Summary
Work history
Education
Skills
Languages
Projects
Timeline
Generic

Pranav Ravishankar

London

Summary

Result driven Computer Science graduate and current MSc Management student at Queen Mary University of London, with experience applying data analysis and machine learning to real-world problems. Demonstrated ability to solve complex technical challenges, communicate insights clearly, and stay composed under pressure. Thrives in fast-paced, collaborative environments and is committed to continuous learning, innovation, and delivering high quality outcomes.

Work history

Engineering intern

NASSCOM COE
  • Conducted comprehensive data analysis to support data driven decision making in market research projects.
  • Applied machine learning algorithms to identify critical patterns and factors in large datasets.
  • Prepared clear reports and presentations to convey key business insights to stakeholders.

Education

Bachelor of Engineering in Computer Science -

BMS College of Engineering

12th grade - Computer Science (CSE)

National Public School Indiranagar
2019

Master of Science - Management

Queen Mary University of London
London

10th grade - Science

National Public School Indiranagar
2017

Skills

    Technical Skills

  • Python
  • Java Programming
  • C Programming
  • Java Script
  • Resource Optimisation

    Soft Skills

  • Leadership
  • Teamwork
  • Communication Skills
  • Effective risk management
  • Calm under pressure

Languages

ENGLISH
Native
HINDI
Advanced
KANNADA
Fluent

Projects

  • Fake news detection system for social media – Designed and implemented a machine learning based classification model to distinguish between reliable and misleading news content; work co-authored and published in the International Journal of Engineering Research & Technology (IJERT), Vol. 12, Issue 06, 2023.
  • College proctoring online system – Developed a web based proctoring platform to support remote examinations, including user authentication and basic activity monitoring.
  • Number plate recognition system – Implemented a machine learning solution to detect and recognise vehicle number plates from images.

Timeline

Engineering intern

NASSCOM COE

Bachelor of Engineering in Computer Science -

BMS College of Engineering

12th grade - Computer Science (CSE)

National Public School Indiranagar

Master of Science - Management

Queen Mary University of London

10th grade - Science

National Public School Indiranagar

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Pranav Ravishankar