Summary
Work History
Education
Skills
Programming languages
Projects
Timeline
Generic

SHUSHHMA DEWIE KOPPIREDDY

Dartmouth,MA

Summary

Detail-oriented and customer-focused graduate student with strong organizational and communication skills. Experienced in team collaboration, problem-solving, and handling administrative tasks. Eager to contribute to the success of summer conferences by ensuring smooth operations and high-quality service.

Work History

Intern

SailPro
  • Worked with various components of Celonis like Action flows, Skills, Views, Knowledge model, Simulations and data explorer
  • Collaborated with cross-functional teams to analyze data and create insights, ensuring smooth project execution. Developed strong problem-solving skills and attention to detail in a fast-paced environment

Food Service Experience

Volunteer Work
Hyderabad, Telangana
  • Assisted in serving food and beverages to over 200 attendees at campus events.
  • Ensured proper hygiene and food handling procedures were followed.
  • Collaborated with the team to maintain a clean and organized workspace during events.

Education

MASTER OF SCIENCE - DATA SCIENCE

University Of Massachusetts Dartmouth
Dartmouth, MA
09.2026

BACHELOR OF TECHNOLOGY - COMPUTER SCIENCE ENGINEERING

Keshav Memorial Institute of Technology
Hyderabad, India
05.2024

Skills

  • Problem-solving
  • Attention to detail
  • Critical thinking
  • Customer Service
  • Event Coordination
  • Time Management
  • Team Collaboration
  • Conflict Resolution
  • Multitasking

Programming languages

Python
Professional
R language
Professional
Java
Professional
Excel
Professional

Projects

AUTOMATIC TRAFFIC CONTROL SYSTEM 

 • Developed an Automatic Traffic Control System.  

• By using sensors, micro controllers and machine learning algorithms to optimize traffic flow and reduce congestion.   

• Implemented real-time data processing and adaptive signal control, resulting improved traffic management, enhanced safety, and  reduce environmental impact. 

CERVICAL SPINE FRACTURE DETECTION USING DEEP LEARNING

• Developed a system for detecting cervical spine fractures using convolutional neural networks (CNNs).

• Utilized a large dataset of annotated cervical spine X-rays and CT scans for training and validation.

• Applied image preprocessing techniques such as normalization, augmentation, and segmentation. 

Timeline

Intern

SailPro

Food Service Experience

Volunteer Work

MASTER OF SCIENCE - DATA SCIENCE

University Of Massachusetts Dartmouth

BACHELOR OF TECHNOLOGY - COMPUTER SCIENCE ENGINEERING

Keshav Memorial Institute of Technology
SHUSHHMA DEWIE KOPPIREDDY