Curriculum Vitae
Here are the key CV points for Debanjan Datta, PhD. Please download the PDF from the link provided.
Basics
| Name | Debanjan Datta |
| Label | Applied (Machine Learning) Scientist |
| ddatta@vt.edu | |
| Phone | (408) 314-0878 |
| Summary | A motivated AI/ML researcher and practitioner, who is passionate about delivering results through innovation and working backwards. |
Work
-
2022.06 - Current
Education
-
2016 - 2022 Virginia, US
-
2009 - 2013 Kolkata, India
Bachelor of Engineering
Faculty of Engineering & Technology, Jadavpur University
Computer Science and Engineering
Skills
| Machine Learning | |
| Machine Learning | |
| AI | |
| NLP | |
| Deep Learning | |
| Statistical Analysis | |
| Big Data | |
| Anomaly Detection |
Languages
| English | |
| Fluent |
Interests
| Applied Machine Learning | |
| AI | |
| Large Language Models | |
| NLP | |
| ML | |
| Agentic AI |
References
| Professor Naren Ramakrishnan | |
| Affiliation: Virginia Tech. Email: naren@cs.vt.edu |
| Professor Gerald Friedland | |
| Affiliation: AWS, UC Berkeley. Email: fractor@eecs.berkeley.edu |
Academic_service
| Conferences | |
| IEEE International Conference on Data Mining (ICDM) 2022, 2023, 2024, 2025 | |
| International Conference on Data Mining (SDM) 2022, 2023, 2024 | |
| AutoML Conference 2023, 2024 | |
| ACM/IEEE ASONAM 2023, 2024 | |
| Annual AAAI Conference on Artificial Intelligence 2024, 2025, 2026 | |
| PAKDD 2024 | |
| ACM WSDM 2024 (Demo Track) | |
| ACM SigKDD 2025 (Applied Data Science Track) | |
| IEEE AIxSET 2024 |
| Journal | |
| ACM Transactions on Intelligent Systems and Technology | |
| IEEE VIS 2021, 2022 | |
| IEEE Transactions on Big Data | |
| Information Visualization | |
| Data & Knowledge Engineering |