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Computer Science Data

Location:
Tallahassee, FL
Posted:
February 24, 2024

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Resume:

GOWSHITHA VAVILTHOTA

+1-850-***-**** LinkedIn Tallahassee, FL ad3v49@r.postjobfree.com

EDUCATION

Florida State University Master of Science in Computer Science Expected Aug 2024

● Course work: Artificial Intelligence, Analytical Methods, Bioinformatics, Concurrent Parallel and Distributed Programming, Advanced Data Science, Productivity in SoftwareDevelopment, Data and Computer Communications, Computer Network Administration, Network Security Active and Passive Defenses.

● GPA-3.75/4

GITAM University Bachelor of Technology in Computer Science June 2020

● Course work: Data structures and Algorithms, SQL, Operating Systems, Machine Learning,WebTechnologies, Big Data, IoT, Cloud Computing, ComputerNetworks.

● GPA-3.7/4

SKILLS

Python3, HTML5, CSS3, JavaScript, TypeScript, SQL, C, C++, JAVA, Angular 9,React JS, Ionic 5, Azure Devops, .Net, XML, R. IDEs - MicrosoftVisualStudio, IntelliJ, Eclipse.

EXPERIENCE

Associate Software Developer at Collins Aerospace, Bangalore India (Jan, 20 - Aug 2022)

• Reviewed code, debugged problems and corrected issues,Adjusted design parameters to boost performance and incorporate new features.

• Contributed ideas and suggestions in team meetings and delivered updates on deadlines, designs and enhancements.

• Built optimized landing pages in HTML and CSS for integration and cross-browser compatibility.

• Developed landing pages, dashboards and online applications using angular, ionic and typescript.

• Maintained and upgraded set of custom in-house applications(Time-Entry, Time-Approval, Product-Coglist, Approvals).

• Trained and supervised 4 team members for ongoing company projects.

• Played a key role in maintaining an average user satisfaction rating of 4.5 out of 5, reflecting the effectiveness of developed applications and support services.

• Built user interface, data visualizations and designed overall user experience, resulting in 27% increase in number of users.

• Boosted web traffic by improving navigation.

• Used Agile methodology and SCRUM process for project developing.

• Acted as SCRUM master for two projects.

• Worked with Change Requests.

• Acted as primary product owner for couple of applications, overseeing their development and ensuring alignment with stakeholder requirements.

• Updated user documentation as needed, resulting in a 40% decrease in user inquiries and ensuring seamless user experiences.

• Performed rigorous unit testing to validate code functionality, ensuring robustness and reliability of developed solutions.

• Effectively resolved bugs and maintained application integrity to prevent downtime, ensuring seamless operation and optimal user experience. INTERNSHIP

Internship at Collins Aerospace, Bangalore India (Jan,20 - July, 20)

• Implemented a groundbreaking onboarding project at my company, streamlining the hiring process and enhancing efficiency.

• By developing an intuitive application, candidates seamlessly transitioned from selection to onboarding without the need for extensive email communication with HR.Upon selection, candidates gained immediate access to our platform, expediting the onboarding process and eliminating unnecessary delays.

• This initiative significantly reduced administrative overheads and improved overall hiring turnaround time by 35%.

• Leveraging innovative technologies and agile methodologies, the project facilitated seamless communication and collaboration between HR and candidates, resulting in a more streamlined and user-friendly experience for all stakeholders. ACADEMIC PROJECTS

Food Recipe Rating Classification using Machine Learning (Jan, 19 –Jun, 19) In In this Project, we have tried a different approach of classifying food rating. All the traditional rating prediction is based on review text or food image. We combined both review text score and image score along with food features. All the details regarding the project are in the blog. Environment: Google Colab. Fake News Detection Using Traditional ML and Modern DL (Aug, 19 -Dec, 19) In this Project, we have tried different approaches for classifying whether a news is fake or real using traditional ML and modern DL algorithms. Finally came up with good classifiers using DL Techniques.Environment: Google Colab. Secured Framework for Smart Home Appliances Using IoT (Nov, 19 -Mar, 20) Guide: Mohan Gowda (Assistant Professor (CSE) – GITAM Bengaluru). In this Project, we developed a system that detects the presence of casualties around sensors and takes appropriate predefined action, also published a paper on our work. EXTRA CURRICULAR ACTIVITIES

• Worked as a student coordinator and also team lead for the major project in GITAM University.

• Organized Coding Competition in PRERNA fest -GITAM.

• An active member of National Service Scheme (NSS).

• An active member of Lions Club International.

AWARDS AND ACHIEVEMENTS

● Acquired certificate of EMC Academic Associate in Data Science and Big Data Analytics.

● Best Performer of the year award during my work at Collins Aerospace.



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