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Austine O Obasuyi

 Cybersecurity and Data Analyst

Phone:

+90-538-779-3556

Email:

Address:

Istanbul / Turkey

Date of Birth:

August 1st

  • GitHub
  • Linked
  • Untitled
  • email
  • Whatsapp

About Me

Cybersecurity and Data Analyst.

Welcome to my portfolio! I’m Austine Obasuyi a dedicated professional combining expertise in Cybersecurity and Data Analysis to help organizations protect their assets and leverage data to drive intelligent, data-driven decisions. With a strong foundation in both security protocols and data analytics, I specialize in bridging the gap between securing data and extracting valuable insights from it to enhance business performance.

My Journey in Cybersecurity and Data Analytics

My journey into the fields of Cybersecurity and Data Analysis began with a deep curiosity about how data systems work and how they can be protected from evolving cyber threats. After earning my [Certification] in [Field, e.g., Computer Science, Information Security, Data Analytics], I realized that the future of data-driven decision-making and protecting critical information systems lies at the intersection of these two disciplines.

Throughout my career, I have worked in various domains, from securing IT infrastructures and detecting vulnerabilities to analyzing complex datasets to support business growth. I’m passionate about using data to predict, prevent, and respond to cyber threats while ensuring the secure flow of data within organizations.

Core Skills and Expertise

With my experience in both Cybersecurity and Data Analysis, I have developed a versatile skill set to tackle a wide range of challenges:

Cybersecurity Expertise:

Data Analysis Expertise:

  • Network Security: Implementing firewalls, intrusion detection/prevention systems, and VPNs to secure an organization’s network.

  • Penetration Testing: Identifying and exploiting vulnerabilities to assess the security posture of systems, networks, and applications.

  • Incident Response: Managing and mitigating security incidents to minimize data breaches and other security threats.

  • Security Audits: Conducting audits to assess compliance with security standards, regulations, and best practices.

  • Encryption & Cryptography: Applying encryption techniques to safeguard sensitive data and ensure secure communication.

  • Threat Intelligence: Using data to identify potential threats and breaches in real-time, analyzing patterns of cyber-attacks.

  • Data Manipulation: Proficient in using Python, R, and SQL to clean and transform raw data into actionable insights.

  • Predictive Analytics: Applying statistical and machine learning models to forecast trends, identify threats, and optimize processes.

  • Data Visualization: Using Tableau, Power BI, Excel and Matplotlib to create visually engaging and interactive reports to communicate findings effectively.

  • Big Data Analytics: Leveraging technologies like Apache Spark, Hadoop, Excel and cloud computing for processing and analyzing large datasets.

  • Advanced Statistical Techniques: Applying advanced statistics to uncover patterns, trends, and anomalies within datasets.

Why I'm Passionate About Cybersecurity and Data Analytics

Tools and Technologies I Use

  • Cybersecurity Tools:

    • Wireshark, Kali Linux, Metasploit, Burp Suite

    • Nessus, Snort, OSSEC, Nmap

    • SIEM Tools: Splunk, ELK Stack

  • Data Analysis Tools:

    • Programming Languages: Python (Pandas, NumPy, Scikit-learn), R, SQL

    • Data Visualization: Tableau, Power BI, Excel, Matplotlib, Seaborn

    • Big Data Technologies: Apache Spark, Hadoop, AWS, Google Cloud

    • Statistical Analysis: Regression analysis, time series analysis, hypothesis testing

What excites me most about Cybersecurity and Data Analytics is their ability to complement each other in today’s digital world. With increasing cyber threats, it’s essential to protect data systems, but it’s equally important to understand the stories behind the data to make informed, data-driven decisions. By combining Cybersecurity with Data Analytics, I strive to protect organizations while enabling them to harness the power of data to drive business success.

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I am particularly fascinated by the growing integration of machine learning and artificial intelligence in both fields. Using predictive analytics to prevent data breaches and leveraging AI to identify security vulnerabilities is the future, and I’m excited to be part of this transformative process.

My Approach to Cybersecurity and Data Analysis

I adopt a strategic, data-driven approach to both Cybersecurity and Data Analysis, ensuring that each decision is informed, efficient, and aligned with the business’s goals:

  1. Risk Assessment: In Cybersecurity, I conduct thorough risk assessments to identify critical vulnerabilities and threats, ensuring that systems are protected from emerging cyber risks.

  2. Data Exploration and Cleaning: In Data Analysis, I ensure that data is of the highest quality by cleaning, transforming, and preparing it for analysis to produce meaningful insights.

  3. Predictive Models & Threat Detection: Combining my skills in Data Analysis and Cybersecurity, I create predictive models to identify potential threats or data breaches, allowing businesses to mitigate risks before they happen.

  4. Visualization & Reporting: Whether in Cybersecurity or Data Analysis, I use effective data visualizations and clear reporting to ensure that stakeholders can quickly understand the findings and make informed decisions.

Let’s Connect

  • GitHub
  • Linked
  • Untitled
  • email
  • Whatsapp

I am always open to new opportunities to work on exciting Cybersecurity and Data Analytics projects. If you are looking for someone to secure your data infrastructure, analyze critical business data, or simply want to connect and exchange ideas about the latest trends in both fields, feel free to reach out to me!

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