Priya Patil Email and Phone Number

Key Responsibilities:Architectural Design & Implementation: Led the design and implementation of scalable, high-performance Java-based applications for financial services, enhancing transaction processing efficiency by 30%.Team Leadership: Managed a cross-functional team of software engineers, providing mentorship and fostering a collaborative environment to drive innovation and improve code quality.Project Management: Oversaw the full software development lifecycle (SDLC) for multiple projects, ensuring timely delivery and adherence to budget constraints while maintaining high standards of quality.Stakeholder Collaboration: Collaborated with business analysts and stakeholders to gather requirements and translate them into technical specifications, ensuring alignment with business goals.Code Reviews & Best Practices: Established and enforced coding standards and best practices, conducting regular code reviews to ensure code maintainability and adherence to security protocols.Performance Optimization: Conducted performance tuning and optimization of existing Java applications, resulting in a 25% reduction in response times.Agile Methodologies: Championed the adoption of Agile methodologies within the team, improving project visibility and responsiveness to changing requirements.Risk Management: Identified potential risks in software solutions and implemented mitigation strategies, ensuring compliance with regulatory standards in the financial services sector.Key Achievements:Successfully led a team to deliver a key project ahead of schedule, resulting in a significant cost saving for the organization.Played a crucial role in migrating legacy systems to modern Java frameworks, significantly improving system reliability and maintainability.Recognized with the “Excellence in Technology” award for innovative contributions to high-impact projects.

Project Overview:As part of my final year B.Tech program, I collaborated with the Centre for Development of Advanced Computing (CDAC) on a project that focused on leveraging machine learning techniques for predictive analytics. The goal was to develop an intelligent system capable of analyzing large datasets and providing insights that could drive decision-making processes in various domains.Key Objectives:To design and implement efficient data structures for managing and processing large volumes of data.To explore various machine learning algorithms and identify the most suitable models for our predictive analytics requirements.To create a user-friendly interface that enables stakeholders to interact with the model and visualize the results effectively.Technical Highlights:Data Preprocessing: Utilized advanced data preprocessing techniques to clean and prepare datasets for analysis, ensuring high data quality and integrity.Machine Learning Algorithms: Implemented multiple machine learning algorithms, including linear regression, decision trees, and neural networks, using Python and relevant libraries such as scikit-learn and TensorFlow.Data Structures: Designed and implemented optimized data structures, such as trees and hash tables, to enhance the efficiency of data retrieval and manipulation.Outcomes:Successfully created a predictive analytics tool that achieved an accuracy of over 85% in forecasting outcomes based on historical data.Presented the project at a CDAC-sponsored event, receiving positive feedback for its innovative approach and practical applications.Gained hands-on experience in integrating machine learning with data structures, enhancing my understanding of both domains.This project not only deepened my technical expertise but also honed my problem-solving skills, preparing me for future challenges in the tech industry.

During my internship at Barclays, I had the opportunity to work as a Software Development Intern, focusing on developing and optimizing web applications using JavaScript and SQL. This role allowed me to gain hands-on experience in a dynamic financial services environment, contributing to projects that improved user experience and data management.Key Responsibilities:Web Application Development: Collaborated with the development team to design and implement interactive web applications using JavaScript, enhancing user engagement and functionality.Database Management: Utilized SQL to create, manage, and query databases, ensuring efficient data retrieval and manipulation to support application features.Code Optimization: Participated in code reviews and optimization efforts, improving application performance and reducing load times by 20%.Debugging and Testing: Assisted in debugging and testing applications, identifying issues and implementing solutions to enhance reliability and user experience.Documentation: Contributed to the creation of technical documentation, including user guides and system specifications, facilitating better understanding and onboarding for future team members.Technical Skills:Languages: Proficient in JavaScript for front-end development, with knowledge of frameworks such as React.Database: Experienced in SQL for database querying and management, optimizing queries for performance.Outcomes:Successfully contributed to the development of a key feature for a web application, resulting in increased user satisfaction and improved functionality.Gained valuable insights into the software development lifecycle within a leading financial institution, enhancing my technical and teamwork skills.This internship experience at Barclays was instrumental in solidifying my interest in software development and equipped me with practical skills that I continue to leverage in my career.