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Title Computer Science Machine Learning
Target Location US-TX-Frisco
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Candidate's Name
Street Address -200-8978 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE Mami, USA EDUCATION:Master of Science, Computer Science and Engineering Jan Street Address   Dec 2023 Florida International University, Miami, USA CGPA: 3.8/4 Courses: Machine Learning, Algorithm Design, Operating System, Data Mining, Database Management Systems Bachelor of Engineering, Computer Science and Engineering Jan Street Address   May 2019 Jawaharlal Nehru Technological University CGPA: 6.8/10 Courses: JAVA, C++, Web Technology, Data Structure, Software Engineering, Database Management, Comp Networks WORK EXPERIENCE:Advithri Technologies, UI Developer: Mar 2024  Present Frisco, TX Developed an inclusive and user-friendly UI with ReactJS for a client's website, delivering a 60% reduction in customer drop rate. Followed Agile, Scrum approach of development strategy. Engineered a comprehensive back-end solution using Node.js and MySQL to capture, store, and deliver user clickstream data in a user-friendly .txt format. Facilitated analysis-based UX improvements for the e-commerce store, including enhanced haptic feedback mechanisms to improve tactile responsiveness during product interactions, resulting in a 25% increase in user satisfaction. Improved system efficiency by integrating API endpoints using RTK Query, a powerful data fetching and caching library from the Redux Toolkit ecosystem. This approach leveraged caching methodologies, resulting in a 40% reduction in API calls, optimizing network usage and improving overall application performance. FIU, Graduate Student Learning Assistant: Aug 2022  December 2023 Miami, FL Collaborated with instructors to enhance student understanding of challenging topic likes parallel computing, Java programming, socket programming, transport layer services, and applied cryptography. Grade quizzes and tests for the course material and provide feedback to students. Conduct Problem Review and office hour Sessions to help students better understand the course material. Boring Commerce, Front-End Developer: Apr 2019  November 2021 Hyderabad, India Developed E-Commerce applications with jQuery, HTML, CSS, JavaScript frameworks, and REST APIs, Shopify JS APIs(storefront, AJAX Cart, Sections etc) increasing traffic by 200%. Built and optimized 30+ E-commerce stores, consistently achieving high conversion rates and exceptional user experiences. Executed the integration of third-party software APIs, contributing to various operational improvements such as payments, traffic monitoring, alerts, and more. Applied advanced data mining and analytics expertise to thoroughly analyze user profile data and heat maps, driving optimization strategies for client web applications through rigorous multivariate and A/B testing. Collaborated with the UI/UX team, leveraging analytics to deliver valuable insights that enhanced user experience, elevated performance, and maximized client satisfaction. Created and automated a reporting system with Google Studio, producing detailed reports on cash flows,conversions, impressions, orders, and traffic. Integrated data from Facebook, Google Analytics, and Shopify API for valuable insights, aiding informed business decisions.TECHNICAL SKILLSET: Languages: Python, PHP, JavaScript, JQuery, C#, C++, SQL, HTML/CSS Web Technologies: ReactJS, AngularJS, Laravel, Flask, NodeJS, ExpressJS, ASP.NET, WordPress Databases: MongoDB, MySQL, Firebase Deployment: Git, FTP Servers, Kubernetes, Heroku, AWS, Linux Servers Other Utilities: Postman, Bootstrap, Figma, Adobe Photoshop, Linux, Tkinter, Android Studio PROJECTS:SnackZone Web Application - (ReactJS, Tailwind CSS, Firebase, Redux ToolKit) A user-friendly platform enabling customers to order food online. Integrates live data from Swiggy API to present a selection of local restaurants, complete with ratings, cuisine types, and area-specific listings. Features include restaurant search functionality, detailed dish descriptions with pricing, and a seamless cart-to-checkout process. Built with React JS, styled with Tailwind CSS, and incorporates Firebase for both database and authentication needs. Utilizes Redux Toolkit for efficient state management and Parcel as the application bundler. FIU Marketplace - ( HTML,CSS, MySQL,Vanilla JavaScript) Collaborated in a 5-member team to create a full-stack web app, Led UI development for the FIU Marketplace, a student-centric web app with key features, like ad posting, location services, and chat functionality. Crafted an intuitive user interface and ensured secure FIU email login integration for an enhanced user experience. Demonstrated proficiency in JavaScript, HTML, and CSS throughout the development process. Utilized these technologies to enhance the visual appeal and functionality of the marketplace platform.

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