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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn GitHub PortfolioEDUCATIONLouisiana State University, Master of Science in Computer Science May Street Address Tribhuvan University, Bachelors in Computer Engineering Sept 2017 TECHNICAL COMPETENCIES Language: Javascript(ReactJS, TypeScript, NodeJS, AngularJS, ExpressJS), R, Python, Java, DotNet, C#, SQL, React Native Database: MongoDB, Hibernate, TSQL, Cassandra,Microsoft GraphQL, Oracle, SQL Server, AWS Redshift, Data warehouse Cloud Platform: AWS, Apache Kafka Tools: Tableau, Jenkins, PowerBI, ETL, Figma, Jest, Cypress, Bootstrap, Kafka, Github, Microsoft Azure, Docker, Kubernetes, Rest Statistical Analysis: Clustering, Data Mining, Segmentation, Customer Analytics, Web Analytics, Financial Forecasting, Text Analysis, Time Series, MapReduce, ETLWORK EXPERIENCETeaching Assistant Aug 2022 - May 2024Louisiana State University Baton Rouge, Louisiana Developed an Online Tutor Scheduling platform using ReactJS and SpringBoot, to assist students in arranging appointments with Professors. This system also streamlines scheduling management for both administrators and Professors. Led as Sprint Manager, overseeing and guiding project development phases with agile methodologies, thereby enhancing team efficiency and project execution through mentorship, support, and adherence to best practices. Conducted laboratory sessions and classes in Java Programming and Object-Oriented Analysis and Design. Software Developer Nov 2018 - June 2022Rapid Platform Brisbane, Australia Designed and developed a task management software leveraging Business Process Model and Notation (BPMN) diagrams to automate processes using NodeJS, ReactJS integrated with PowerBI for dynamic data visualization, resulting in enhanced task tracking and efficient workflow management, improved customer satisfaction by 40% and reduction in user support request by 15%. Contributed to the development of a comprehensive personality test profile system, utilizing HEXACO, AB5C, and 6FPQ scales for in-depth personality analysis. Implemented Chart.js for dynamic visualization of individual and team personality insights. Developed an OCR-based React Native mobile application for efficient invoice uploading and successfully integrated with Xero Accounting software to streamline financial processing, enhancing the overall process by 60%. Developed a task ranking algorithm using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) using python, trained to prioritize tasks based on various criteria, resulting in improved task management efficiency. Utilized TypeScript to maintain type-safe code, resulting in a 60% reduction in type-related runtime errors. Implemented comprehensive unit testing using Jest, resulting in a 40% reduction in post-release bug reports, thereby enhancing code reliability and overall software quality. Developed an Outlook Add-in to streamline workflow using NodeJS, ReactJS by facilitating the transfer of emails to third-party task management apps, thereby enhancing user productivity and task organization. Computer Engineer Apr 2018 - July 2018National Reconstruction Authority Kathmandu, Nepal Developed Management Information System for earthquake victims database and grant payment, utilizing React JS and Django. Worked on the National Reconstruction Authority's website using WordPress. Software Engineer Feb 2018 - Oct 2018Open Learning Exchange Nepal Kathmandu, Nepal Developed "Epaath," an e-learning software providing students with a platform to select courses and take quizzes. Created an adaptive assessment system using React JS, MongoDB, Chart.js, and NodeJS, featuring personalized exams, insightful mark sheets for each student, and tailored feedback based on their results. TECHNICAL PROJECTS Log Analysis of E-commerce: Analyzing web server logs using Pyspark, Kafka, Spark Streaming to find the top 5 categories, sub categories, most page search, and most IP hits. eBay and Amazon websites product comparison: Implemented ReactJS, SpringBoot and scrapy libraries for building User Interface to let them compare similar phones fetched from these websites. PUBLICATION Comparison of algorithms in Foreign Exchange Rate Prediction - IEEE 2018 Foreign Rate Exchange Prediction Using Neural Network and Sentiment Analysis - IEEE 2018 Automated Polyp Segmentation of Colonoscopy Images - IEEE 2024 |
