About

Mayank Aggarwal is a highly motivated and experienced software engineer with over 3 years of experience working in both start-ups and established MNCs. He is currently working as a Technical Associate at Goldman Sachs, where he is responsible for building solutions using the latest technology to solve real-world problems. Mayank is a technology enthusiast who is passionate about using tech to come up with solutions to complex problems. He has a strong background in software engineering, data science, and machine learning, and is proficient in a wide range of technologies, including AWS, Sagemaker, Java, Python, Keras, NLP, Spark, TensorFlow, and Flask. He is also a mentor at Scaler, Coding Ninjas, and other platforms, where he guides students to help them clear their doubts in DSA and assists them in their placement journey. Prior to joining Goldman Sachs, Mayank worked as a Data Scientist/MLE at OYO, where he was part of the data sciences team of the Conversion Department. During his time at OYO, he created a model for scoring images automatically to eliminate human intervention, aimed to modify the ranking of hotels and make it personalized by using XG-Boost and Deep Learning, and recentered the center of localities based on URN. He also created several dashboards for effective reporting of several metrics like GMV, NRV, views, bookings, etc. at every level. Mayank holds a Bachelor of Engineering degree with honors in Computer Science from Netaji Subhas Institute of Technology (NSIT). He is a highly skilled software engineer, data scientist, and researcher who is always looking for ways to improve his skills and stay up-to-date with the latest technologies and trends in the industry. With his strong technical skills, passion for technology, and experience working in both start-ups and established MNCs, Mayank is a valuable asset to any organization.