RUSHBHA INGOLE

M.Tech (Communication Engineering and Network)

National Institute of Technology Karnataka, Surathkal, India Gender: Male Date of Birth: 30/08/1995

Contact: +91-848******* Email: admgeb@r.postjobfree.com Linguistic Proficiency: English, Hindi, Marathi

Educational Qualification:

Degree/ Examination

Year of

Passing

School/Institute Board/University

Percenta

ge/ CGPA

M.Tech (Communication

Engineering and Network) 2021

National Institute of

Technology, Karnataka

National Institute of

Technology, Karnataka 6.58

B.E (Electronics and

Telecommunication)

2018

Sinhgad College of

Engineering, Pune

Savitribai Phule Pune

University, Pune

58.57

Intermediate 2013

Kendriya Vidyalaya, NRC

CBSE 63.4

Highschool 2011

Kendriya Vidyalaya, NRC

CBSE 9.4

Experience:

ABB GISPL (Jan 2021 to Present)

Research Intern

Bangalore, IN

• Worked on project titled “Intelligent Engineering tool for a TSN-enabled system”.

• TSN, NETCONF, OPC-UA, Socket Programming.

Project Work:

• Design and Implementation of Massive MIMO Systems for 5G Wireless Networks Overview about URPA (Uniform Rectangular Planar Array) and other planar massive MIMO with reference to PER (Packet Error Rate) and channel performance by using Omnet++ network simulator with the intention of actualizing the existing simulation instruments to be suitable also for 5G wireless network communication systems.

• Building a classifier to predict whether a loan case will be paid or not (ML) Comparison of Classification model likes KNN, Decision Tree, SVM and Logistic Regression by having a dataset of loan case along with accuracy measurement.

• Comparison of Routing Protocols in WSN using NS-3 Four routing protocol AODV, DSR, OLSR and DSDV performance are compare considering the different performance metrics such as throughput, end to end delay and jitter to analyze the lifetime of nodes with use of NS-3 simulation tool.

• Automatic Attendance Management System Using Face Recognition (ML) Face Recognition is used for automatic attendance. For recognition Hidden Markov Model

(HMM) and Singular Values Decomposition (SVD) coefficients is used as features describing blocks of face images

Areas of Interest:

• 5G, MIMO, Networking

• Machine Learning, Deep Learning

• Data Structures and Algorithms

• Operating System

Technical Skills:

• Programming Languages: C, C++, Python

• Simulation software: MATLAB, CST, ADS, NS-3, NetSim, Omnet++

• Operating Systems: Microsoft Windows, Unix

Academic Achievements and Co-Curricular Activities:

• Completed Machine Learning with Python by IBM (Coursera)

• Completed Deep Learning Specialization (Coursera)

• Completed Python for Everybody Specialization (Coursera)

• Presented seminar on Wireless Powered Communication Networking

• Attended Certified Ethical Hacking Expert workshop in association with the IIT Powai at Sinhgad Technical Education Campus, Pune.

• Completed the training program on C & C++ in association with the Microsoft Authorized Education Reseller.

• Completed the training program on IOT.

Extracurricular Activities:

• Member of NITK Student’s Council

• Certificate course in C & C++ from Center for Advanced Technologies, Pune

• Participated in event TECHNICAL AMBASSADOR organized by Sinhgad Institutes

• Participated in event ACCUMEN organized by Sinhgad Institutes Declaration:

I hereby declared that all the above information is correct and accurate.

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