Asha Ramanna

York,United Kingdom

Summary

An ambitious recent graduate with competence in mathematics, problem-solving, and coding who is currently enrolled in a Data Science degree at the University of York and seeking for opportunities in ML, data science, and software engineering to make a significant impact via continual skill improvement.

Overview

year of professional experience

years of post-secondary education

Work history

Amazon Web Service Cloud Intern

Ethnotech Academic Solutions

Mysore, India

2022.06 - 2022.07

Proficient in a wide range of AWS services, including EC2 for scalable computing, S3 for efficient object storage, Lambda for serverless computing, and RDS for managed databases.
Engaged in a comprehensive project where I leveraged AWS services to enhance system efficiency. Implemented EC2 instances to optimize computing resources, configured S3 buckets for seamless data storage, and utilized Lambda functions for automated task execution.

Full Stack Developer Intern

Thoughts Ignited

Mysore, India

2021.09 - 2021.10

Contributed to developing 5 web projects.
Collaborated with UX and UI design teams for API Integration and database management, utilizing technologies such as HTML, CSS, JavaScript, Bootstrap, and node.js.

Education

Master of Science - Data Science

University of York

York

2023.09 -

Certificate of Higher Education - Computer Science and Engineering

Maharaja Institute of Technology Mysore

India

2019.08 - 2023.05

Skills

Programming Language: Python, Java, and C
Computer networking
Machine learning
Statistics

SQL
Shell Scripting
Git and GitHub

Academic Projects

AZ-Net: An ensemble deep neural network for the diagnosis of Alzheimer's disease from fMRI images

AZ-Net is an advanced ensemble deep neural network meticulously designed for precise Alzheimer's diagnosis from fMRI images. With superior accuracy, it identifies individuals at risk and those already affected, offering healthcare professionals a vital screening tool for early detection.

DBMS project on “Digital Library Management System”

The Digital Library Management System is an intricately designed computer-based platform aimed at seamlessly overseeing a library's catalog, ensuring operational efficiency through streamlined and well-managed diverse functions.

Mobile Application Development on “Notebook Application”

The Notebook Application is a dynamic mobile app offering efficient information storage, note creation, and organization through its user-friendly interface and innovative labeling feature.

Timeline