Hello
Hi, I'm Jaden Mindich—a data scientist and machine learning enthusiast with a strong background in mathematics, statistics, and computer science. With a B.S. in Data Science from the University of Michigan and as a current M.S. in Computer Science student at Stevens Institute of Technology, I bring hands-on experience across a wide spectrum of data-driven projects, ranging from building neural networks for image colorization and generation to developing predictive models and optimization algorithms.
My Background
My expertise covers machine learning, data analysis, and statistical modeling, enabling me to uncover insights and solve complex problems effectively. Whether it's utilizing frameworks like PyTorch for deep learning or classic data science tools like R for predictive analytics, I take a flexible, results-oriented approach to each project.
In addition to data science, I have significant experience in software engineering and full-stack development, using technologies such as Python, Flask, React, SQL, and C++ to create scalable and robust systems. This combination of data science and engineering skills allows me to deliver end-to-end solutions that drive measurable impact and real-world success.
I am passionate about transforming data into meaningful value. Whether it's building advanced machine learning models, developing intuitive data-driven applications, or crafting innovative algorithms to drive business performance, my goal is to harness the power of data to make a tangible difference. Explore my projects to see how I turn complex challenges into actionable insights, leveraging data, technology, and creativity to deliver real-world solutions that make an impact.
Education
2020-2024
Bachelor of Science
Data Science
University of Michigan
2025-2026 (Expected)
Master of Science
Computer Science
Stevens Institute of Technology
Coursework: Data Structures & Algorithms, Applied Linear Algebra, Artificial Intelligence, Computer Vision, Statistical Computing, Data Mining and Statistical Learning, Applied Regression Analysis, Web Systems, Data Analysis, Calculus 1-3, Statistics and Data Analysis, Discrete Math, Programming & Data Structures, Computer Science Pragmatics, Markov Processes, Probability,
Coursework (In progress): Mathematical Foundations of Machine Learning, Knowledge Discovery and Data Mining, Algorithms
Skills
Programming: C++, C, R, Python, SQL, MATLAB, JavaScript, HTML/CSS
Tools/Frameworks: PyTorch, Hadoop, Flask, ReactJS, OpenCV, Matplotlib, Scikit-learn, PowerBI, Git, Jupyter, Unix/Linux
