Software Engineer Information Technology

SRIBALA VIDYADHARI CHINTA

Wichita, KS ***** 786-***-**** ********.****@*****.*** WWW: linkedin.com/in/SBVC Innovative and detail-oriented software engineer with extensive experience in full-stack development, cloud-based solutions, and machine learning. Adept at leveraging agile methodologies and test-driven development to optimize supply chain management systems. Proven track record of leading projects, mentoring teams, and delivering high-quality presentations to clients. Passionate about designing scalable, high-performance systems with a focus on reliability and efficiency. Master of Science: Information Technology, 04/2024 Florida International University - 11200 SW 8th St, Miami, FL 33199,Miami, FL 3.840/4 GPA

Bachelor of Technology: Information Technology, 07/2021 Aditya Engineering College - ADB Road, Aditya Nagar, Surampalem, Andhra Pradesh 8.86/10 GPA

Programming Languages: C, C++, Java, Python, JavaScript, TypeScript, HTML, CSS

Technologies: AWS, MongoDB, DBMS, Git, GitHub, Jira, Terraform, ETL, ML, AI, OS

Office Tools: MS Excel, Google Sheets (Advanced Functions, Pivot Tables, VLOOKUP)

Methodologies: Agile Software Development,Test-Driven Development

Framework's: ReactJS, AngularJS, NodeJS, ExpressJS Data Visualization Tools: Tableau, Power BI Associate Professional Software Engineer, 06/2021 - 12/2022 DXC Technology – Indore, Madhya Pradesh 452010, India Developed and deployed full-stack web applications using React JS and AWS, enhancing the user experience for clients. Collaborated with cross-functional teams to design and implement large-scale, cloud-based distributed services with millisecond latency and high transactional volumes.

Mentored junior team members, improving their technical skills and fostering a collaborative work environment. Utilized Agile methodologies to manage project timelines, ensuring on-time delivery of high-quality software solutions.Developed and maintained responsive web applications using React.js, HTML, CSS, and JavaScript. Implemented and deployed web applications in real-time environments on AWS, ensuring high scalability and reliability. Collaborated with designers and product managers to create user-friendly interfaces and enhance user experience. Trained and mentored junior developers on best coding practices, code reviews, and project workflows. Utilized Agile methodologies to deliver projects on time, with high quality, and according to client specifications. Created comprehensive documentation for software applications to facilitate maintenance and onboarding of new team members. Research Assistant, 09/2023 - 05/2024

Florida International University – Miami, FL

Published paper in ICDM conference 2023

Conducted statistical, qualitative, and quantitative analysis for various research projects. Collaborated with research teams to develop research proposals and prepare grand applications. Gathered, arranged, and corrected research data to create representative graphs and charts highlighting results for presentations. Research and Learning Assistant, 09/2023 - 12/2023 Wall Of Wind – 10555 W Flagler St, Miami, FL 33172 Led small group sessions to help students review and practice concepts. Facilitated student engagement and collaboration to enhance classroom learning. Supported interaction between students during group work activities using guided conversation. Intern, 11/2019 - 03/2020

Ruffpage – Dpbranding Studios, Bengaluru, India

Utilized HTML, CSS, and JavaScript to create visually appealing and responsive web pages that met client requirements. Coded using HTML, CSS and JavaScript to develop features for both mobile and desktop platforms. Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations. Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit 23rd IEEE International Conference on Data Mining, December 1–4, 2023, Shanghai, China https://ieeexplore.ieee.org/document/10411657

Predicting Room Occupancy Based on Environmental Factors FIU March 2023 - April 2023

Developed a project using machine learning to predict the occupancy of the room based on environmental factors. I designed the project using Random Forest, Naïve Bayes classifier, SVM, K-Nearest Neighbors, and Logistic Regression to get the best accuracy. Achieved an accuracy of 99.3% in predicting the occupancy of a room using Random Forest. Fake News Prediction

Aditya Engineering College January 2021–July 2021 Lead a 4-person team by coordinating and leading team members to design the detection system., Designed a prediction system, which can detect fake news using machine learning algorithm. I designed the system using Naïve Bayes classifier., Achieved an accuracy of 85% in predicting fake news.

Customer Sales Data Analysis

FIU January 2024–April 2024

Analyzed a large dataset of customer sales data using Python and SQL to uncover trends and insights. Conducted data cleaning and preprocessing to ensure data accuracy and reliability. Applied statistical analysis and visualization techniques to identify key sales drivers and customer behavior patterns. Presented findings in a comprehensive report, leading to actionable business recommendations that increased sales by 10%.

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CERTIFICATIONS

AZ-900 Microsoft Certified Azure Fundamentals, H534-0426 AI-900 Microsoft Certified Azure AI Fundamentals, rcS6-uSoV MTA: Introduction to Programming using Python, eBeJ-4TpH Career Essentials in Data Analysis by Microsoft and LinkedIn

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