---
title: "Vansh Choudhary - Solutions Architecture – Job Simulation in Gurugram | Tal"
description: "Meet Vansh Choudhary, Cybersecurity Enthusiast | Network Security • Vulnerability Assessment • Ethical Hacking | SIEM • Nmap • Wireshark | CCST Aspirant based in Gurugram."
image: "https://tal.club/meet/vansh-21/share-image"
---

# Vansh Choudhary on Tal

## Headline

Cybersecurity Enthusiast \| Network Security • Vulnerability Assessment • Ethical Hacking \| SIEM • Nmap • Wireshark \| CCST Aspirant

## About

Cybersecurity enthusiast with hands\-on experience in network security, vulnerability assessment, and threat analysis\. Skilled in tools such as Nmap and Wireshark, with practical exposure through cybersecurity simulations and real\-world projects\. Developed a federated learning\-based anomaly detection system for IoT networks, focusing on secure and privacy\-preserving threat detection\. Currently exploring advanced concepts like Zero Trust architecture, intrusion detection systems, and cloud security\. Actively seeking opportunities to apply my skills and grow as a cybersecurity professional\.

## Location

Gurugram

## Work experience

Solutions Architecture – Job Simulation at Amazon Web Services \(Forage\), Jan 2026 \- Apr 2026 · 4 mos, Remote, Completed a cloud architecture simulation focusing on designing secure and scalable systems\. • Designed cloud\-based architecture using AWS services • Applied best practices for system security and scalability • Implemented cost optimization strategies • Gained understanding of cloud security principles

Cybersecurity Analyst – Job Simulation at Tata Consultancy Services \(Forage\), Jan 2026 \- Apr 2026 · 4 mos, Remote, Completed a cybersecurity analyst job simulation involving real\-world security scenarios\. • Performed Identity and Access Management \(IAM\) strategy assessment • Identified security gaps and proposed mitigation strategies • Analyzed access control systems and risk factors • Gained practical exposure to cybersecurity frameworks and security analysis

Federated Learning\-Based Malware & Anomaly Detection for IoT Networks \(Cybersecurity Project\) at Academic Team Project, Jan 2026 \- Apr 2026 · 4 mos, Remote, Developed a federated learning\-based intrusion detection system for securing IoT networks as part of a collaborative team project\. • Collaborated in a team of 2 to design and implement a distributed anomaly detection system • Contributed to building machine learning models for detecting malware and anomalous network behavior • Applied federated learning techniques to ensure data privacy across decentralized nodes • Analyzed cyber threats such as botnet activity, unauthorized access, and DDoS attacks • Evaluated model performance using confusion matrix, precision, recall, and F1\-score • Visualized results using heatmaps, histograms, and anomaly score distributions

Student at K\.R\. Mangalam University, Aug 2023 \- Apr 2026 · 2 yrs 9 mos, Gurugram, Haryana, India

## Education

Bachelor of Science \(B\.Sc\), Cybersecurity, K\.R\. Mangalam University

Non\-Medical, Army Public School Kaluchak

[View the original profile](https://tal.club/meet/vansh-21)

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