Sayali Naval

ac8ynp@r.postjobfree.com *** Columbus Ave, Apt 2, Syracuse NY 13210 www.linkedin.com/in/sayalinaval

+1-315-***-**** https://github.com/sayalinaval

EDUCATION

Master of Computer Science, Syracuse University CGPA: 3.556/4.0 Expected: May ‘19 Coursework: Internet Programming, Design Patterns, Principles of Operating System, Blockchain and Cryptocurrencies, Social Media Data Mining, Structural Programming and Formal Methods, Object Oriented Design, Design and Analysis of Algorithms, Software Modelling and Analysis, Computer Architecture Bachelor of Engineering, Electronics and Telecommunication Engineering, Pune University, India May ‘14 TECHNICAL SKILLS

Languages & Scripting: C, C++, Java, C#, Python, Haskell, SQL, HTML5, JavaScript, CSS, MATLAB, Solidity, Mainframe Platforms and Tools: ASP.NET Framework, Visual Studio Code, Windows Presentation Foundation (WPF), Windows Communication Foundation (WCF), Jupyter, MySQL DB, NoSQL DB, Oracle DB, DB2-z/OS, LaTeX, Version Control, Ethereum PROFESSIONAL EXPERIENCE

State University of New York Upstate Medical University, Syracuse NY Software Developer Jun’18 – Present Implementing image processing tools in C++, JavaScript and MATLAB under Dr. Andrzej Krol funded by NIH.

• Improved algorithms aiming for tomographic reconstruction of PET data

• Tested and validated PAPA and Siemens clinical algorithms for image reconstruction of clinical images Larsen & Toubro Infotech, India Software Engineer Jan ‘15 – Jul ‘17 Responsibilities included analysis, development and enhancement of different applications, enhancing programming and analytical skills, gaining proficiency in various programming languages, error free application delivery, mentoring team members, managing team and taking up leadership responsibilities. Projects

Premium Pipeline (The Travelers Companies, US)

• Developed and modified applications for calculating and processing insurance data for various systems

• Performed requirement gathering, analysis, providing estimation and preparation of understanding document

• Appreciated by client for error free application delivery and execution of time-bound deliverables Barclays Africa Technology Corporate Cash Management and Channels (ABSA, South Africa)

• Created payment handling gateway and managed financial transaction warehousing

• Accomplished requirement gathering, analysis and preparation of solution and design document, application development, unit testing, monitoring production release

• Developed front end screen changes for Clients, showing bank transactions and account details ACADEMIC PROJECTS

Nucleus Message Passing Fall ‘18

• Implemented system calls, to be called by user programs for asynchronous message passing

• Developed using C++ in Not Another Completely Heuristic Operating System (NACHOS) Remote Code Repository Spring ‘18

• Built a NoSQL database that stores key/value pairs and maintains parent/child relationships

• Developed a Remote Code Repository, local Client, and communication channel supporting client access to the Repository from any internet enabled processor, implemented in C++ using Visual Studio 2017 Success Rate Analysis of an Actor Spring ‘18

• Analyzed success rate of an actor for different movie genres using content-based analysis on IMDB dataset

• Implemented in Python using IMDB database and Gaussian Naïve Bayes model Remote Build Server Fall ‘17

• Designed a Build Server, an automated tool to build test libraries, implemented in C# using .NET Framework

• Implemented WCF for Asynchronous Message Communication and WPF to build the GUI Blood vessel segmentation for retinal fundus images for diagnosis of diabetic retinopathy May ‘14

• Developed in MATLAB using Matched filtering; Artificial Neural Network based pattern classifier for blood vessels and Scale space analysis based on Wavelets

RECOGNITION AND ACTIVITIES

• Received ‘Excellent Performance Award’ in recognition of outstanding work in implementation of Software Enhancement Release at Scintillations - 2016, Larsen & Toubro InfoTech’s Annual event held on January 18, 2016

• Blood vessel segmentation in retinal fundus images using matched filter - Presented at National Conference for Students in Electrical and Electronics Engineering (NCSEEE)

Contact this candidate