Big data, LLMs, and ML algorithms for anomaly detection

I implement machine learning and data science solutions for a variety of problems involving various types of data.

* Experience deriving and implementing machine learning solutions to a variety of problems.* Data cleanup and data science from various messy sources

• Developed experiments to uncover mechanisms underlying the development of cognition• Designed, implemented, and ran studies using neuroimaging (EEG) and eye-tracking with human participants• Modeled individual participant learning differences using Kohonen network models (SOMs)• Processed and visualized data using Python, MATLAB, R, and Github in a Linux environment.• Inferred latent cognitive variables through hierarchical Bayesian models and connectionist network models… Show more • Developed experiments to uncover mechanisms underlying the development of cognition• Designed, implemented, and ran studies using neuroimaging (EEG) and eye-tracking with human participants• Modeled individual participant learning differences using Kohonen network models (SOMs)• Processed and visualized data using Python, MATLAB, R, and Github in a Linux environment.• Inferred latent cognitive variables through hierarchical Bayesian models and connectionist network models among others• Managed, mentored, and trained students in conducting research• Designed and taught programming course covering the basics of MATLAB and Python Show less

The CBCSL applies pattern recognition to problems in computer vision, cognitive science, and developmental psychology to name a few.• Designed and implemented novel shape detection algorithms using kernel regression and probabilistic graphical models • Defined models for emotion perception from faces based on Discriminant Analysis and Markov Models • Developed software interfacing MATLAB with OpenCV to quickly and automatically format image databases • Used command line… Show more The CBCSL applies pattern recognition to problems in computer vision, cognitive science, and developmental psychology to name a few.• Designed and implemented novel shape detection algorithms using kernel regression and probabilistic graphical models • Defined models for emotion perception from faces based on Discriminant Analysis and Markov Models • Developed software interfacing MATLAB with OpenCV to quickly and automatically format image databases • Used command line tools in Linux to batch process large databases, and quickly manipulate files• Worked in teams and independently to define research hypothesis and approach • Published and presented research in journals and conferences through oral and poster presentations • Drafted grant proposals and technical documents to obtain new funding and document research • Studied independently to rapidly acquire new skills and knowledge outside of my expertise Show less

• Awarded fellowship for best interdisciplinary research project proposal • Discovered relevant patterns in noisy high dimensional data using machine learning and pattern recognition methods • Developed custom software to format and organize raw eye track data from several sources • Applied SVM, LDA, ANOVA, Logistic Regression and other tools for feature selection and classification • Implemented MATLAB toolbox with documentation for eye tracking analysis and visualization. Get… Show more • Awarded fellowship for best interdisciplinary research project proposal • Discovered relevant patterns in noisy high dimensional data using machine learning and pattern recognition methods • Developed custom software to format and organize raw eye track data from several sources • Applied SVM, LDA, ANOVA, Logistic Regression and other tools for feature selection and classification • Implemented MATLAB toolbox with documentation for eye tracking analysis and visualization. Get it on my GitGub page ( https://github.com/sriveravi ) Show less