MC@mani-coleman
Mani Coleman portrait

Junior IT student focused on data analytics

I build practical data and security skills through project work and hands-on externships, preparing to start a career in data analytics.

Work samples

Portfolio items include hands-on work with IoT cyber defense, attacks and defenses, and other project-based learning that build analytics and security experience.

  • Hydroficient IoT Cyber Defense Externship
    Hydroficient IoT Cyber Defense Externship
    Hydroficient logo

    Hydroficient · Mar 2026 · ✅ Verified by Extern

    Hydroficient IoT Cyber Defense Externship

    Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

    Top performerPython ProgrammingData AnalysisThreat ModelingDashboard Development
  • IoT Security (Hydroficient Simulation) - AI anomaly detector
    IoT Security (Hydroficient Simulation) - AI anomaly detector

    Developed a real-time security dashboard (Streamlit) to monitor pipeline health, detect anomalies, and visualize system threats. Identified vulnerabilities such as eavesdropping, spoofing, replay attacks, and denial-of-service (DoS). Conducted security testing and attack simulations (including replay attacks), and evaluated TLS performance to identify vulnerabilities and strengthen system defenses. Built and validated an end-to-end IoT security system that simulates real-world infrastructure, detects anomalies, and protects against attacks such as spoofing and replay attacks.

    PythonJSONPandasStreamitMachine LearningData Analysisclaudechat GPTGemini

About me

I build practical data and security skills through project work and hands-on externships, preparing to start a career in data analytics.

I am Mani Coleman, a third-year Information Technology student pursuing a bachelor's degree with a focus on data analytics. I have limited professional experience and am building practical skills through hands-on projects, including an IoT cyber defense externship that covered attack techniques and network-level defenses.

Externships

Hydroficient IoT Cyber Defense Externship

Hydroficient

Experience

Cyber Security Analyst Intern

Webacy · November- November 2024

Cyber Defense Extern

Hydroficient · February - March,2026

Cyber Security Analyst Intern

Webacy · October - October,2025

Education

CENTRAL UNIVERSITY

Bachelor of Science in Information and Technology · Class of 2026

SWEDRU SECONDARY SCHOOL

Diploma In Visual Arts · Class of 2022

Skills

Data analytics (studying)Information technology fundamentalsIoT security conceptsNetwork defenses (TLS, mTLS)Cyberattack techniques (spoofing, replay)

✅ Verified by Extern

Hydroficient IoT Cyber Defense Externship

Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.

Python ProgrammingData AnalysisThreat ModelingDashboard Development

Overview

The work analyzed The Grand Marina's HYDROLOGIC IoT pipeline, built and attacked an MQTT-based sensor system, then implemented layered defenses and measured their performance. Deliverables include a threat model, Python sensor generator, secured TLS/mTLS pipeline, provisioning policy, replay-defense experiments, a live dashboard, and an optional anomaly model. The work was awarded Top Performer

Hydroficient IoT Cyber Defense Externship

What I've accomplished

I delivered a complete security package for a simulated HYDROLOGIC deployment: a professional threat model, Python sensor log generator, insecure and then TLS/mTLS-secured MQTT pipeline, a provisioning policy, replay-attack defenses with measured rejection rates, a real-time dashboard, and an integrated Isolation Forest anomaly detector.

Top performer

Project breakdown

View all work

IoT Security (Hydroficient Simulation) - AI anomaly detector

Developed a real-time security dashboard (Streamlit) to monitor pipeline health, detect anomalies, and visualize system threats. Identified vulnerabilities such as eavesdropping, spoofing, replay attacks, and denial-of-service (DoS). Conducted security testing and attack simulations (including replay attacks), and evaluated TLS performance to identify vulnerabilities and strengthen system defenses. Built and validated an end-to-end IoT security system that simulates real-world infrastructure, detects anomalies, and protects against attacks such as spoofing and replay attacks.

PythonJSONPandasStreamitMachine LearningData Analysisclaudechat GPTGemini
View all work