JAHANVI AGARWAL

FULL STACK PYTHON DEVELOPER

E-Mail: ad3vwj@r.postjobfree.com Phone: 203-***-**** West Haven, CT PROFESSIONAL SUMMARY:

• Experienced Full Stack Python Developer with 3+ years of hands-on expertise in Python, Django, Node.js, Express.js, and Vue.js.

• Adept at crafting end-to-end solutions, specializing in front-end and back-end development. Skilled in HTMLS, CSS/CSS3, Bootstrap, and REST API for delivering visually appealing and responsive web applications.

• Proficient in Agile methodologies (Scrum, Kanban) for rapid development and continuous delivery.

• Proven expertise in databases (SQL, MongoDB, PostgreSQL) and version control (Git). Well-versed in diverse operating systems, with a strong foundation in cloud computing (AWS) and Docker.

• Experienced in leveraging Django and Angular JS to architect scalable and modular applications, incorporating robust features, and maintaining code quality through Pandas, NumPy, Unit Testing, and Beautiful Soup.

• Proficient in SVN, Jira, and Bitbucket, facilitating collaborative development, code review, to ensure a streamlined and efficient software development process.

• Well-versed in Windows, LINUX, and Mac iOS environments, demonstrating the ability to develop and deploy applications seamlessly across diverse operating systems. TECHNICAL SKILLS:

Programming Languages/ Frameworks Python, C, C++, Django, Flask, Angular JS Web Development Node JS, Express JS, Vue JS, JavaScript, HTMLS, CSS/CSS3, Bootstrap, Ajax, JSON, jQuery, XML,

REST API, Unit Test

Python Libraries: Pandas, NumPy, Beautiful Soap

Database: SQL, MongoDB (NoSQL), PostgreSQL, MySQL

Cloud & Deployment AWS, Docker

Testing Tools: Mockito, React Testing Library, Jest IDEs NetBeans, IntelliJ IDEA, Eclipse

Web Servers Apache Tomcat, WebLogic

Operating Systems Windows, LINUX, Mac iOS

CI/CD Tools Jenkins, Code Ship

Methodologies Waterfall, Agile Scrum, Agile Kanban Jira Other Tools Git, SVN, Ant, GitHub, Bitbucket

WORK EXPERIENCE:

Cigna, CT Full Stack Python Developer Jan 2023 – Current

• Contribute to the development of Python-based RESTful web services for healthcare data using Django and PostgreSQL. Applied Test-Driven Development, designing unit tests with the Python Unit Test framework. Managed datasets with Panda’s data frames and MySQL, executing queries through Python.

• Improve data accessibility and reliability through the implementation of Django and PostgreSQL, resulting in a 30% reduction in data retrieval time.

• Deploy 60% Python bug fixes for critical applications, following MVC architecture in project design. Demonstrate proficiency in healthcare API usage for secure patient data management.

• Demonstrate proficiency in healthcare API utilization, ensuring secure retrieval, updating, and management of patient data in compliance with healthcare regulations.

• Led the development of an automated continuous integration system, incorporating Git, Cassandra, Jenkins, AJAX, PostgreSQL, jQuery, MySQL, Node.js, and custom Python/Bash tools. Implemented AWS solutions for 30% optimization.

• Develop consumer-centric features in Python and Django, emphasizing test-driven development. Used MEAN stack and JSON for data transfer, rewrote Python/Flask modules, and created tools for 80% efficiency in healthcare applications.

• Conduct running and debugging of Python processes on the Linux environment, ensuring meticulous.

• Maintenance of data with varying access privileges. Performed in-depth data analysis within the design database.

HCL Tech, India Full Stack Python Developer Jun 2019 - Aug 2021

• Led the revamp of a finance sector CRM system at HCL Tech, utilizing Vue JS, Bootstrap, Python, and Django to enhance overall functionality.

• Achieved a notable 30% increase in user engagement by implementing a responsive front-end with Vue JS and Bootstrap.

• Reduced response time by 10% strategically optimizing the Python and Django back-end, enhancing system efficiency and successfully executed the migration of the existing SQL database to MongoDB, resulting in improved data retrieval speed.

• Implemented RESTful APIs to streamline communication, leading to a 15% reduction in integration-related errors and fostering seamless data exchange.

• Applied DevOps best practices through Jenkins, reducing deployment time and ensuring a streamlined development process.

• Orchestrated a scalable AWS infrastructure, leveraging services like EC2 and S3 to accommodate growing user demands and ensure high availability.

• Ensured seamless cross-browser compatibility using advanced CSS/CSS3 techniques, providing a consistent user experience across various web browsers.

• Implemented CI/CD pipelines with Jenkins, automating testing and deployment processes, resulting in a 40% reduction in errors and faster time-to-market.

• Integrated GraphQL for efficient and flexible data querying, optimizing 60% data retrieval and reducing unnecessary data transfers over the network.

• Enabled seamless cross-functional collaboration within an Agile framework, ensuring adaptive development practices aligned with client requirements. PROJECTS:

Created Handwritten Digit Recognition (Based on Al and Deep Learning Concepts)

• Applied Al and Deep learning concepts to convert handwritten digits into machine-readable form, enabling error-free banking operations.

• Utilized the widely acclaimed MNIST data set to train the model, ensuring its adaptability to a variety of real word scenarios.

• Expertly preprocessed the input images, ensuring uniform size and orientation. This preprocessing step significantly improved model performance and recognition accuracy. Created Web Application that provides data on Top 5 employment Apps"

• Used Node.js for efficient server-side scripting and Vue.js to create a dynamic and responsive user interface. Engineered a highly interactive user interface that updates instantaneously as data changes occur.

• Designed a pleasing user interface using HTML and CSS, combining functionality with a visually appealing appearance. Successfully tested and deployed the application on the Heroku Platform, showcasing practical deployment skills.

Create and Analyze Twitter Data (Using Hadoop and Big Data)

• Utilized the power of Hadoop and Big Data technologies to manage, process, and analyze massive datasets efficiently.

• Deployed the algorithm to examine data mining and its application as a tool for enterprises to achieve and set goals through informed decision-making.

• Created Hive tables to organize and processed results in a user-friendly tabular format. EDUCATION:

• Master of Science in Computer Science from University of New Haven, West Haven, CT

• Bachelor of Technology in Computer Science from Rajkumar Goel Institute of Tech, Uttar Pradesh, India

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