Parappa Mali

Personal Information Name: Parappa Mali Email-ID-Address:- Contact:- S/O: Ramappa A. Mali Years of Experience in industry: 2 Years 6 Months At/Post: Mugalkhod Years of Experience in teaching: 5 Years Dist:Belagavi Date of Birth: 01/06/1988 State:Karnataka Country:India Executive Summary Overall 5 years of Experience in the field of teaching domain. Overall 2 years 6 months of Experience in the field of Industry. Nine months of Experience in System Testing in domain of GSM/GPRS. Experience in writing test cases and test scripts in Perl script. Experience in writing test cases and test scripts in Python script. Ten months of Experience in AP build, First level of debugging for UMTS and REGI-Maintenance of USS. Project Summary S.N. Project Name Role/Competency Tools (Platforms/OS to be included) 1 REGI-Maintenance of USS System testing Tools : Telelogic TTCN OS : PC-Windows 2 Kapsch GSM Project System testing Tools : Nethawk OS : Cygwin, PC-Windows 3 White Call analysis Development Tools : Clearcase OS : Cygwin, PC-Windows Employment History Employer Name Designation Duration Sjpn Trust’s Polytechnic,Nidasoshi Lecturer July 2013 –2018 Sasken Communication Technologies Ltd Engineer - Software Oct 2010 – April-2013 Education Details College/University Degree Specialization Percentage Duration VTU Belgavi M.Tech-Master of Technology Industrial Electronics 86.81% October 2018-September 2020 VTU Belgavi BE - Bachelor of Engineering Electronics & Communications 74.52% June 2006 - May 2010 Sri.Vrishbhendra Independent Pre University science college PUC SCIENCE 83.50% July 2004 – April 2006 B.N.Kuligod High school,Mugalkhod SSLC 86.72% June 2003-April 2004 Project Details 1. REGI-Maintenance of USS The USS is a testing system which can simulate the testing environment for 2G/2.5G/3G/3.5G/3.75G technologies. The USS comprises of the following components · Simulation of the entire protocol stack of the BS or Node B · Interface between the BS and the User Equipment (UE) · Simulation of Layer1/Physical layer of the UE. Responsibilities: Debugging and fixing the failed test case issues. Integrated testing using ARTS. Fixing Build errors Duration: Jan 2012 - Nov 2012 Tools: Telelogic TTCN OS: PC-Windows (KMAP Level 3) Languages: TTCN-2 2. Kapsch GSM Project This is a testing project for GSM for Railways. The GSM/GPRS network can be classified broadly into the NSS and the BSS. The communication between all the elements is through the specified standards and Interfaces. GSM is based on Circuit Switch technology and GPRS is based on the Packet Switch Technology.The project includes designing of test cases to be tested and installed into the NSS / BSS system and verification of its functionality. Installation of software, Up gradation of software, Soak, networking between system and new software releases are done by executing Solutions System Test (SST) cases. The project also handles the Lab readiness activity, which includes the test setup and configuration of the tools to perform the test cases. Responsibilities: Involved in Test case development Involved in Development of test Scripts Involved in Test execution and Result analysis Duration: March 2011 - Dec 2011 Tools: Nethawk (KMAP Level 3) OS: Cygwin (KMAP Level 4) PC-Windows (KMAP Level 3) Languages: Perl (KMAP Level 5) Shell script 3. White Call analysis This project involves development of White Call analysis Tool. The purpose of the tool is to analyze Call Drop from Fault Notification & TCU_PCM_ater file.Tool should identify the dump of 1315 from the Notification file. There will be several such dumps of 1315 and tool has to analyze all such dumps and find IN serving CEM (Providing Service), Serving TCU CEM, Active SRT from Notification file provided. Also take the 'pcm_ater' value from the 1315 Notification Dump and find TCU Number belonging to that 'pcm_ater' from PCM_Ater file. Responsibilities: Involved in tool development Involved in test case development Unit testing and system testing Duration: July 2011 - Aug 2011 Tools: Clearcase (KMAP Level 3) OS: Cygwin (KMAP Level 3) PC-Windows (KMAP Level 3) Languages: Perl (KMAP Level 5) 4. Experience in Teaching I am in teaching domain since 2013.I have taught various subjects and Labs to students every year. The subjects are Analog communication, Microcontroller 8051, Industrial automation, Advanced Communication, Digital communication, Data communication and Networking, Software Testing and Labs are Analog communication lab, Microcontroller 8051 lab, PCB designing and Fabrication. Responsibilities: Involved in preparation of notes. Involved in preparation of subject. Involved in preparation of Lab. Duration: July-. 5. Internship details Title: “Python programming and Library Management System using Python”. Description: The main operations in a Library involves organizing the books, issuing books to students, recording the issue and submitting of books and managing the student details. These operations are simplified by using Library Management System software. This product is implemented using Python as programming language and SQLite is used as database backend. Through this software user can add student details, add department, add books, search USN, search books, update information, edit information, borrow and return books using bar code scanner in quick time. Key-Technologies: Language : Python Operating system : Windows 10 Software : Anaconda Navigator (version-3.6.5) 6. MTech Project Title: “Channel Modelling, Threshold Estimation and Priority Allocation for Open Air Network”. Description: Problem Statement An evaluation of the adapted filter-based spectrum detection procedure in Cognitive Radio using MATLAB simulation. Objective of the Project In this project, when implementing an adapted filter method, we can say that as the SNR value increases, the probability of detection increases. By studying the matching filter parameters, we can say that as the number of samples increases, the probability of detection increases and the SNR improves. Therefore, the combined filter is also used to improve SNR in wireless communication. At low SNR, the 1 dB matched filter method is more efficient than the energy detection method. Therefore, the matched filter method provides a higher probability of detection at low SNR values. Scope of a Project In this project we use the filter model adapted to detect a PU signal based on the single-user detection model. In the future, we can use the fusion centre concept for the given model used in this document to make the best decision about the presence or absence of a PU in a particular traffic channel. Key-Technologies: Language : MATLAB Operating system : Windows 8 Software : MATLAB 14a 7. Data Science project on MVR: Title: Predicting Boston House prices using python and Multivariable Regression Description: Data analysis, exploration, engineering features, handling null values to estimate the pricing of houses using various factors. Method used: Multivariable Regression. Libraries used: Pandas, Numpy, Matplotlib, sklearn, Seaborn, Statsmodel etc. 8.Programming Experience: Programming language : Python Data types and Variables, String Manipulation, Functions, Objects, Lists,Tuples, Dictionary, Loops and Iterations, Conditional and control flow, Error handling, Modules , Generator functions, NLP Frameworks: pandas, numpy, scipy, sympy, sklearn, matplotlib, seaborn Mathematical Models: 1. Linear Regression 2. Multivariable Regression 3. Gradient Descent Algorithm 4. Naïve Bayes Classifier 5. Neural networks 6. Deep learning Technical Activities: Took two months training on DataScience with python I have completed course on “Data Science with Python” at Nuage Compusys Technologies Pvt Ltd, Bangalore. Declaration I hereby declared that all the details furnished here are true to the best of my knowledge and belief. PLACE: MUGALKHOD SIGNATURE (PARAPPA MALI)