Sobhan Hota

Sobhan Hota is a research-focused individual with a strong background in problem-solving through bi-modal consulting, collaborating with external clients and internal organizations across various industry segments.

His expertise lies in areas like Machine Learning, Deep Learning, NLP techniques, big data integration, data modeling, and execution of projects with geographically distributed teams.

Sobhan has a proven track record of successful closures on complex projects by working closely with CxOs/SVP-VPs, delivering quality software services to numerous customers in industries like Finance, Healthcare, Pharma, Retail, and more.

He is skilled in identifying data-related problems efficiently, architecting solutions for decision-making processes, and implementing technologies like Big Data, ETL, Cloud, Data Architecture, ML, and Sentiment Analysis on various tech platforms.

Sobhan has presented at multiple prestigious events and conferences on topics like Sentiment Analysis, Text Analytics, and Computational Linguistics, showcasing his expertise in text classification and data analysis.

His interests include Deep Learning, Machine Learning, Data Mining, IoT, ETL processes for Datalake/EDW/BI, Semantic Web, Parallel Programming, and High-Level Languages for procedural and functional purposes.

His educational background includes a Master of Science in Computer Science from Illinois Institute of Technology, a Master of Technology in Computer Science from the University of Hyderabad, and a Bachelor of Engineering in Computer Science from Utkal University.

Sobhan has held various key roles in organizations such as Hitachi Vantara, Pentaho (a Hitachi Group Company), Tibersoft, Cengage Learning, AstraZeneca R&D Boston, Fidelity Investments, State Street Corporation, Enservio, Charles Schwab, The Boeing Company, and more, showcasing his diverse experience in data science, analytics, architecture, and consulting.