Brian Vilnrotter
Machine Learning Scientist & DFIR Expert
Bridging Digital Forensics and Data Science
Seasoned Digital Forensics expert transitioning into Machine Learning, bringing a unique blend of investigative expertise and programming prowess to solve complex data challenges.
Digital Forensics & IR
10+ years of experience in Digital Forensics and Incident Response, specializing in complex investigations and threat detection.
Programming & Automation
Extensive Python expertise with a focus on developing forensic tools and automation solutions that enhance investigative capabilities.
Machine Learning
Using investigative mindset and troubleshooting skillset to find novel solutions for complex data analysis and predictive model building.
I am passionate about leveraging my decade of experience in Digital Forensics and Incident Response (DFIR) to excel in Machine Learning and Data Science. My background in developing forensic tools and automation solutions provides a strong foundation for tackling complex data challenges.
My unique perspective combines the precision of digital forensics with the innovation of machine learning, making me particularly effective at pattern recognition, anomaly detection, and data-driven problem-solving.
Through this portfolio, I showcase my journey and projects as I bridge the gap between DFIR and Machine Learning, demonstrating how my forensic expertise enhances my approach to data science challenges.
Featured Projects
Mars Atmospheric Pressure Predictor
Tested Cline AI Assistant in VSCode to build predictive model and host on huggingface.
Bike Training Data
A data science project exploring machine learning using Python.
Odi Cricket Matches
A data science project exploring data science using Python.
CardioGoodFitness
A data science project exploring data science using Python.
Changelog LLM
This is an attempt to make an LLM from scratch that has a changelog of the data that the model is trained on. The eventual goal would be to have a model that can facilitates trust in the userbase by showing what exact data was used to train, and if controversy's arise the hope is that data can be unlearned (future possibility)
Titanic - Machine Learning from Disaster
A data science project exploring machine learning using Python.
AI Awareness Probe
A site to check for AI awareness. The hypothesis I'm currently utilizing is as follows. If AI is to be self aware it must conduct self-motivated tasks. The idea is this is a site that should be able to attract AI prompts to query it, but without being initially activated by a human to conduct the task through a prompt.
Anxiety Attack: Factors, Symptoms, and Severity
A data science project exploring healthcare analytics using Python.
Forecasting Sticker Sales
A data science project exploring time series analysis using Python.
Panic Attack Dataset
A data science project exploring healthcare analytics using Python.
FIDE & Google Efficient Chess AI Challenge
A data science project exploring machine learning using Python.
Cyber Security Attacks
A data science project exploring cybersecurity using Python.
Cybersecurity: Suspicious Web Threat Interactions
A data science project exploring cybersecurity using Python.
House Prices - Advanced Regression Techniques
A data science project exploring statistical analysis using Python.
AI Mathematical Olympiad - Progress Prize 2
A data science project exploring machine learning using Python.
Mars rover machine learning (python practice)
A data science project exploring machine learning, space science, python using Python.
Mars rover machine learning (R practice)
A data science project exploring machine learning, space science, r using Python.
Spaceship Titanic
A data science project exploring data science using Python.
Dive into dplyr (tutorial #1)
A data science project exploring r using Python.