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<!DOCTYPE html>
<html lang="en">
<head>
<title>Caroline's Portfolio // MBCS Python Programmer</title>
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</head>
<body>
<a href="#content" class="skip-link">>> skip to main content</a>
<header id="top">
<h1><code>Hello World!</code> It's Caroline :)</h1>
<h2><strong>Python Programmer // Software QA & SecOps Analyst</strong></h2>
<p>Investigating code and securing data with a detective-mindset.</p>
</header>
<nav aria-label="main navigation">
<ul>
<li><a href="#about">About Me</a></li>
<li><a href="#portfolio">Portfolio</a></li>
<li><a href="#skills">Skills</a></li>
<li><a href="#contact">Contact Me</a></li>
</ul>
</nav>
<main id="content">
<section id="about" aria-labelledby="about-heading">
<h3 id="about-heading">About Me</h3>
<p>I'm an MBCS Python programmer with a strong focus on quality assurance, data analysis, and security-minded
problem-solving. I enjoy finding hidden issues, fine-tuning secure workflows, and bridging communication gaps.
My background spans cryptography, GUI development, NLP, data visualisation, and hands-on troubleshooting across
real-world systems, supported by strong administrative and communication skills.</p>
<p>I love clean code, clear documentation, and that satisfying moment when I solve the problem, no matter what
time it is. If you'd like to work with me, feel free to get in touch. :)</p>
<p class="return-link"><a href="#top">^^return to top</a></p>
</section>
<hr>
<section id="portfolio" aria-labelledby="portfolio-heading">
<h3 id="portfolio-heading">Project Showcase</h3>
<p>Here are some of the projects I've enjoyed building, ranging from technical coursework to personal development.
Each one reflects my approach to analysis, clarity, structure, and a detective-mindset.</p>
<ul>
<li class="portfolio-entry">
<h4>AES-256 Cipher Generator</h4>
<p>Python // Cryptography // PBKDF2 // AES-CBC</p>
<p>A PEP8-compliant encryption tool developed as my <strong>Open University capstone project</strong>. It uses
AES-256 in CBC mode with PBKDF2 key derivation, full input validation, and structured error handling.</p>
<ul>
<li><strong>Implementation</strong> || Implements AES-256 encryption in CBC mode with PBKDF2 key derivation.
</li>
<li><strong>Detective-Mindset</strong> || Integrated robust input validation and custom exception handling
(EmptyStringError, OneCharBirthMonthError) to prevent system crashes.</li>
<li><strong>Defensive Design</strong> || One million hash iterations to make the derived key computationally
expensive to hack!</li>
<li><strong>Professional Standards</strong> || Fully documented and PEP8-compliant, adhering to ISO/IEC
18033-3 and NIST FIP197 standards.</li>
<li><strong>Security Focus</strong> || Demonstrates security-focused programming and defensive coding.</li>
</ul>
<figure class="code-figure">
<figcaption>Defensive Programming & Input Validation</figcaption>
<div class="code-box">
except WordTooLongError: # catch trolling; words are <45-chars
print{f'The longest English word is '+
f'pneumonoultramicroscopicsilicovolcanoconiosis.')
</div>
</figure>
<p><a href="https://github.com/tehcara/aes-cbc-cipher-generator">>> View on GitHub</a></p>
</li>
<li class="portfolio-entry">
<h4>Supermarket Sales Analysis</h4>
<p>Python // Pandas // Matplotlib // Seaborn // Data Cleaning // Visualisation</p>
<p>An end-to-end data analysis project developed as my <strong>Edge Hill University capstone project</strong>.
It explores customer behaviour, sales trends, and product performance. It includes data wrangling, feature
extraction, and a wide range of visual charts.</p>
<ul>
<li><strong>Data Integrity</strong> || Cleaned and normalized a 3-month real-world retail dataset using
Pandas.</li>
<li><strong>Visualisation</strong> || Built clear, readable charts using Matplotlib and Seaborn to
communicate complex performance data.</li>
<li><strong>Analytical Insight</strong> || Located anomalous gems in the homogenous swill to identify true
performance outliers.</li>
<li><strong>Operational Value</strong> || Identified Saturday at 7 pm as the peak transaction window,
providing actionable insights for staff redeployment.</li>
<li><strong>Critical Thinking</strong> || Evaluated dataset limitations, noting the downward trend and the
risks of short-term data modeling.</li>
</ul>
<figure class="code-figure">
<figcaption>Data Cleaning & Feature Engineering</figcaption>
<div class="code-box">
day_list = [] # var to hold days
for i in range(df.shape[0]): # iterate over all rows
# extract day from mm/dd/yyyy
day = int(str(df['Date'][i]).split('/')[1])
day_list.append(str(day)) # append to list
df['Day'] = day_list # assign new column
</div>
</figure>
<p><a href="https://github.com/tehcara/supermarket-sales-analysis">>> View on GitHub</a></p>
</li>
<li class="portfolio-entry">
<h4>Sentiment Analysis of Game Reviews</h4>
<p>Python // NLTK // TextBlob // NER // NLP</p>
<p>A natural language processing (NLP) project analysing sentiment in video game reviews, with additional
named entity recognition (NER) to extract key entities.</p>
<ul>
<li>Sentence-level sentiment scoring and aggregation.
