About Me

Benjamin Hammack

Welcome! I'm Benjamin Hammack, a passionate data scientist and software developer with a strong background in machine learning, data analysis, and web development. I turn complex data into actionable insights and build innovative solutions that make a real impact.

With a Master's degree in Data Science and extensive experience in both academic research and industry applications, I specialize in developing machine learning models, creating data-driven applications, and solving challenging technical problems.

My work spans across various domains, from biology and healthcare to media and the automotive industry. I always strive to find challenging problems they need an innovative solution.

Professional Experience

Nielsen

Lead Data Scientist

Analyzed consumer behavior and market trends using advanced statistical methods and machine learning algorithms.

Volkswagen

Data Strategy Scientist

Developed automotive analytics solutions and optimization models for manufacturing and supply chain processes.

Farmlogix

Data Visualization Lead / Data Services Manager

Built agricultural technology solutions and data management systems for precision farming applications.

Perficient

Full-Stack Developer

Built scalable web applications and data processing pipelines using modern technologies.

National Express

Software Engineer Intern

Optimized transportation logistics and developed data-driven solutions for fleet management and route optimization.

Education

Lewis University

Master of Science in Data Science

Specialized in machine learning, neural networks, and statistical analysis with a concentration on computational biology.

Ball State University

Bachelor's Degree

Foundation in computer science, mathematics, and analytical thinking that prepared me for advanced data science studies.

Key Achievements

🧠 Thought Leader

Redefined how data science and machine learning is looked at within my teams at Nielsen and VW; pushing us towards more cutting edge solutions and mindsets.

🎓 Master's Thesis

Developed a neural network system for Alzheimer's disease detection from MRI images with high accuracy rates and better performance than any other detection process at the time.

🏆 Kaggle Competitions

Regular participant in a wide variety of Kaggle competitions where I consistently place highly.

⚾ Sports Analytics

Created cutting edge models and solutions for some of the most complex problems in sports analytics.

🌐 Web Applications

Built, deployed, and maintain multiple web applications including this webapp.