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Click here or scroll down to respond to this candidateCandidate's Name
Street Address (470) 469-8327 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLEEDUCATIONUniversity of Michigan,Dearborn Dearborn, MIMaster of Science in Computer and Information Science April 2024Visvesvaraya Technological University Bangalore,IndiaBachelor of Engineer in Electronics and Communications Engineering Aug 2020SKILLS & INTERESTSLanguages: Python, SQL, HTML, CSS, NodeJS, TypeScript,R, Javascript, C#, C++Tools: Power Apps, Power Automate, Power BI, Azure Data Factory, Github, FigmaConcepts: Big Data, Agile methodology, design patternsIDE: VSCode, Visual Studio, Intellij, Jupyter Notebook, SSMS, Sql WorkbenchPROFESSIONAL EXPERIENCECGI Inc Dearborn,MIConsultant, Software engineer Aug 2023*Designed and developed Power BI dashboards and paginated reports, integrating data sources such as Dataverse and Azure SQLCustomized parametrized paginated reports to enhance responsiveness and sub-report structures, leading to a 30% increase in report accessibility on various devices.Developed solutions for proofing data using Azure functions in C# and Node.js, optimizing API calls to handle over a million records, which improved performance by 80%.Designed and implemented ETL processes using Azure Data Factory for efficient data migration between SQL and Dataverse, streamlining data workflows.Created model-driven apps with custom functions and web resource scripts, enhancing user experience.Developed Power Automate approval workflows with a state machine cycle, which reduced process times by 50% and improved workflow efficiency.Gained experience in developing function apps, web apps, SQL procedures, and triggers, and deploying them to Azure using CI/CD, leading to a 25% faster deployment cycle and reduced downtime.CGI Inc. Dearborn, MIIntern June 2023 - Aug 2023Developed model-driven apps using custom Web API scripts and JavaScript web resources, enhancing the functionality and user interaction capabilities.Implemented Logic Apps with various triggers in F&O for a dual-write mechanism to synchronize with Dataverse, reducing manual data entry errors by 40%.Utilized the Ribbon Workbench to create custom commands and buttons in the model-driven app.Leveraged XRM Toolbox for efficient API calls to track data in Data verse, optimizing data retrieval processes and improving data accuracy by 50%.University of Michigan, Dearborn Dearborn, MIResearch Assistant Sept 2022-Feb 2023Researching on different DNN partitioning strategies in edge computingWorking on web crawler scripts using python to scrap apps from google play and perform NLP over it using LUISNeudesic Bangalore,IndiaConsultant I Sept 2020 June 2022.Developed solutions in Power Platform using Microsoft dataverse, Sharepoint and SQL as data sources.Migrated InfoPath forms and workflows to Power Apps and Power Automate, increasing automation efficiency and reducing process timeConducted a Proof of Concept (POC) to integrate PCF components in model-driven apps with offline capabilities, enhancing app usability under limited connectivity(offline apps).Worked on embedding web scripts and custom plugins into model driven apps.Developed periodic reminder workflows with adaptive card in MS TeamsAs an RPA developer, created a bot that screens resume from Naukri, notifies recruiters, and integrates candidates into the talent hiring portal, automating 70% of the recruitment screening process.Developed a chatbot to monitor the performance metrics of an RPA bot using LUIS for pattern recognition in Node.js, reducing manual work by 80%Neudesic Bangalore,IndiaIntern Jan 2020 April 2020Worked on the 'POC Platform' project, designed to track all proofs of concept developed by employees within the organization, employing a tech stack of ReactJS for frontend, .NET Core for backend, and SQL.Used react redux and context api for state managementDeveloped the project using Agile methodologies, ensuring flexibility and iterative improvements throughout the project lifecycleTECHNICAL ACHIEVEMENTSA System for Anxiety Prediction and Treatment using Indian Classical Music Therapy with the Application of Machine Learning, presented in the International Conference on Intelligent Data Communication Technologies and IOT (ICICI 2020)Participated in a patent for rapid API data analysis under Professor Dr. Song at University of MichiganPower Platform Fundamentals PL-900, Microsoft, April 2022Audience Choice Award at Innovation in Action, hosted by University of Michigan, Ann Arbor campus for project Save the Planet |