</li>
<li>Custom classification logic for positive/negative reviews.</li>
<li>Named Entity Recognition using NLTK.</li>
<li>Demonstrates text processing, algorithm design, and data interpretation.</li>
</ul>
<figure class="code-figure">
<figcaption>Sentiment Classification Logic</figcaption>
<div class="code-box">
for sentence in blob.sentences:
review_polarity += sentence.sentiment.polarity
if review_polarity > 0.27: # avg dataset polarity
sentiment_label_for_current_review = 1 # positive
else:
sentiment_label_for_current_review = 0 # negative
</div>
</figure>
<p><a href="https://github.com/tehcara/nlp-game-reviews-sentiment-analysis">>> View on GitHub</a></p>
</li>
<li class="portfolio-entry">
<h4>GUI Games</h4>
<p>Python // Tkinter // Event-Driven Programming</p>
<p>Two small but polished GUI games; Tic-Tac-Toe and Rock-Paper-Scissors. They demonstrate state management,
event handling, and UI design.</p>
<figure class="code-figure">
<figcaption>GUI Implementation: Tic-Tac-Toe Game Interface</figcaption>
<div class="project-screenshot">
<img src="tic-tac-toe.png"
alt="Tic-Tac-Toe GUI showing a winning game state with blue X and red O markers."
width="350"
height="300"
loading="lazy"
decoding="async">
</div>
</figure>
<p><strong>Tic-Tac-Toe</strong> feature highlights:</p>
<ul>
<li>Dynamic 3x3 grid.</li>
<li>Win-condition algorithm.</li>
<li>Clean, readable game logic.</li>
</ul>
<p><strong>Rock-Paper-Scissors</strong> feature highlights:</p>
<ul>
<li>Event-driven UI.</li>
<li>Randomised computer choices.</li>
<li>Score tracking and visual feedback.</li>
</ul>
<figure class="code-figure">
<figcaption>UI State Management</figcaption>
<div class="code-box">
# player colour in tic-tac-toe
style.configure('played.TButton', foreground='blue')
# computer colour
style.configure('ai.TButton', foreground='red')
</div>
</figure>
<p><a href="https://github.com/tehcara/tic-tac-toe-game">>> View Tic-Tac-Toe on GitHub</a></p>
<p><a href="https://github.com/tehcara/rock-paper-scissors-game">>> View Rock-Paper-Scissors on GitHub</a></p>
</li>
</ul>
<p class="return-link"><a href="#top">^^return to top</a></p>
</section>
<hr>
<section id="skills" aria-labelledby="skills-heading">
<h3 id="skills-heading">Skills</h3>
<p>Here's a quick overview of some tools and techniques I've worked with:</p>
<ul>
<li><strong>Programming</strong> || Python</li>
<li><strong>Data</strong> || Pandas, Matplotlib, Seaborn</li>
<li><strong>NLP</strong> || NLTK // TextBlob</li>
<li><strong>GUI Development</strong> || Tkinter</li>
<li><strong>Security</strong> || AES-256 // PBKDF2 // secure coding practices</li>
<li><strong>Web</strong> || HTML // CSS</li>
<li><strong>Tools</strong> || Git (GitHub)</li>
<li><strong>QA</strong> || Test case design // defect isolation // data validation // UAT</li>
<li><strong>Soft Skills</strong> || Clear documentation // problem-solving // communication</li>
</ul>
<p class="return-link"><a href="#top">^^return to top</a></p>
</section>
<hr>
<section id="contact" aria-labelledby="contact-heading">
<h3 id="contact-heading">Contact me</h3>
<p><strong>Email</strong> || <a href="mailto:caroline.campbell@bcs.org">caroline.campbell@bcs.org</a></p>
<p><strong>GitHub</strong> || <a href="https://github.com/tehcara">github.com/tehcara</a></p>
<p><strong>LinkedIn</strong> || <a href="https://www.linkedin.com/in/care-campbell">linkedin.com/in/care-campbell</a></p>
<p class="return-link"><a href="#top">^^return to top</a></p>
</section>
</main>
<footer>
<p>Built with care, curiosity, and gallons of black coffee!</p>
<p>This webpage was coded by Caroline Lau Campbell LLB PgDip MBCS, using HTML and CSS.</p>
<p>It was last updated in May 2026.</p>
<p>© 2024 to 2026 Caroline L. Campbell. All coffee beans reserved.</p>
</footer>
</body>
</html>