Akshitha Sabbineni
Dallas
Summary
Recent Master’s graduate with a solid foundation in Computer Science and Information Technology, equipped with technical skills in programming, data management, and a deep understanding of statistical analysis and business intelligence. Proficient in Python, SQL, and data visualization. Experienced in collaborating with cross-functional teams, translating business requirements into technical solutions, and optimizing processes through data-driven strategies. Eager to apply a blend of technical and analytical skills while continuing to grow and develop professionally.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Software Developer Intern
Mindtree
04.2021 - 11.2021
- Managed Unix-based servers proficiently, handling system administration tasks and automating processes using custom Bash and Groovy scripts.
- Ensured the highest quality by conducting thorough code reviews, enforcing coding standards, and promoting best practices within the development team.
- Designed APIs, both RESTful and SOAP-based, to enable fluid communication between system components and external clients.
- Created responsive and user-friendly web applications using HTML, CSS, and JavaScript, elevating the overall user experience.
- Ensured effective version management and maintained code quality by integrating Jenkins with Git and SVN.
Education
Masters - Information Systems
University of North Texas
Dallas, TX12.2024
Bachelor of Science - Computer Science
CMR Technical Campus
Hyderabad, India08.2022
Skills
Programming Languages: Java, C, Python
Frameworks & Tools: Spring, Django, React, Nodejs, Git, Docker, Tableau, Power BI
Databases: MySQL, PostgreSQL, MongoDB
Technologies: AWS, Kubernetes, Hadoop, Spark
Methodologies: Agile, Scrum, Object-Oriented Design
Certification
- AWS Certified Cloud Practitioner, Ongoing
- Front End Web Development Ultimate Course, Udemy
- Oracle Cloud Infrastructure Foundations 2021 Certified Associate
Projects
- Personality Prediction Model Based on Social Media Analysis: Built a classifier using Python and Machine Learning techniques to categorize individuals into their Myers-Briggs Type Indicator (MBTI) personality types based on text samples from social media posts.
- Prediction And Classification Of Alzheimer's Disease Severity Using Deep Learning Model: Developed a Convolutional Neural Network (CNN) model using Python and Deep Learning to classify MRI scans into four severity categories for Alzheimer's disease.
Timeline
Software Developer Intern
Mindtree
04.2021 - 11.2021
Masters - Information Systems
University of North Texas
Bachelor of Science - Computer Science
CMR Technical Campus
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