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Achievement: Pull Shark

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Achievement: Pull Shark

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Harshada42/README.md

Harshada Aghav

Cybersecurity & Backend Systems Engineer | M.Tech in Computer Science & Engineering (Cybersecurity)

IEEE Publication - First Author Operation Health Hazard SOC Phishing Triage AI Threat Detection Pipeline Network Anomaly Detection NeetCode Submissions

💼 Professional Summary

Cybersecurity and software engineer with strong foundations in systems programming, operating system internals, and threat analytics. Experienced in building automated data processing pipelines, behavioral anomaly detection engines, and network simulators.

  • Target Roles: Security Engineering (Threat Detection / SecOps), Cloud & Backend Engineering, Data Engineering.
  • Key Competencies: Large-scale log ingestion, behavioral intrusion detection, protocol analysis, and algorithmic problem-solving.

🛠️ Technical Toolkit

Domain Technologies & Frameworks
Languages & Scripting Python, SQL, Bash / Shell Scripting
Security & Threat Detection SOC Incident Triage, Threat Modeling, Log Analysis, Digital Forensics
Data & Pipeline Engineering PySpark, Databricks, Delta Lake, ETL Pipelines, Snowflake
Cloud AWS, IAM
DevOps & Tools Docker, Kubernetes, Jenkins, Linux, Grafana

🔬 Featured Engineering Projects & Security Investigations (TryHackMe)

Project / Investigation Focus & Architecture Tech Stack / Tooling
Operation Health Hazard: Threat Hunting Structured incident response analyzing a trojanized npm package compromise, registry autostart persistence, and PowerShell execution logs. Threat Hunting, Windows Event Logs, Splunk
SOC Alert Triage & Phishing Investigation Tier-1/Tier-2 SOC triage workflow covering email header decoding, malicious payload artifact extraction, and IOC containment. Phishing Analysis, Email Headers, VirusTotal, Threat Intel
Quantitative Data Quality & Risk Analytics Quantitative data validation and risk engine integrating relational MySQL ingestion, automated quality scoring, and Isolation Forest anomaly detection. Python, Pandas, MySQL, Isolation Forest, OpenPyXL
AI-Driven Threat Pipeline Scalable telemetry ingestion pipeline parsing raw network traffic to extract anomalous security indicators. PySpark, Delta Lake, Python
Network Anomaly Detection IDS Evaluated ML and Deep Learning architectures on the NSL-KDD dataset to classify network intrusion vectors. Python, Scikit-Learn, ML/DL
Transaction Risk Analytics Engine Quantitative transaction validation engine integrating automated data quality scoring and unsupervised anomaly detection. Python, Pandas, Isolation Forest

📄 Research & Publications

Publication & Focus Venue & DOI Role & Access
Machine Learning and Deep Learning for Network Anomaly Detection
Applied Cybersecurity Research & Intrusion Detection		 IEEE Xplore Digital Library
Published: 21 January 2026
DOI: 10.1109/ICFT66708.2025.11336792		 Lead Author

IEEE Xplore

🧠 Algorithmic Problem Solving & DSA

Consistent problem-solving across core patterns, data structures, and algorithmic complexity:

NeetCode Repository Primary Language

Core Pattern Key Concepts & Techniques
Arrays, Hashing & Two Pointers Hash maps, frequency tracking, prefix sums, in-place partitions
Sliding Window & Two Pointers Dynamic window constraints, substring optimization, sub-array bounds
Stack & Binary Search Monotonic stacks, boundary conditions, search in rotated sorted arrays
Trees, Heaps & Graphs BFS/DFS traversal, priority queues/Top-K elements, topological sort
Dynamic Programming Memoization, iterative state transitions, optimization subproblems

📁 Explore all tracked solutions, complexity writeups, and daily submissions:
👉 Harshada42/neetcode-submissions

📊 GitHub Activity & Hands-on Implementation

Harshada's GitHub Stats

🛠️ Applied Skills & Scenario Implementations

Focus Area Engineering Projects & TryHackMe Simulations Practical Skills Applied
Threat Hunting & Incident Response Operation Health Hazard (THM)
SOC Phishing Triage 		Windows Event Logs, Sysmon telemetry, Registry persistence analysis, PowerShell payload deobfuscation, IOC extraction, Email header decoding
Pipeline & Telemetry Ingestion AI-Driven Threat Pipeline PySpark, Delta Lake architecture, batch/streaming log ingestion, schema validation, distributed data processing
Quantitative Data Quality & Risk Quantitative Risk Analytics Engine Automated tabular data quality audits, MySQL relational queries, Isolation Forest unsupervised
Anomaly Detection & IDS Network Anomaly Detection
Transaction Risk Engine 		Scikit-Learn, Isolation Forest, feature engineering on NSL-KDD, unsupervised outlier scoring, threshold tuning
Algorithmic Problem Solving NeetCode 150 Tracker Time/space complexity optimization ($O(N)$, $O(\log N)$), monotonic stacks, sliding window, tree/graph traversals in Python

Pinned Loading

  1. Network-Anomaly-Detection-Using-Machine-Learning-and-Deep-Learning-Models Network-Anomaly-Detection-Using-Machine-Learning-and-Deep-Learning-Models Public

    Implemented Anomaly-based intrusion Detection system using NSL-KDD dataset for identifying abnormal behavior in network traffic causing network threats. Evaluated and compared models’ logistic reg…

    Jupyter Notebook

  2. Quantitative-Data-Quality-Risk-Analytics- Quantitative-Data-Quality-Risk-Analytics- Public

    Transaction risk scoring and automated quality checks using Python, Pandas, and Isolation Forest.

    Python

  3. AI-Driven-Data-Pipeline-for-Threat-Detection AI-Driven-Data-Pipeline-for-Threat-Detection Public

    End-to-end data pipeline processing raw network logs using PySpark and ML for threat pattern extraction.

    Jupyter Notebook

  4. finance-transaction-risk-analytics-flask finance-transaction-risk-analytics-flask Public

    Web app for financial fraud indicators and suspicious activity triage built with Flask and SQLite.

    Python

  5. soc-alert-triage-phishing-investigation soc-alert-triage-phishing-investigation Public

    Simulated SOC analysis workflow investigating email headers, malicious artifacts, and kill chain containment.

  6. network-packet-routing-simulator-javaswing network-packet-routing-simulator-javaswing Public

    Java Swing-based desktop application for simulating packet routing, protocol flow, TTL handling, and network topology visualization.

    Java