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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn GitHubEDUCATIONMaster of Science, Computer Science Expected December Street Address Arizona State University, Tempe, Arizona GPA: 3.67/4.00Bachelor of Engineering, Computer Science and Engineering May Street Address
Easwari Engineering College, India CGPA: 8.Street Address /10.0TECHNICAL SKILLSDynamics 365 E-Commerce, CRM, BC, ERP, MVC, C#, X++, .NET Core & Framework, HTML, Typescript, SQL Server, SSMSFull stack development incorporating APIs, Postman, IIS, ILSpy, DotPeek, and pipeline handling using Lifecycle Services (LCS)Selenium, MSOffice, Power Apps, REST, ReactJS, AngularJS, NodeJS, Agile Methodologies, Azure DevOps, Payment gateways, Data Analytics, SAP, CosmosDB, MongoDB, Python, JavaScript, C/C++, and Java and WebSec protocolsPostgres, Machine Learning, Data analysis & visualization tools & libraries, TensorFlow, Tableau, SciPy, Scikit, and MatplotlibPowerShell, Windows Server, GitLab, Robotic Process Automation tools, Automation Anywhere, UiPath, CUDA, and UnityCertifications: MB300, MB400, PL900 and AZ900PROFESSIONAL EXPERIENCEMicrosoft: Technical Consultant 10/2021 05/2023Empowered a client with 2800 stores and online commerce, delivering agile solutions using D365 Commerce Retail & AX with corresponding documentation (TDD), providing rapid responses to emergent requirements. Resolved critical production issues with precision and implemented measures for continuous improvement by brainstorming with the client directly and testingDelivered four critical functionalities using Dynamics 365 Commerce, CRM, Power Apps, and Business Central & supported design implementations, package deployments, and pipeline management through Azure DevOps & Lifecycle Services (LCS)Developed an API-based payment gateway for card & check transactions to eliminate hardware pairing and setup concernsCreated an Available to Purchase Cache system using Azure functions for retrieving and updating real-time ATP quantities across all stores for inventory lookup, delivery, pickup, and Final ATP check, for purchase, transfer, or return ordersAccenture: Packaged Application Development Senior Analyst 11/2020 08/2023Innovatively addressed Point of Sale requirements of nine clients as full stack developer in Dynamics 365 Commerce, providing cloud-based and application-based solutions. The role also included evaluation, testing, code reviews, & pipeline managementExecuted end-to-end development, including building application pages (HTML/Typescript/X++), utilizing Git, Azure, LCS, CRM, BC, and DevOps for seamless pipeline handling & deployment to ensure efficient database communication (C# & SQL)Orchestrated and directed nine vital projects, corroborating seamless team collaboration, and conducted rigorous testing sessions to validate & enhance submitted work, resulting in around 20-25% decrease in post-release bugs reportedPromoted to senior analyst within one year and selected as team lead for four of the nine projects, responsible for team guidance, including code reviews and advice to the team for priority requirements and issuesAchieved Ace award twice and Sparkling Star award once, for handling six critical clientsAccenture, India: Software Development Intern 01/2020 04/2020Rapidly attained proficiency in robotic process automation tools, Automation Anywhere, & UiPath, through professional courses, demonstrating swift adaptation and skill application to deliver inventive solutions for automating recurrent tasksACADEMIC/RESEARCH PROJECTSBlending Graph U-nets and Graph Neural Diffusion for Node Classification 08/2023 12/2023Successfully initiated and led a research project in collaboration with the professor, integrating Graph U-nets and GRAND to demonstrate precise GNN classification, achieving an increase in accuracy for Cora and Cite seer datasets using PythonAcquired knowledge on how GNN and GRAND work to merge them, significantly enhancing U-nets' effectiveness by1 - 2% for GNN predictions using Neural diffusion which incorporates continuous data prediction rather than discreteBanknote Recognition for Smart Transactions 09/2019 03/2020Established a project idea managing video-to-speech conversion and banknote recognition with 88% accuracy, facilitating easy transactions for visually challenged people using TensorFlow, by training a CNN, working on tensors to aid seamless image recognition, publishing a paper & delivering a prototype of solution to college for further research and development |
