INDRANI INAPAKOLLA

ad3v21@r.postjobfree.com 602-***-**** https://www.linkedin.com/in/indrani-i/ https://github.com/Indrani19 Tempe,AZ OBJECTIVE

A Dynamic Master of Science in Information Technology graduate, passionate about driving innovation through technology. Aspiring to leverage my expertise in software development to contribute to cutting-edge solutions as a Full-time Software Developer/Engineer, available to commence in May 2024.

EDUCATION

Master of Science: INFORMATION TECHNOLOGY May 2024 Arizona State University – IRA A. Fulton Schools of Engineering GPA: 4/4 Relevant Coursework: AWS, Information Systems Development, Data Visualization & Reporting for IT, Analyzing Big Data, Advance DBMS, Managing Intelligent Devices in an Enterprise Env (IoT), Advance Bigdata, Natural language processing. Bachelor of Science: COMPUTER SCIENCE May 2021

The ICFAI Foundation for Higher Education, Hyderabad, India GPA: 3.8/4 SKILLS

● Programming languages: JavaScript, React.js, Python, Go, Java, Spring Boot, .NET, C/C++, HTML, CSS.

● Cloud Technologies: AWS, Azure, Google Cloud Platform, Docker.

● Database: MongoDB, MySQL, PostgreSQL, MS SQL Server, Redis, Data Bricks.

● Data visualization tools: Tableau, MS Excel, Power BI, Google Data Studio, Kibana

● Other Tools: Jira, Git, Bit bucket, Selenium, SoapUI, Postman, Swagger-API, REST API, Splunk, Kafka, Apache Spark. PROFESSIONAL EXPERIENCE

Target Arc Software Development Engineer Intern (NJ, USA) Aug2023 – Dec 2023

● Spearheaded the development of a robust Data Submission Portal using the MERN stack, revolutionizing data management for the team.

● Achieved 30% reduction in data processing errors and improved user experience through intuitive UI/UX design.

● Partnered Pioneered automation initiatives, resulting in a 50% reduction in manual tasks, and collaborated effectively for timely, high-quality code.

Enterprise Technology, Arizona State University Software Engineer (Part Time- AZ, USA) Jan 2023 – Jul 2023

● Automated Microsoft Exchange Server processes with PowerShell scripts and WPF GUIs, incorporating comprehensive logging and error reporting for improved maintenance

● Solved spam and email routing problems for ASU, reducing reported issues by 80% by analyzing Splunk logs and Proofpoint. Phenom Software Engineer (Full Time - Hyderabad, India) Jul 2021 – Aug 2022

● Increased REST API endpoints by 50% in a Java 8 project and refined the React UI to triple page load speed, enhancing user engagement by 20%.

● Improved API response times by 90% using Elastic Search, Redis, and MongoDB for enhanced performance.

● Maintained rigorous testing standards (JUnit, JMeter) achieving code coverage and an 80% reduction in failures.

● Leveraged Agile & scrum principles for streamlined task prioritization, yielding a 27% decrease in ad hoc requests.

● Implemented robust Jenkins-based CI/CD pipelines for frequent QA/UAT and bi-weekly production releases. Acute soft Solutions Software Engineer Intern (Hyderabad, India) Jan 2021 – Jun 2021

● Implemented new features for company website using HTML, CSS, JavaScript, and React.js

● Improved uptime by implementing remote server health monitoring integrated with Splunk logs.

● Incorporated SEO techniques and Google Analytics to enhance the user interface and expand website reach. Teal Wellness Inc. Software Engineer Intern (Hyderabad, India) Feb 2020 – May 2020

● Developed new features and tackled Notification push and background activity using Flutter &Firebase.

● Executed seamless integration of UI design using Figma and resulting in a 40% improvement in user engagement. PROJECTS

AI Voice-based Virtual Assistant

● Incorporated MERN stack to develop a user-friendly website for a voice-command application, leveraging Google Speech Recognition and gTTS with PyTorch integration for real-time, accurate speech-to-text and text-to-speech conversion, enhancing user interaction and productivity.

Trending YouTube Video Statistics (Adv Big Data)

● Analyzed multi-regional YouTube video trends using Pandas and Apache Spark and deployed predictive models in Databricks.

● Implemented the CRISP-DM process model, utilizing Random Forest algorithms for enhanced trend forecasting.

● Developed and monitored an efficient model deployment strategy, providing actionable insights for content trend predictions. Expense Tracker

● Designed and developed a MERN stack-based Expense Tracker with Docker and Firebase to streamline expense logging, budget management, and financial trend visualization through a user-friendly interface.

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