About
I am an Assistant Professor in the SQC & OR Unit at the Indian Statistical Institute, Kolkata. My research interests lie at the intersection of Survival Analysis, Reliability, Deep Learning, Machine Learning, Time Series Anomaly Detection, Log Analysis, NLP, LLM.
Prior to joining ISI, I worked as a Lead Data Scientist at Ericsson India Global Services, where I led several machine learning and AI initiatives focused on telecommunications networks, anomaly detection, and federated learning systems. I have extensive experience in developing scalable ML solutions for industrial applications.
I completed my PhD in Mathematics from IIT Patna in 2019, where I worked on statistical inference and optimal life testing plans under various censoring schemes. My current research focuses on federated learning, multi-task NLP, multi-modal LLM, anomaly detection, log analysis and survival analysis for big data applications.
Education
- PhD in Mathematics, IIT Patna, India (2019)
Thesis: Statistical Inference and Optimal Plans Under Hybrid Censoring Scheme
Advisor: Dr. Yogesh Mani Tripathi - M.Tech in Mathematics and Computing, IIT Patna, India (2014)
Thesis: Multi-Objective Portfolio Optimization Using Evolutionary Algorithms
Advisors: Dr. Sriparna Saha (IIT Patna), Prof. Arnab Kumar Laha (IIM Ahmedabad) - M.Sc. in Pure Mathematics, University of Calcutta, India (2011)
- B.Sc. in Mathematics (Hons.), University of Calcutta, India (2009)
Experience
Ericsson (Kolkata, India)
Lead Data Scientist (Aug 2019 – Oct 2024)
- Unsupervised KPI anomaly detection using ML/DL models (Prophet, seq-seq), Pyspark, Docker.
- Ping-pong handover anomaly detection & prediction.
- Code translation (Java to Go) using OpenAI GPT-4.
- Root cause analysis of CI logs using drain3, deployed with Docker.
- LLM-based test case generation with RAG; used llama3, MIXTRAL, reranker, various embeddings, PDF/CSV parsers.
Data Scientist
- Federated Learning: Class imbalance-aware aggregation for KPI degradation classification.
- Power outage prediction using DL on structured outage data.
- Log analysis using ELK stack, heuristic parsers, and BERT-based models.
- Churn classification using H2O, MLflow, SHAP, LIME.
L&T Technology Services (Bangalore, India)
Senior Engineer (Jun 2018 – Jul 2019)
- Predictive maintenance for CNC tools, time series (LMP) forecasting via LSTM/ARIMA.
- Vehicle routing optimization using GA.
- Log anomaly detection using autoencoders and ML; authored white paper.
- Developed analytics module for LTTS AIKNO framework.
Yatra Online Pvt Ltd (Gurgaon, India)
Intern (Research) (Jan 2018 – Apr 2018)
- Built chatbot using LSTM for enhanced human interaction on web/mobile app.
Publications
Journal Articles
IEEE Transactions on Artificial Intelligence, 2023
IEEE Transactions on Computational Social Systems, 2022
Quality and Reliability Engineering International, 2021
Communications in Statistics-Simulation and Computation, 2020
Journal of Statistical Computation and Simulation, 2019
Journal of Statistical Theory and Practice, 2019
Annals of Data Science, 2022
Annals of Data Science, 2018
American Journal of Mathematical and Management Sciences, 2019
American Journal of Mathematical and Management Sciences, 2018
Quality Technology & Quantitative Management, 2022
Statistics, 2018
Communications in Statistics-Theory and Methods, 2020
Conference Papers
IEEE ICMLA, 2021
ACM Hypertext and Social Media, 2021
HPC Applications Conference, 2014
EMNLP, 2023
Interdisciplinary Research in Technology and Management, 2021
Preprints & arXiv
arXiv, 2025
arXiv, 2025
arXiv, 2025
arXiv, 2024
arXiv, 2023
arXiv, 2022
Patents
US Patent App. 18/688,403, 2024
Professional Activities
I am serving as a reviewer of the following journals:
- Neural Networks
- PLOS ONE
- Expert Systems with Applications
- IEEE Internet Computing
- IEEE Transactions on Computational Social Systems
- Communications in Statistics-Simulation and Computation
Research Interests
- Reliability and Survival Analysis
- LLM & GenAI
- Federated Learning
- Graph Neural Network
- Meta Learning
- Anomaly Detection and Prediction
- Log Analysis
- Time Series
- Multi-task NLP
- Multi-objective optimization (Portfolio / Vehicle routing etc) using meta-heuristic algorithms
Collaborators
- Prof. Sriparna Saha (IIT Patna)
- Prof. Arnab Kumar Laha (IIM Ahmedabad)
- Dr. Ritwik Bhattacharya, Department of Mathematical Sciences, University of Texas at El Paso
- Prof. Biswabrata Pradhan, SQCOR unit, ISI Kolkata
- Dr. Yogesh Mani Tripathi, Department of Mathematics, IIT Patna
Students
M.Tech Thesis Guided
- Abhilash Kar (2025) - Time Series Anomaly Detection using Transformer Models, M.Tech QROR, ISI Kolkata
- Arunava Phadikar (2025) - LLM For Hate Speech Detection, M.Tech QROR, ISI Kolkata
- Sounak Biswas (2025) - Survival Analysis using Deep Learning, M.Tech QROR, ISI Kolkata
- Deepak Pal (2025) - Multimodal Chatbot for Skin Disease Diagnosis, M.Tech QROR, ISI Kolkata
Bachelor Thesis Guided
- Asmit Bandyopadhyay (2025) - Multimodal Human Activity Recognition Using Federated Large Language Model (Dept. of Computer Science, IEM, Kolkata)
- Dnyaneshwari Ghare (2025) - Medical Supply Chain Optimization, Dept. of Industrial Engineering, IIT, Kharagpur
Teaching
- Reliability 1, M.Tech QROR 2nd Semester (Completed)
- Reliability 2 (Jointly with Prof. Biswabrata Pradhan), M.Tech QROR 3rd Semester (Ongoing)
- Business Analytics (Jointly with Prof. Prasun Das), M.Tech QROR 3rd Semester (Ongoing)