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Pranali Salwatkar
Senior Software Engineer Email: pranali.salwatkar@gmail.com
Persistent Systems Limited Phone: +91 9579482485
Summary
A Computer Science engineer having 2+ years of experience in C# and Web Services with
knowledge of Data Structure, Programming and Web Services. Seeking for the programmer’s
position which will provide me the opportunity to develop skills in designing software
application and utilize my coding skills.
Experience
Persistent Systems Limited
Senior Software Engineer (November, 2014 – Current)
Neuron Re-loaded and Mobile Apps - Verso Pension Fund Management Platform
Technology Used: C#, Restful Web API, Xamarin, MS SQL Server, ASP.NET MVC
Team Size: 20
Description: It is a Financial Service project for designing mobile application (Android, iOS) for user of
the system like trustees and members. The App is designed to handle the fund application of the user in
both online and offline mode.
Responsibilities
 Creation of web services to allow communication between mobile application and Database.
 Creation of middle layer to allow communication between mobile application and web service.
 Handling of SQL stored procedures.
 Indulge in analyzing technical requirement and details required for developing the system.
Capital First – Loan Approval System
Technology Used: Salesforce, JQuery
Team Size: 30
Description: Capital First is the Financial Institution in India. Capital first provide personal loan against
different assets like loan for Consumer durables, Two wheeler loans, Used Car loans and Personal
Loans.
Responsibilities
 Creation of loan application forms forms.
 Testing of loan applications.
 Indulge in creating documentation.

Work Experience
 Worked on C#
 Worked on .NET Web API
 Worked on Android mobile app in Xamarin
 Worked on Windows mobile app in Visual Studio
 Knowledge of SQL server
 Knowledge of MVC application
 Knowledge of .NET
 Worked on Salesforce platform
Education
 B.E. Yeshwantrao Chavan College Of Engineering Nagpur (2011-2014) - 8.66 CGPA
 Diploma Government Polytechnic Nagpur (2008-2011) – 86.27 %
 SSC (2007-2008) – 89.53 %
Projects
Video Steganography
Organization: During academics - Diploma
Technology Used: Java
Team Size: 4
Description: Video Steganography is the process of hiding some secret information inside a video. This
information to the video is not recognizable by the human eye as the change of a pixel color is egligible.
LSB (Least Significant Bit) Algorithm is used to encode the message in video file. Different Video formats
were supported by the system.
Face Recognition System Using Optimum Feature Selection Algorithm
Organization: During academics - Graduation
Technology Used: MATLAB
Team Size: 5
Description: It was a research based project. The project is about recognizing the human face using
minimum facial features using Particle Swarm Optimization algorithm. The project is capable of
identifying face using facial features via image source.
Awards and Acknowledgments
 Received “You made a Difference Awards” for excellent work in Neuron Reloaded and Mobile
Apps.
 Received “Customer Appreciation” for Neuron Reloaded and Mobile Apps for good delivery of
product.
 Deployed “Intouch By Verso” mobile app on Play Store.
Skill Set
 Programming Languages: C, C++, C#, Java
 Database Management Systems: MySQL, SQL Server
 IDE: Visual Studio, SharpDevelop, CodeBlocks, Notepad++, Eclipse, Xamarin Studio
 Key Courses Undertaken: Data Structure, Web API, MVC, JQuery, HTML

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Pranali Salwatkar

  • 1. Pranali Salwatkar Senior Software Engineer Email: pranali.salwatkar@gmail.com Persistent Systems Limited Phone: +91 9579482485 Summary A Computer Science engineer having 2+ years of experience in C# and Web Services with knowledge of Data Structure, Programming and Web Services. Seeking for the programmer’s position which will provide me the opportunity to develop skills in designing software application and utilize my coding skills. Experience Persistent Systems Limited Senior Software Engineer (November, 2014 – Current) Neuron Re-loaded and Mobile Apps - Verso Pension Fund Management Platform Technology Used: C#, Restful Web API, Xamarin, MS SQL Server, ASP.NET MVC Team Size: 20 Description: It is a Financial Service project for designing mobile application (Android, iOS) for user of the system like trustees and members. The App is designed to handle the fund application of the user in both online and offline mode. Responsibilities  Creation of web services to allow communication between mobile application and Database.  Creation of middle layer to allow communication between mobile application and web service.  Handling of SQL stored procedures.  Indulge in analyzing technical requirement and details required for developing the system. Capital First – Loan Approval System Technology Used: Salesforce, JQuery Team Size: 30 Description: Capital First is the Financial Institution in India. Capital first provide personal loan against different assets like loan for Consumer durables, Two wheeler loans, Used Car loans and Personal Loans. Responsibilities  Creation of loan application forms forms.  Testing of loan applications.  Indulge in creating documentation.  Work Experience  Worked on C#  Worked on .NET Web API
  • 2.  Worked on Android mobile app in Xamarin  Worked on Windows mobile app in Visual Studio  Knowledge of SQL server  Knowledge of MVC application  Knowledge of .NET  Worked on Salesforce platform Education  B.E. Yeshwantrao Chavan College Of Engineering Nagpur (2011-2014) - 8.66 CGPA  Diploma Government Polytechnic Nagpur (2008-2011) – 86.27 %  SSC (2007-2008) – 89.53 % Projects Video Steganography Organization: During academics - Diploma Technology Used: Java Team Size: 4 Description: Video Steganography is the process of hiding some secret information inside a video. This information to the video is not recognizable by the human eye as the change of a pixel color is egligible. LSB (Least Significant Bit) Algorithm is used to encode the message in video file. Different Video formats were supported by the system. Face Recognition System Using Optimum Feature Selection Algorithm Organization: During academics - Graduation Technology Used: MATLAB Team Size: 5 Description: It was a research based project. The project is about recognizing the human face using minimum facial features using Particle Swarm Optimization algorithm. The project is capable of identifying face using facial features via image source. Awards and Acknowledgments  Received “You made a Difference Awards” for excellent work in Neuron Reloaded and Mobile Apps.  Received “Customer Appreciation” for Neuron Reloaded and Mobile Apps for good delivery of product.  Deployed “Intouch By Verso” mobile app on Play Store. Skill Set  Programming Languages: C, C++, C#, Java  Database Management Systems: MySQL, SQL Server  IDE: Visual Studio, SharpDevelop, CodeBlocks, Notepad++, Eclipse, Xamarin Studio  Key Courses Undertaken: Data Structure, Web API, MVC, JQuery, HTML