ANIRBAN SAHA

A highly skilled and research-driven professional with dual M.Tech degrees in Computational Data Science from IISc Bangalore and Computer Science and Engineering from IIT Kharagpur. Possess hands-on expertise in data science, machine learning, and NLP with a strong academic and industry background. Previously worked as a Data Science Intern at Carelon Global Solutions, where I developed end-to-end data pipelines, implemented a feature store, and built transformation functions on healthcare datasets to enable faster data processing and efficient model feeding. Currently employed as a Software Engineer – R&D at TVS Motor Company, focusing on cutting-edge projects in voice authentication and bike command classification using natural language processing. Demonstrated innovation through 2 filed patents and 2 IEEE conference publications based on this work.

• Machine Learning for All [Course offered by Coursera]
• Neural Networks and Deep Learning [Specialization offered by Coursera]

• Tensorflow
• Numpy
• Pandas
• SciKit-Learn
• Matplotlib
• Librosa
• Seaborn
• Keras
• Jupiter Notebook
• Spyder
• GIT
• Jira
• Confluence
• Bit-Bucket
• Docker

• Cockpit Analytics, TVS Motor Ltd.
• Speaker authentication and validation using ECAPA-TDNN speaker embeddings, TVS Motor Ltd.

• Foundations of Computing Science
• Algorithm Design and Analysis
• Artificial Intelligence
• Machine Learning
• Information Retrieval
• Deep Learning
• Advanced Digital Image Processing & Computer Vision
• Natural Language Processing
• AI & Ethics
• Parallel Programming
• Bioinformatics
• Data Analytics

• UGC NET Qualified, 2019, Qualified both Junior Research Fellowship and Asst. Professor in Computer science and Applications.
• GATE Qualified 5 times from 2018 to 2021 in CSE and in 2024, 2025 in CSE and DA paper.
• Gold Medalist in D.Tech in I.T,, Stood First (Gold medalist) in D.Tech in Information Technology conducted by the W.B.S.C.T.E.

• Highly Accurate Protein Structure Classification and Prediction, 2nd IEEE International Conference on Computational Systems and Communications, 10.1109/ICCSC56913.2023.10142975
• Recognition and Classification of Accompanying Audios of Kathak Dance, 10th IEEE International Conference on Communication Systems and Network Technologies [CSNT 2021], 10.1109/CSNT51715.2021.9509718
• Improved Digital Image Processing based Detection for Alzheimer's disease using MATLAB, International Journal of Advances in Arts, Sciences and Engineering, 3, 6, 01/01/15