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2A02:1811:D0F:8900:436:56C8:128F:AE2 (talk) 00:35, 23 May 2024 (UTC)

Saurabh Jaiswal is Python Expert born on 3rd Sep 1986 in Kanpur brought up from city of lakes Bhopal India.

• Current he is working as Consultant and Freelancer in the field of Python Development, Data Sciences, Machine Learning and Artificial Intelligence

• He Worked as an Assistant Vice President in JP Morgan Chase & Co. from April 2018 - April 2022

• Also he had worked in various MNC’s which includes HP, Accenture, Mphasis • He was awarded Junior Research Fellowship by DRDO in year 2008 (Selected first in 2 seats out of India), there he did research under the Guidance of Vice Chancellor Prof. L.M. Patnaik with special focus on Wirless Network Sensors, He was popularly know as VC fellow in DRDO during his fellowship period.

• He Pursued research in the field of Wirless Network Security under the guidance of M.M. Kuber Scientist 'E' Department of Computer Engineering.

• He is a Python Professional and worked various Analytics Projects in diversified domains like Banking, Network Security, Computational Fluid Dynamics, Energy Modelling etc.

• Key areas in analytics includes Risk Prediction and forecasting for Banks, Cyber Security and threat modelling. • where he has 2 contributions in M.Tech Dissertation Research under the guidance of Dr. R N Prahlad Scientist 'G', HOD,Department of Applied Mathematics.

1. Evaluation of Network Security Situation (NSS) using weighted model and wavelets with Prediction of NSS using Grey Theory.

2. Threat Assessment by Reverse Engineering using Genetic Algorithm on predicted NSS value.

• He is one of the Contributors in Python Software Foundation which develops and maintains Python Language from India.

• He is Certified Scrum Master and ITIL V3 Certified Professional

• He had done M.Tech. in Modelling and Simulation from DRDO

• One of his famous talks in Pycon 2016 International conference was on “Financial Modelling and Simulations with Python: using numpy, scipy, matplotlib and Pandas”.

References

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12]

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