SAP Signavio


Certified Data Scientist specializing in Process Mining from Fraunhofer FIT, Germany, with over 12 years of enterprise experience. Proven expertise as a Solution Lead, driving initiatives in AI/ML, process intelligence, ERP system integration, and intelligent automation. Skilled in leveraging data-driven insights to optimize business processes and enhance operational efficiency. Committed to delivering innovative solutions that align with organizational goals and foster continuous improvement.
Key Responsibilities & Achievements:
Key Responsibilities & Achievements:
Key Responsibilities & Achievements:
Course: ECE 502 (IT) – Microprocessor and Its Applications
Key Responsibilities & Achievements:
SAP Signavio
Celonis
PROM and PMTK
Python
Python
Automation Anywhere
JD Edwards Enterprise One
Journals
[1] Runu Banerjee (Roy), Angiras Modak, Sourav Mondal, Bipan Tudu, Rajib Bandyopadhyay, Nabarun Bhattacharyya,
Fusion of Electronic Nose and Tongue Response Using Fuzzy based Approach for Black Tea Classification,
Procedia Technology, Volume 10, 2013, Pages 615-622, ISSN 2212-0173, doi: https://doi.org/10.1016/j.protcy.2013.12.402.
[2] Banerjee (Roy), Runu; Modak, Angiras; Tudu, Bipan; Bandyopadhyay, Rajib; Bhattacharyya, Nabarun, "Improved Classification of Black Tea Employing Fuzzy Fusion of Electronic Nose and Tongue Responses", Sensor Letters, American Scientific Publishers, Volume 12, Numbers 6-7, June 2014, pp. 1065-1069(5), doi: https://doi.org/10.1166/sl.2014.3173.
[3] A. Modak, D. Das, T. N. Chatterjee, B. Tudu and R. Banerjee Roy, "Regression-Based EGCG Detection in Green Tea Employing MIP Electrodes," in IEEE Sensors Journal, vol. 24, no. 11, pp. 18090-18097, 1 June 1, 2024, doi: https://doi.org/10.1109/JSEN.2024.3390438.
Conference Proceedings
[1] Runu Banerjee (Roy), Angiras Modak, Bipan Tudu, Rajib Bandyopadhyay, Nabarun Bhattacharyya, “Improved Classification of Black Tea Employing Fuzzy Fusion of Electronic Nose and Tongue Responses,” 15th International Symposium on Olfaction and Electronic Nose, EXCO, Daegu, S.Korea, July 2-5, 2013.
[2] Runu Banerjee (Roy), Angiras Modak, Sourav Mondal, Bipan Tudu, Rajib Bandyopadhyay, Nabarun Bhattacharyya, “Fusion of electronic nose and tongue response using fuzzy based approach for black tea classification,” International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA-2013), University of Kalyani, September 27-28, 2013.
[3] Angiras Modak, Runu Banerjee(Roy), Bipan Tudu, Rajib Bandyopadhyay, and Nabarun Bhattacharyya. 2015. Towards artificial flavor perception of black tea: An approach using fusion of electronic nose and electronic tongue responses with fuzzy ART classification technique. In Proceedings of the 2nd International Conference on Perception and Machine Intelligence (PerMIn '15). Association for Computing Machinery, New York, NY, USA, 246–251. doi: https://doi.org/10.1145/2708463.2709040.
[4] Angiras Modak, Runu Banerjee (Roy), Bipan Tudu, Rajib Bandyopadhyay, Nabarun Bhattacharyya, “A novel fuzzy based signal analysis technique in electronic nose and electronic tongue for black tea quality analysis”, IEEE First International Conference on Control, Measurement and Instrumentation (CMI), January 2016. doi: https://doi.org/10.1109/CMI.2016.7413755.
[5] A. Modak, T. N. Chatterjee, S. Nag, R. B. Roy, B. Tudu and R. Bandyopadhyay, "Linear Regression Modelling on Epigallocatechin-3-gallate Sensor Data for Green Tea," 2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Kolkata, India, 2018, pp. 112-117, doi: https://doi.org/10.1109/ICRCICN.2018.8718696.
[6] A. Modak, D. Das and R. B. Roy, "Classification of Green Tea Samples Based on Epigallocatechin-3-Gallate Content Using Molecular Imprinting Polymerization Technique," 2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC), Kolkata, India, 2024, pp. 355-360, doi: https://doi.org/10.1109/CIEC59440.2024.10468449.
[7] Modak, A., Moulick, M., Roy, R.B. (2025). Efficient Near Infrared Spectroscopy Based Feature Selection of Tannic Acid for Black Tea Evaluation. In: Singh, J.P., Singh, M.P., Singh, A.K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2024. Communications in Computer and Information Science, vol 2367. Springer, Cham. doi: https://doi.org/10.1007/978-3-031-81339-9_13.