Gururaj Desai
About Gururaj Desai
Gururaj Desai is a Senior Data Scientist at Delivery Hero in Berlin, Germany, with over 7 years of industry expertise in various technical domains and platforms.
Current Position at Delivery Hero
Gururaj Desai holds the position of Senior Data Scientist at Delivery Hero in Berlin, Germany. In his current role, he focuses on projects related to Retrieval and Ranking for Search and Recommendations, as well as the Personalization of Recommended Restaurants and Products. His work utilizes tools like Pytorch, BigQuery, Vertex AI, Airflow, Pandas, Numpy, and Spark.
Previous Roles and Experience
Gururaj Desai's career includes a variety of roles in multiple companies. He previously worked as Data Scientist II at Delivery Hero (2022-2023), Machine Learning Engineer at bots4you GmbH (2021-2022), and held internship positions at Bosch as Data Science Intern and Data Engineer Intern (2020-2021). He also worked at xChange as a Software Developer (2019-2020), and as a Software Engineer - Data Science at Unbxd Inc (2016-2018). Early in his career, he had a brief stint as a Software Engineer at Knowlarity Cloud Telephony in 2016.
Educational Background
Gururaj Desai completed his Master's in Data Science and Management from Leuphana University of Lüneburg (2018-2020). Prior to that, he earned his Bachelor's in Computer Science and Engineering from RV College Of Engineering (2012-2016). His academic background provides a strong foundation in both theoretical and practical aspects of data science and computer engineering.
Industry Expertise
With over 7 years of industry experience, Gururaj Desai has worked in various sectors including Online Food Delivery, E-commerce, Q-commerce, Automotive, and Chatbot platforms. He specializes in Traditional Search, Semantic Search, Retrieval and Ranking, Recommendations, Personalization, and Chatbots, leveraging machine learning and deep learning techniques to address complex business problems.
Technical Skills and Tools
Gururaj Desai's skill set includes Machine Learning, Deep Learning, NLP, and Computer Vision. He is proficient with tools like Pytorch, BigQuery, Vertex AI, Airflow, Pandas, Numpy, and Spark. Additionally, he employs A/B tests, Fine-Tuning, and Offline Evaluation methodologies in his work to solve business and research problems effectively.