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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLEStreet Address EducationMaster of Science in Computer Science August 2023 - 2025 Florida Atlantic University Boca Raton, FL, USABachelor of Technology in Computer Science & Engineering August 2018 - 2022 Vignans Institute of Management & Technology for Women Hyderabad, TS, IN Key Expertise/Skills Programming Languages: C, C++, HTML, Python, Java Web Development Languages: HTML5, CSS3, JavaScript Database: MYSQL Frameworks: Spring Boot, Microservices, Angular IT Constructs: OOPS, DBMS, Operating Systems, Data Structures Tools: Eclipse, Jupyter, Pycharm, Mysql Workbench, Visual Studio, Android Studio Professional ExperiencePROGRAMMER ANALYST TRAINEE AT COGNIZANT - Hyderabad, TS, IN October 2022 - August 2023 Excelled in interpreting functional requirements and low-level designs to develop code components. Displayed advanced skills in full-stack development, including JavaScript, Angular, HTML, CSS, and Bootstrap. Proficiently handled Data Structures, Algorithms, and the software development life cycle. Mastered SQL query writing, table relationship descriptions, and CRUD operations, along with creating stored procedures. Gained experience working with microservices architecture Contributed to comprehensive testing efforts (manual testing) and demonstrated proficiency in IT service management tools and data analytics.INTERN AT COGNIZANT - Hyderabad, TS, IN March 2022 - September 2022 Role: Full Stack Developer Acquired proficiency in web development technologies, including Bootstrap, CSS, JavaScript, Angular, and utilized development tools such as Visual Studio Code IDE and Spring Tool Suite. Successfully applied newly acquired skills to complete web development tasks. Demonstrated database integration by connecting MySQL with Java applications in Eclipse, and conducted comprehensive testing using JUnit. Proficiently set up Spring Boot applications and developed a strong understanding of application architecture using pom.xml, with expertise in building Java applications using Maven. ProjectsVolume Control with Hand Detection Using OpenCV in Python This project is designed to enhance human-computer interaction. Human body motions are read by computer camera through which the volume of the system is controlled using hand gestures. Gesture recognition is a computing process that attempts to recognize and interpret human gestures through the use of mathematical algorithms. It also helps computers to understand human body language to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical user interfaces. OpenCV, numpy, media-pipe are the main libraries used for developing this project. A New Deep-Learning-based Approach for Earthquake triggered Landslide This project explores the feasibility of a deep-learning-based approach to detect and map earthquake-triggered landslides using single-temporal Rapid Eye satellite images. Accurate landslide detection and mapping are crucial for land use planning, management, geo-disaster risk mitigation and post-disaster reconstruction. Convolutional Neural Networks (CNN) are utilized for image recognition and pixel data processing, while Artificial Neural Networks (ANN) are used for prediction. The approach employs both pixel-based and object-based methods as input feature vectors for training classical machine learning algorithms. CRUD operations on Trading system (https://github.com/Anuksha03/TradingSystem) Developed a comprehensive Trading System, enabling seamless CRUD operations for managing stock information, including stock name, price, and customer details. Conducted manual testing using Postman, encompassing field validations, CRUD operation test cases, and meticulous validation of response codes (POST, GET, DELETE, PUT) along with error handling. Implemented CRUD functionality with JavaScript, leveraging Core Java, Microservices and Spring Boot technologies.Driver Drowsiness Detection Using Deep Learning Technique This project presents a Driver Drowsiness Detection System using Convolutional Neural Networks (CNN) and Keras to monitor eye movements and alert drivers to prevent accidents. The CNN model, optimized for accuracy and efficient deployment on edge devices with fewer than 250K trainable parameters, includes multiple convolutional and fully connected layers. ReLU activation is used in hidden layers, with Softmax in the output layer. Pension Management SystemThe Pension Management System modernizes pension administration by integrating digital tools and automation into a web-based application, enhancing efficiency, accuracy, and transparency. It automates key tasks such as enrollment, withdrawal processing and plan approvals, reducing errors and processing times. The system provides tailored dashboards and real-time access to pension information for administrators, managers and customers, fostering better decision-making and confidence. Built with React.js, Next.js, Node.js and MySQL, it ensures robust data management and security.Certificationso Build your first Android App (Project - Centered Course) COURSERA & NULL CLASS Credential Id: ALHZXTZRHJ2BKey Skills: Basic app development and development tools o AI for Everyone COURSERACredential Id: HB2NBFLMS5MTKey Skills: The Skill of the Century and AI in everyday life, AI terminology and AI strategies o Machine Learning for all COURSERACredential Id: C74V5TUNZHJDKey Skills: Analysis features of ML and basics of ML o Digital Nurture Program COGNIZANTKey Skills: Cloud Services, Web, Java basics, RDBMS o SQL HACKERRANKCredential Id: 4EE41258DAB3Key Skills: All kinds of SQL querieso Algorithms Data Structures in Java UDEMYCredential Id: UC-60007764a-5c05-4ePHONE NUMBER AVAILABLEe06 Key Skills: Stack, Queue, Array, Linkedlist, Hashtable concepts LinksLINKEDIN - https://inLINKEDIN LINK AVAILABLE GITHUB - https://github.com/Anuksha03HACKERRANK - https://www.hackerrank.com/machananuksha22 |
