Anuj Katiyal
About Anuj Katiyal
Anuj Katiyal is a Senior Data Scientist at Condé Nast, with a strong background in data science and machine learning. He has previously held positions at Columbia University, Tata Consultancy Services, and Twitter, and has contributed significantly to social recommendation systems that have saved the company over $1 million in revenue.
Work at Condé Nast
Anuj Katiyal has been employed at Condé Nast as a Senior Data Scientist since 2018. In this role, he developed a product for social recommendations that has resulted in over $1 million in recurring revenue savings for the company. He has also implemented automated scripts for extensive analysis and A/B testing of social recommendation solutions, which significantly increased traffic for Condé Nast brands. Additionally, he has mentored team members across various geographical locations in roles such as Data Engineering and BI Analysts, contributing to the success of the social recommendations product.
Education and Expertise
Anuj Katiyal holds a Master of Science (M.S.) in Data Science from Columbia University, where he studied from 2016 to 2017. Prior to this, he earned a Bachelor of Technology (Hons) and an M.S. by Research in Computer Science from the International Institute of Information Technology Hyderabad (IIITH) from 2007 to 2012. His educational background is complemented by his practical experience in data science, machine learning, and statistical machine learning, including research on applying these techniques to satellite imagery.
Professional Experience
Before joining Condé Nast, Anuj Katiyal worked in various roles that enhanced his expertise in data science. He served as a Researcher at Tata Consultancy Services from 2013 to 2016. He also gained experience as a Graduate Teaching Assistant in Machine Learning at Columbia University during the summer and fall of 2017. His earlier roles include working as a Teaching Assistant and Research Assistant at the Lab for Spatial Informatics at IIIT Hyderabad from 2007 to 2013, where he contributed to projects in spatial informatics.
Technical Skills and Tools
Anuj Katiyal possesses full stack exposure in data science projects, encompassing data engineering, feature calculation, model training, and scheduling solutions for live content recommendations. He has utilized a range of tools in his work, including PySpark, Hive, Python, Airflow, and MLFlow. His experience includes building end-to-end machine learning products and transitioning them from proof of concept to production, demonstrating his capability in managing complex data science workflows.
Internship Experience at Twitter
In 2017, Anuj Katiyal completed a Data Science Internship at Twitter for three months. This experience allowed him to apply his academic knowledge in a practical setting and gain insights into the operations of a leading social media platform. His internship contributed to his overall understanding of data science applications in real-world scenarios.