JARYT D. SALVO

Jaryt D. Salvo

Data Scientist & Machine Learning Engineer

Current Teaching Work

Computers 6 — Microsoft Office Suite
Hudson Memorial School · Aug 2025 – Present
Computers Teacher (Grades 6-8)

Digital productivity through the Microsoft Office Suite.

  • Microsoft Word — professional document creation, formatting, images, tables, layout, and research reports
  • Microsoft PowerPoint — presentation design, views, visuals, transitions, animations, speaker notes, and mini-movies
  • Microsoft Excel — spreadsheets, formulas, functions, conditional formatting, tables, charts, and data integration
Computers 7 — Computational Thinking & Web Development
Hudson Memorial School · Aug 2025 – Present
Computers Teacher (Grades 6-8)

Computational thinking and web development.

  • Problem Solving — Define, Prepare, Try, Reflect; problem types; and constraints
  • HTML & CSS — HTML structure, CSS styling, classes, images, copyright, and accessibility
  • Multi-Page Websites — Divs, Flexbox, links, pseudo-classes, wireframes, and team websites
Computers 8 — Functional Programming in Clojure
Hudson Memorial School · Aug 2025 – Present
Computers Teacher (Grades 6-8)

Functional programming with Clojure through a REPL-first, project-based sequence.

  • Foundations & Logic — programming foundations, prefix notation, functions, predicates, conditionals, and truth tables
  • Collections & Iteration — hash-maps, vectors, sets, immutability, generators, and loops
  • The Bakery Project — robot commands, helper functions, DRY code, predicates, sets, and bakery iteration
  • Algorithms — higher-order functions, pipelines, algorithm choices, tracing, teaching, and live REPL demonstrations

Video Presentations

PCA in Clojure with Neanderthal
2024
  • Demonstrated implementation of Principal Component Analysis using Clojure's Neanderthal library
  • Covered mathematical foundations, optimization techniques, and practical applications
  • Showcased performance comparisons with Python's scikit-learn implementation
MLOps and Topological Analysis for Brain Tumor Detection
2024
  • Presented novel approach combining topological data analysis with deep learning for tumor detection
  • Demonstrated MLOps pipeline implementation using DVC and GitHub Actions
  • Achieved 92% accuracy in tumor classification using ensemble approach
Mall Customer Cluster Analysis
2021
  • Analyzed customer segmentation using K-means and hierarchical clustering
  • Demonstrated feature engineering techniques for demographic data
  • Identified 4 distinct customer segments with actionable insights
Regression Analysis: State Spending on Education
2021
  • Presented multivariate regression analysis of education funding across 50 states
  • Demonstrated model selection and validation techniques
  • Identified key predictors explaining 85% of funding variance

Recent Publications

Forecasting Crime Trends in Toledo, Ohio: A Prophet-Based Modeling Approach

Academy of Criminal Justice Science 62nd Annual Meeting · March 2025

Brain Tumor Detection with Topological Data Analysis and MLOps

Technical Blog Publication · 2024

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