Hello, I'm

Brendon T. Matsikinya

And I'm a

I'm a Business and Data Analyst with over four years of experience helping organizations make smarter decisions by turning complex systems and data into clear, meaningful insights. I’ve worked in roles spanning analytics, cybersecurity, and IT services, supporting payment infrastructure at CBZ Bank, ensuring 99.99% SLA compliance at BancABC, and leading digital improvements at Ai SPARK. Along the way, I’ve built a strong foundation in tools like SQL, Power BI, Tableau, Postilion, and Splunk, and I enjoy working across teams to bridge technical expertise with real business needs. I recently earned my Master’s in Business Analytics from William & Mary, where I deepened my skills in machine learning, data storytelling, and strategic thinking. I’m also passionate about cybersecurity and continuously growing my knowledge in that space. At the heart of what I do is a simple goal: use data and technology to solve problems, improve systems, and make a real impact.

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About Me

Business & Data Analyst!

Hi there! I’m a tech enthusiast and curious problem-solver with over 4 years of experience in the Financial Sector (Commercial Bank of Zimbabwe & BancABC) as a Technology Services Analyst, Cybersecurity Analyst, Data Analyst, and Senior Systems Analyst. Throughout my career, I’ve had the privilege of using technology to help businesses grow, work smarter, and innovate faster. I thrive on diving into data, uncovering insights, and solving challenges that make a real impact. What gets me excited? Turning complex problems into meaningful solutions, whether it’s building predictive models, streamlining business processes, or securing systems against cyber threats. I love using data to tell stories, guide decisions, and ultimately drive success. Need a quick laugh? Why did the data scientist quit his job? Because he didn’t get arrays! And what did the ethical hacker say when they found a cross-site scripting (XSS) bug? "Time to inject some humor… and a patch!" 😆

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Latest Projects

Credit Card Fraud Detection

Developed a machine learning system to detect fraudulent transactions and enhance financial security.

Ticketing System

Designed an automated ticketing platform for streamlined issue tracking and resolution.

DDoS Attack Detection

Implemented an anomaly detection model to identify and mitigate DDoS attacks in real-time.

Tableau Dashboard

Created interactive visualizations for data-driven insights using Tableau.

Machine Learning Model

Developed a predictive model using GDP data for economic insights.

Recommender System

Implemented hybrid recommendation system with TMDB dataset.

Where is My Ride?

Top 10 project at Virginia Datathon 2025: a predictive app for public transit arrival times across Virginia.

VGG16 Video Framing

Built a deep learning model using VGG16 for video frame analysis.

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