Lectures for outreach
Two-Week Training Programme on Big Data Analytics, Artificial Intelligence, and Machine Learning Using Python, (A B2B Training Programme for NSSTA, MoSPI, Govt. of India) IIT KHARAGPUR AI4ICPS I HUB FOUNDATION (2nd March-13March,2026).
Topic : Foundations of Probability and Statistics with Linear Algebra for Machine Learning
Refresher Course on “Foundations of Data Science and Machine Learning for STEM Professionals”, held from 3rd to 15th November 2025, organized by the Centre for Training and Learning (CTL) and the Department of Mathematics, NIT Warangal.
Topic: Regression and its application in ML
Workshop in introduction to interdisciplinary research using data science using R programing( Duration: 3rd Febr-8th Feb 2025 )
Topic: Multivariate Statistical Methods using R
DST-SERB Sponsored National Workshop On Probability and Statistics with Applications (Duration: 28th Nov-2 nd Dec 2024)
Topic: Regression & it's applications in ML
National Short-term Training Programme (NSTTP) from August 7 - 11, 2023 , Siksha 'OAnusandhan Deemed to be University, Bhubaneswar,
Topic: "Statistical Machine Learning".
Training Programme on Statistical Foundations of Data Science and Machine Learning” under the AICTE Training and Learning (ATAL) Academy (LINK)(27th October – 31st October 2021)
Topic: Fundamental of Probability , convergence, Monte-Carlo Methods.
TEQIP-III-FDP on "Mathematics of Deep Learning" : IIT Kharagpur (Kolkata ext. centre), 19-23 Feb. 2020
Topic : Probability, Statistics and Information Theory + Statistics Lab
Foundation of AI and ML, Centre for Excellence in AI, IIT Kharagpur in 2019
Topic: Sampling distribution, Parametric Estimation, Bayesian Estimation + Statistics Lab
Refresher Course for the Scientists of ISRO, Mining Eng. Department , IIT Kharagpur 16-26, April 2018
Topic : Probability, Statistics and Information Theory + Statistics Lab
Short term course on ‘Statistical Methods in Data Analysis’ in Department of Mathematics, IIT Kharagpur on 25th Feb -1st Mar, 2017
Topic : Non-parametric Statistics + Statistics Lab