About

Zeeshan Desai is a highly skilled Software Engineer at Goldman Sachs with a passion for extracting insights and deliverables from data. With expertise in a range of programming languages including R, Python, C++, MySQL, NoSQL, Scala, and SAS, Zeeshan has a proven track record in data analysis, machine learning, big data, data preprocessing, Linux scripting, data visualization, PyDicom, and NLP. Zeeshan's current role as a Software Engineer (Analyst) at Goldman Sachs has allowed him to hone his skills in data analysis and machine learning. Prior to joining Goldman Sachs, Zeeshan worked as a Data Scientist (Analytics) at Cruz Street where he developed Quicksight dashboards for text analysis and mining. At Boston Scientific, Zeeshan served as a Data Scientist (Neuromodulation) where he managed and pre-processed patient data using SageMaker instances to facilitate Quicksight dashboard development to monitor daily patient trends. He also developed an NLP app using streamlit on an internal dataset using AWS SageMaker to pre-process, mine, and model data. Zeeshan's academic background includes a Master's degree in Business Analytics from Naveen Jindal School of Management, UT Dallas, and a Bachelor of Technology in Engineering from Manipal Institute of Technology. Zeeshan is well-versed in a variety of tech stacks and has relevant experience of 1.44 years. His skills and expertise make him an asset to any team looking to extract insights and deliverables from data.