Bharadwaj Phani Datta Mahanthi

https://www.linkedin.com/in/bharadwaj-phani-datta-mahanthi-34b408213/

An organized and trustworthy candidate who successfully handles many priorities while maintaining a positive attitude. Willingness to take on added responsibilities to meet team goals. Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. They are proven to understand customer requirements and translate them into actionable project plans and are dedicated and hard-working with a passion for Big Data.

MSc Dissertation

Completed my Dissertation in Software Defined Networking using Machine Learning algorithms to create a defence mechanism for the SDN.

Edge Vision

Worked with a team of three members on a small-scale business report for the Edge Vision Company with the help of the IKEEP Set Squared Partnership from the University and created KPIs for the problem of traffic congestion in the UK and how the Edge Vision technology can help with that problem.

• edX Verified Certificate for Introduction to Cloud Infrastructure Technologies - edX License number:- c0c12e3463854a51a383a279c72bb69a
• edX Verified Certificate for Introduction to Open Source Networking Technologies - edX License number:- 0403bb72b6b8494990a6f3e3536a293b
• edX Verified Certificate for Python Basics for Data Science - edX License number:- 7dd2633ff848451ab8af315e6402006e
• edX Verified Certificate for Data Science: R Basics - edX License number:- 830ae71d1f2d4e808ed3a22097406ffe
• Software Defined Networking - Coursera License number:- BV9WK527EYCP
• SETsquared Partnership IKEEP Programme Intrapreneurial Training Award - University of Surrey IKEEP
• SETsquared Partnership IKEEP Programme Intrapreneurial Project Placement Experience Award - University of Surrey IKEEP
• IELTS - British Council License number:- 20IN010547MAHB001A

GK. Chakravarthy et al., GK.C. et al. (2020). Malware Detection using Honeypot based on Machine Learning. International Journal of Computer Science Engineering and Information Technology Research, 10(1), pp.37–44. doi:10.24247/ijcseitrjun20205.

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