Summary
Work History
Education
Skills
Projects
Hobbies and Interests
Languages
Timeline
Generic

RAVI R

Bengaluru

Summary

To get a growth oriented position in a reputed organization where my skills can be utilized for improvement and success of the organization.

Work History

Full stack web application development

Karunadu technologies
Bengaluru
02.2025 - 05.2025
  • Completed day-to-day duties accurately and efficiently.
  • Contributed innovative ideas and solutions to enhance team performance and outcomes.
  • Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.
  • Collaborated closely with team members to achieve project objectives and meet deadlines.
  • Achieved cost-savings by developing functional solutions to problems.

Education

Bachelor Of Engineering - Computer Science and Engineering

SriVenkateshwara College of Engineering

Pre-University Education - PCMB

VBR PU College

SSLC -

Bright English School

Skills

  • C
  • JAVA
  • PYTHON

    SOFT SKILLS

  • Communication skills
  • Quick Learner

Projects

Crop price prediction, Agriculture plays a vital role in the global economy, providing food, raw materials, and employment to billions of people. One of the major challenges faced by farmers, traders, and policymakers is the volatility of crop prices. These fluctuations can result from various factors such as weather conditions, pest outbreaks, market demand, government policies, and global economic trends.

Detection of analysis of fake news Users in social media

Detecting and analyzing fake news on social media involves a variety of techniques and approaches. Below is a breakdown of key points involved in identifying fake news and the analysis of users who spread it:

1. Understanding Fake News:

Definition: Fake news refers to deliberately fabricated or misleading information presented as real news.
Categories: Can include disinformation (false information spread deliberately) and misinformation (false information spread without harmful intent).

2. User Behavior and Characteristics:

Profile Analysis: Fake news is often spread by accounts with limited or suspicious activity (e.g., newly created accounts, lack of interaction, generic profile information).

Engagement Patterns: Users who spread fake news often have irregular or artificial engagement patterns, such as sudden spikes in posts or likes, unusually high shares, or likes from bots.
Echo Chambers: Fake news spreaders often target echo chambers, where users with similar beliefs reinforce each other's views.

Hobbies and Interests

  • Playing games
  • Travelling
  • Watching movies

Languages

English
Beginner
A1
Kannada
Beginner
A1

Timeline

Full stack web application development

Karunadu technologies
02.2025 - 05.2025

Bachelor Of Engineering - Computer Science and Engineering

SriVenkateshwara College of Engineering

Pre-University Education - PCMB

VBR PU College

SSLC -

Bright English School
RAVI R