Spandana Susal

Computer Science Graduate Student

I thrive on solving complex challenges using innovative technology. My background in Python, C++, Java, and Artificial Intelligence provides me with a solid foundation in cutting-edge concepts. Now, I'm eagerly seeking an opportunity to learn and create groundbreaking solutions at an organization that values growth and development. Let's push the boundaries together!

ad0w9n@r.postjobfree.com

+1-857-***-****

Boston, United States

linkedin.com/in/spandana-susal-1063261b4

EDUCATION

Graduate Master's Degree

University of Massachusetts, Boston

09/2022 - Present, Boston

Computer Science OOPS and design programming

Software Engineering Artificial Intelligence, Neural Networks, Machine Learning

Biomedical Signal and Image

Processing

WORK EXPERIENCE

Data Analytics Intern

The Sparks Foundation

10/2021 - 12/2021,

Developed business, financial and analytical skills needed for career. Achieved management recognition by designing and implementing special project during internship.

Maximized productivity by analyzing protocols and identifying areas for improvement.

Internship Student

Vodafone

08/2020 - 09/2020,

Worked on projects using knowledge gained in classes to put together recommendations for issues.

Searched at library and in scholarly databases to locate necessary information for research projects.

Analyzed problems, identified solutions and made decisions. Internship Student

VERZEO

08/2020 - 09/2020,

Reported back to instructor to receive day-to-day tasks and responsibilities.

Communicated effectively with faculty and staff and accepted critiques and suggestions for areas of improvement. SKILLS

Java C programming C++ programming

Python programming Octave/Matlab

Neural Networks MS Office

Machine Learning Artificial Intelligence

Attention to detail and organized

Advanced communication skills

Teamwork and Collaboration

PERSONAL PROJECTS

Handwriting recognition using artificial neural

networks with python (2021)

Sun Tracking Solar Panel using Python (2021)

An Efficient Crop Yield Production and Fertilizer

Utilization Algorithm Using Machine Learning

Regression (11/2021 - 06/2022)

Robot Sensor (09/2022 - 12/2022)

Heart Disease Prediction using machine learning

algorithms (09/2022 - 12/2022)

Presentation- Robust, Atlas-free, automatic

segmentation of Brain Mri for health and

disease. (2022)

CERTIFICATES

Python for Data Science - IBM Cognitive class AI

Data Science Methodology - IBM Cognitive class

AI

Deep Learning Fundamentals - IBM Cognitive

class AI

Machine learning with Python - IBM Cognitive

class AI

Introduction to Cloud - IBM Cognitive class AI

Courses

Achievements/Tasks

Achievements/Tasks

Achievements/Tasks

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