Applied data science, statistical modeling, machine learning systems, and research collaboration for academic and industry projects.
Regression, Bayesian methods, hypothesis testing, and inference systems.
Data cleaning, exploration, visualization, and interpretation.
Design of experiments, A/B testing, and research methodology.
Model development, training pipelines, and evaluation frameworks.
LLMs, deep learning systems, and applied AI research support.
Pipeline design, data architecture, and scalable system integration.
Modern AI systems rely heavily on statistical foundations. My consulting approach integrates probabilistic modeling, optimization theory, and machine learning architectures to build robust, interpretable systems.
If you have a research problem, dataset, or machine learning challenge, you can initiate a collaboration through the contact page.
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