Summary
Overview
Work History
Education
Skills
Certification
Projects
Languages And Technologies Used
Personal Information
Disclaimer
Timeline
Generic

Shobitha A S

Bangalore

Summary

Motivated student with proven ability to excel in collaborative and independent environments. Demonstrates a strong work ethic and exceptional organizational skills. Proficient in information technology and social media, contributing to effective communication and project execution.

Overview

1
1
Certification

Work History

Intern

Edu Station (IBM)
01.2024 - 06.2024
  • Utilized a variety of techniques including linear regression, logistic regression, decision tree, random forest, gradient boosting, and neural networks.
  • Generated reports on model performance evaluation results.
  • Implemented strategies for dealing with imbalanced datasets.
  • Tested, validated and reformulated models to foster accurate prediction of outcomes.

Education

Master of Computer Applications - Computer Applications

Reva University
Bangalore, Karnataka
11-2024

Bachelor of Computer Applications - Computer Applications

Reva University
Bangalore, Karnataka
10-2022

Skills

  • Time management Skills
  • Machine learning techniques
  • Data analysis and interpretation
  • Quick Learner
  • Analytical Thinking
  • Positive Learning Process
  • Adaptability
  • Java
  • SQL
  • Python
  • Microsoft Windows
  • Linux
  • HTML
  • CSS
  • JavaScript
  • Selenium
  • Cucumber
  • Software development lifecycle
  • Testing and quality process
  • Agile
  • DevOps

Certification

  • MTA: Introduction to Programming Using HTML and CSS
  • Basics of Python
  • IT Specialist - Cybersecurity
  • Microsoft Azure Fundamentals
  • Microsoft Azure AI Fundamentals

Projects

Dispatch Chat Application: 

The Dispatch Chat Application is designed to facilitate real-time communication between dispatch teams and field agents. It streamlines messaging, allowing dispatchers to send instructions, updates, and receive live responses from agents in the field. The application ensures seamless coordination, improving operational efficiency and timely decision-making during dispatch activities. 

Analysis of Network Anomaly Behavior Through the Applications of Advanced Ensemble Techniques: 

Analysis of Network Anomaly Behaviour Through the Applications of Advanced Ensemble Techniques, focuses on detecting unusual network behaviours that may indicate security threats. It utilizes advanced ensemble learning methods like bagging, boosting, and stacking to improve the detection accuracy of network anomalies. By leveraging multiple models, the system aims to reduce false positives and negatives, and effectively adapt to the evolving nature of cyberattacks. Emotional Based Music Recommender, Aims to recommend music tracks based on the user's emotions, detected through facial expressions or inputted mood. The system uses machine learning algorithms to classify emotions and match them with suitable songs, providing a personalized listening experience.

Languages And Technologies Used

  • Analysis of Network Anomaly Behavior, Python, Scikit-learn, XGBoost, LightGBM, TensorFlow, MySQL/MongoDB, NS-3, Wireshark
  • Emotional Based Music Recommender, Python, OpenCV, TensorFlow/Keras, Spotify API, Scikit-learn

Personal Information

  • Date of Birth: 07/07/01
  • Gender: Female
  • Nationality: Indian

Disclaimer

I hereby declare that the particulars and facts stated above are true to the best of my knowledge.

Timeline

Intern

Edu Station (IBM)
01.2024 - 06.2024

Master of Computer Applications - Computer Applications

Reva University

Bachelor of Computer Applications - Computer Applications

Reva University
Shobitha A S