foundation in Linear Algebra, Statistics, and Machine learning, which he acquired through various MOOCs from OCW MIT and Stanford. He believes that data is a product, and actionable insights derived from it are fuel for business solutions. He is passionate about the intersection of Business, Computer Science, and Maths, which drives his interest in the field of Data Science. In addition to his professional work, Divay loves doing competitive coding and working on various other projects. He has participated in ACM ICPC 2016 regionals, which validates his coding skills. He also enjoys playing around with Linux Kernels and writing baby central versioning systems. You can view his projects anytime on GitHub. Divay has worked with several companies in the past, including BookMyShow and The Social Street. At BookMyShow, he worked as a Data Scientist II, where he improved services for customers using advanced analytics and built recommendation engines. At The Social Street, he worked as a Machine Learning Consultant and was responsible for developing a smart AI product involving Computer Vision. Divay holds a Bachelor's degree in Computer Science from the National Institute of Technology Silchar. He also has a Higher Secondary Education degree from DLF Public School. He is proficient in Data Science, Machine Learning, Hadoop, Spark, SQL, Python, and Java. He also has experience in NLP, Big Data, MySQL, SVM, Computer Vision, and AI. In summary, Divay Jindal is a highly skilled Data Scientist with a passion for the intersection of Business, Computer Science, and Maths. He has extensive experience in Statistical and Machine Learning models and has worked with several companies in the past. He is proficient in several programming languages and has a strong foundation in Computer Science.