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About me
About me
I am Sushodhan Vaishampayan. Born in Nashik, India. Currently, I am working as an IT Analyst (Research) at Tata Consultancy Services (TCS) Research, Pune. Along with it, I am pursuing PhD at Mehta Family School of Data Science and Artificial Intelligence at Indian Institute of Technology, Guwahati (IITG) under the supervision of Dr. Teena Sharma, Dr. Rhythm Grover, and Dr. Sachin Pawar (TCS Research). My areas of interest are in Anomaly Detection, Time-Series Analysis (TSA), eXplainable Artificial Intelligence (XAI) and Causal Discovery.
I am Sushodhan Vaishampayan. Born in Nashik, India. Currently, I am working as an IT Analyst (Research) at Tata Consultancy Services (TCS) Research, Pune. Along with it, I am pursuing PhD at Mehta Family School of Data Science and Artificial Intelligence at Indian Institute of Technology, Guwahati (IITG) under the supervision of Dr. Teena Sharma, Dr. Rhythm Grover, and Dr. Sachin Pawar (TCS Research). My areas of interest are in Anomaly Detection, Time-Series Analysis (TSA), eXplainable Artificial Intelligence (XAI) and Causal Discovery.
Work Experience
Work Experience
Systems Engineer, TCS Research, TRDDC, Pune (August 2019 - Present)
Software Engineer, Harbinger Systems Pvt. Ltd. (October 2016 - August 2017)
Programmer Analyst Trainee, Cognizant Technology Solution India Pvt. Ltd. (February 2016 - October 2016)
Education
Education
M. Tech.* - Computer Engineering, College Of Engineering Pune (2017 - 2019).
B.E. - Information Technology, MIT College Of Engineering, Pune ( 2012 - 2015).
Diploma - Information Technology (2009 - 2012).
*You can find my M. Tech. thesis here.
Girish Keshav Palshikar, Manoj Apte, Sushodhan Vaishampayan and Akshada Shinde, "Causality in Time-Series: A Short Review", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 723-748. https://doi.org/10.56155/978-81-955020-2-8-64.
Pawar, Sachin, Manoj Apte, Aditi Pawde, Sushodhan Vaishampayan, Girish Palshikar, and Akshada Shinde. 2023. “Dig Here! Extracting and Using Knowledge from Financial Audit Reports”. The International FLAIRS Conference Proceedings 36 (1). https://doi.org/10.32473/flairs.36.133265.
Vaishampayan, Sushodhan, Akshada Shinde, Aditi Pawde, Sachin Pawar, Manoj Apte, and Girish Keshav Palshikar. "Explainability for Misinformation in Financial Statements." (2022).
Pawde, Aditi, Sushodhan Vaishampayan, Akshada Shinde, Manoj Apte, Girish Keshav Palshikar, and Arun Jamkar. "Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals." SN Computer Science 3, no. 5 (2022): 1-18.
Shinde, Akshada, Sushodhan Vaishampayan, Manoj Apte, and Girish Keshav Palshikar. "Unsupervised Detection of Misinformation in Financial Statements." The International FLAIRS Conference Proceedings, vol. 35. 2022.
Vaishampayan, Sushodhan, Aditi Pawde, Akshada Shinde, Manoj Apte, and Girish Keshav Palshikar. "Data Envelopment Analysis for Energy Audits of Housing Properties." In Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II, pp. 531-545. Cham: Springer International Publishing, 2022..
Apte, Manoj, Sushodhan Vaishampayan, and Girish Keshav Palshikar. ”Detection of causally anomalous time-series.” International Journal of Data Science and Analytics 11,no. 2 (2021): 141-153.
Vaishampayan, Sushodhan, Girish K. Palshikar, Manoj Apte, and Vahida Z. Attar. ”Causality: An Overlooked Aspect in Anomaly Detection.” In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 2413-2417. IEEE, 2019.
Get in touch at sushodhan@gmail.com
Get in touch at sushodhan@gmail.com
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