Pranav P. Email & Phone Number

Tysons Corner, Virginia, United States

• Designed and developed high-performance Python microservices with a modular approach, improving system scalability and responsiveness. Managed API deployments on confidential AWS environments, achieving optimal security and rapid data handling that boosted system efficiency and client satisfaction.• Utilized MySQL and PostgreSQL for database management and complex query execution, combined with Pandas for advanced data analysis, leading to improved data insights and streamlined decision-making processes. Automated essential processes using Python, Shell scripting, and Selenium, significantly reducing manual effort and error rates.• Led the creative and technical design of user interfaces using HTML, CSS, React.js, and Axios, focusing on responsive design and interactive features. Conducted comprehensive compatibility testing with Selenium, ensuring robust performance across diverse browsers and devices, which heightened user engagement and satisfaction.• Built and deployed robust cloud environments using AWS services (EC2, S3, IAM, RDS), automating workflows with Docker and Jenkins, resulting in reduced deployment time and enhanced scalability for cloud-based applications.• Applied Agile/Scrum methodologies to oversee the full lifecycle development of software projects, collaborating closely with cross-functional teams to deliver high-quality, on-time results that met evolving project requirements. Worked closely with cross-functional teams, including system administrators, cloud engineers, and UI/UX designers, to meet critical project deadlines and enhance product functionality.

Blacksburg, Virginia, United States

• Held a part-time UTA role at Virginia Tech offering additional tutoring support and help sessions to students in various Computer Science courses including CS 1064 (Intro to Python Programming), CS 1114 (Intro to CS in Java), CS 2114 (Intro to Software Design and Data Structures), CS 3114 (Data Structures and Algorithms), and CS 3654 (Intro to Data Analytics and Visualization).• Provided individualized and group tutoring sessions to students in Computer Science and Math courses, resulting in a 95% success rate in improved grades and understanding of the material.• Assisted professors in developing course materials, grading assignments, and conducting review sessions, contributing to a 20% increase in overall class performance.• Utilized diverse teaching methods to accommodate different learning styles, ensuring that all students could grasp complex concepts effectively.• Conducted office hours and additional support sessions, consistently receiving positive feedback from students for clarity and helpfulness.• Developed and maintained supplementary resources, including study guides and practice exercises, to reinforce learning and promote continuous academic improvement among students.• Implemented quantitative assessments to track student progress, demonstrating significant improvements in test scores and overall comprehension of coursework.

Blacksburg, Virginia, United States

• Expertly handled a wide range of hardware and software problems, significantly enhancing system reliability and improving user satisfaction, and was responsible for overseeing the performance of university computer systems.• Conducted thorough diagnostics and repairs on a wide range of hardware, extending the lifespan and performance of equipment and ensuring minimal downtime.• Used Hokie Ticketing System to manage and document help desk calls and answered inquiries of users regarding computer software and hardware operations to resolve problems.• Redesigned network configurations, resulting in a 20% increase in network availability and overall system efficiency, compared to the previous year, contributing to a more robust and efficient network infrastructure.• Provided critical Tier 1 and Tier 2 technical support to students and staff, ensuring uninterrupted access to educational technology and maintaining 100% availability of public laptops and devices for all VT students and staff.

Alexandria, Virginia, United States

• Developed and maintained databases to support performance improvement activities, ensuring data integrity across the organization through cross-functional collaboration and advanced SQL for data retrieval and transformation.• Designed and assisted the Data team in executing comprehensive Machine Learning strategies, including cluster analysis and the creation of multiple readmissions predictive model reports using Python (Pandas, Scikit-Learn, Django, etc.), significantly contributing to demographic sales insights in New York, New Jersey, Virginia, Delaware, and Maryland.• Elevated the client’s data quality by an average of 15% across multiple projects by querying client data using SQL and built process optimization reports which resulted in saving 5 hours per day.• Implemented robust testing protocols, including unit and regression testing, to validate and enhance the quality of developed reports while performing user acceptance testing to ensure seamless deployment and bug resolution.• Built regression model to predict demographic sales using Neural Networks with a 93% Area Under the Curve (AUC) score, used statistical techniques for hypothesis testing to validate data and interpretations, and performed factor analysis to group multivariate, resulting in 2 sets of variables which increased the accuracy by 15%.

New York City Metropolitan Area

• Led a team of interns to create a business management consulting website with cloud storage integration, enhancing overall business efficiency, and implemented software where large data is transformed in a user-friendly manner using frontend technologies such as HTML/CSS, ReactJS, & NodeJSand backend technologies including Java, and AWS RDS.• Utilized HTML, CSS, and JavaScript to incorporate features like an algorithmic search and a forum section for our Qualitative Data Analysis product, optimized MySQL database size with custom scripts for enhanced product functionality, and oversaw bug testing using JIRA, streamlining team's issue resolution process.• Developed and Implemented a Cloud Formation Template with a hook to validate Security Groups, and implemented validation modules for EC2 instances images and S3 Bucket.• Implemented advanced data handling and visualization techniques utilizing Pandas, NumPy, and Tableau for real-time data analysis, driving insights, and improving decision-making tools by effectively using SQL and Python scripting.• Developed and maintained API endpoints and complex SQL queries, improving system integration and data exchange capabilities, supported by a deep understanding of RDBMS, containerization, & AWS to ensure scalable and secure apps.

Bachelor Of Science - Bs, Computer Science, 3.82/4.0

Activities and Societies: Association of Computing Machinery (ACM), Linux Users Group (LUG), VTHacks Class of 2024 Virginia Tech Graduate.

3.83/4.0