Rohan Yedagiri

Rohan Yedagiri is a professional with a diverse background in electrical engineering, data science, and business analytics. Starting as an electrical engineering student, Rohan had a pivotal moment during a senior year industrial visit that sparked his interest in the power of data for load forecasting and smart power distribution. This led him to pursue a Master's in Management Information Systems with a concentration in Business Analytics, where he honed his skills in Python, SQL, statistical software packages, and machine learning. Through hard work and dedication, he secured a Graduate Research Assistantship, delving into data preprocessing, cleansing, and machine learning, gaining valuable real-world experience.

Additionally, Rohan realized the importance of bridging the gap between technology and business, prompting him to pursue a dual degree in MSIS and MBA. His goal is to utilize his analytical skills and business acumen to bring value to organizations. With expertise in Python, SQL, R Programming, Tableau, Machine Learning, and Deep Learning, Rohan is a multifaceted professional ready to tackle complex data challenges and contribute meaningfully to any firm. Outside of work, he enjoys graphic design, socializing, and engaging in various recreational activities.

Rohan's educational background includes a Master's in Business Administration and a Master's degree in Management Information Systems with a focus on Business Analytics, both from Auburn University. He has held positions at Shipt as a Data Scientist, at Thinkful as a Data Analytics Mentor, at BBVA as a Data Architect, at Georgia-Pacific LLC as an MBA Consultant, at Evonik as a Marketing Data Analyst, and as a Researcher at Auburn University Harbert College of Business.