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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE +1- Street Address https://LINKEDIN LINK AVAILABLE https://github.com/Candidate's Name 16 EducationMaster of Science, Computer Science, University of Central Florida GPA: 3.92 Aug 2022- May 2024 Bachelor of Engineering, Computer Engineering, Savitribai Phule Pune University GPA: 3.63 Aug 2017- May 2021 Technical SkillsLanguages : Java/J2EE, Python, C++, HTML/CSS, JavaScript, jQuery Web Technologies: HTML, CSS, RESTful Web Services, Spring Boot, JUnit, Flask, Streamlit, ReactJS, Angular Databases & Cloud : AWS, Microsoft Azure(AZ-900, AI-900), MongoDB, SQL (MySQL, Oracle PostgreSQL, SQLite), Google Firebase, Kafka, Jenkins, Postman, Maven, Gradle, CI/CD Tools: Postman, VS Code, Kubernetes, Docker, IntelliJ, Jupyter, Power BI/Tableau, GitHub, Jira Coursework : Data Structures & Algorithms, Distributed Systems, Statistics & Machine Learning Professional ExperienceGraduate Teaching Assistant - University of Central Florida Jan 2023 Apr 2024 Assisted in developing course materials & conducting hands-on labs for COP 4600: Operating Systems. Conducted office hours to mentor 200+ students with process scheduling, memory management, and file system concepts, demonstrating strong problem-solving abilities and adept communication skills in conveying complex ideas effectively. Associate Software Engineer - Accenture Aug 2021 Aug 2022 Design and Implemented RESTful APIs for capturing and processing payment and refund records using Spring Boot(Spring MVC, JPA), resulting in a 30% increase in API response time and reduction in server load ensuring scalability resulting to 25% increase in transaction processing efficiency. Employed Postman for API testing, ensuring endpoint functionality. Utilized JSPs and Servlets within the framework to handle user interactions and dynamically generate web pages. Also, contributed to unit and integration testing using JUnit and Mockito, achieving 90% code coverage. Implemented Azure Cosmos DB within the SOA framework, optimizing data retrieval & storage processes, resulting in a 20% reduction of data retrieval time; performed data transformation using ETL techniques for data transformation. Collaborated with cross-functional teams to design and implement CI/CD pipeline in Jenkins, following Agile method- ologies for iterative development, to streamline an integration and deployment processes on Microsoft Azure. Technologies -Java/J2EE, Spring Boot, Hibernate, Servlet, REST, SoapUI, Postman, Kafka, Jenkins, JUnit, Mockito, Jira Data Modeler Intern - The Magic Data Apr 2021 Jul 2021 Improved data integrity of a critical dataset by implementing outlier and anomaly detection with machine learning stastical methods(Isolation Forest, One-Class SVM, etc.) facilitating informed decision-making based on anomaly detection results. Utilized scikit-learn, matplotlib, and seaborn libraries for data visualization, providing stakeholders with clear insights. Also, designed analytical dashboards using Tableau to effectively communicate the derived insights. Software Engineer Intern - Iogreen Solutions Oct 2020 Mar 2021 Developed a web application for Logistic Management Solutions using Spring Boot & JavaScript for the backend and HTML/CSS for the front-end. Implemented CRUD operations with RESTful APIs and integrated with a MySQL database. Academic ProjectsMicroservice based E-commerce Platform (Java, Spring Boot, Spring Security, Hibernate) Developed a full-fledged platform with user authentication, product catalog, cart, and order management. Leveraged JPA for efficient data persistence and Spring MVC framework to implement RESTful APIs for communication between microservices. Real-time Analytics Platform (Java/J2EE, Spring Boot, Apache Kafka, NoSQL, React JS) Engineered a data analytics platform utilizing Kafka for real-time data ingestion and Java, Spring Boot for backend services. Implemented real-time data processing capabilities and storage solutions leveraging NoSQL databases. Integrated React JS to develop a responsive and user-friendly interface for data visualization and analysis. Civil Complaints Management System (MongoDB, Express.js, Angular, Node.js) Built the Machine Learning Model with NLP techniques which can reduce the downtime and efforts to register and resolve the complaints of civilians. Analyzed large datasets using SQL; identified patterns and trends to improve predictive models. Integrated all functionalities in MEAN Framework V15 using TypeScript and handled database. Co-curricular & Achievements Published a Research Paper - Bhosale, Sayali et al. (2021). Civil Complaints Management System by using Machine Learning Techniques, International Research Journal of Engineering and Technology. Delivered a Seminar & also published a Paper Analysis on study - Vision Based Banknote Recognition Systems using Machine Learning and Deep Learning. Awarded as an Extra Miler - for Outstanding Performance in client delivery for Virgin Media at Accenture. |
