Badreesh Shetty

Background

About Badreesh Shetty

As a graduate research assistant at Northeastern University, I support Professor Jay Mulki in conducting and disseminating marketing research, using various sources and platforms to collate and share relevant articles. I am also pursuing a Master's in Business Analytics, where I learn to apply advanced analytical methods and tools to solve real-world business problems and generate insights. Before joining Northeastern, I was a data scientist at Centelon, a leading consulting firm that provides data-driven solutions to clients across various industries. I developed and maintained a real-time ETL pipeline in Python that streamlined the extraction of key information from over 30k documents every month, reducing manual effort by 48%. I also led a team of three data scientists in creating a fuzzy string-matching algorithm that improved the accuracy and speed of information matching, resulting in a 20% decrease in processing time. Additionally, I collaborated with the team to establish efficient continuous integration using Git and architected the backend using MongoDB and Django. I have a strong background in data analysis and modeling, with proficiency in a variety of programming languages and frameworks, such as R, SQL, and Flask. I am skilled in machine learning and data science techniques, with a solid understanding of statistical methods and their application in different domains. I am also experienced in technical writing, with a proven track record of producing high-quality data science articles that have won multiple awards and recognition. I am passionate about data and its potential to create value and impact for businesses and society, and I am looking for a challenging role where I can leverage my skills and experience to make a difference.