Talluri Pranoom Keerthi Rathna

B.TECH in Information Technology

Janurary 2020 - April 2024

Relevant Coursework

• Machine learning
• Cloud Computing
• Distributed Database Systems

Intermediate M.P.C

July 2018 - May 2020

Relevant Coursework

• Mathematics
• Physics
• Chemistry

NIT Trichy

January 2024 - April 2024

Machine Learning Intern

• During my internship, I collaborated with a team of two to develop a network intrusion detection system using machine learning techniques.
• We focused on utilizing the CICIDS2017 dataset, specifically the CICIDS2017 Malware dataset, to train and evaluate our models.
• Our objective was to achieve high accuracy in detecting network intrusions while minimizing false positives. We employed various machine learning algorithms such as decision trees, random forests, and support vector machines, tuning hyperparameters and employing techniques like cross-validation to optimize model performance. Additionally, we conducted thorough model evaluations, assessing metrics such as accuracy, precision, recall, and F1-score to ensure the effectiveness of our approach in accurately identifying malicious network activities while minimizing the risk of false alarms.
• Through our collaborative efforts, we successfully developed and evaluated a robust network intrusion detection system, contributing to the field of cybersecurity.

Edu-Skills

December 2022 - Febraury 2023

AI-Ml Virtual

• Key skills and knowledge areas I gained from this program include understanding machine learning and Artificial Intelligence concepts, hands-on experience with algorithms.

Languages and Databases

Frameworks

Tools