Skip to content
View yurisugano's full-sized avatar
Block or Report

Block or report yurisugano

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yurisugano/README.md

πŸ“Œ Introduction:

Hello! I am a data scientist with a foundation set at the crossroads of data, programming, and the workings of the brain. My academic journey began at the University of Chicago and evolved into a rich blend of theoretical statistics and robust data analysis. My passion for curiosity is always matched with rigorous statistical integrity.

Throughout my career, I've spearheaded data analysis from start to finish, played pivotal roles in project developments, and been an active mentor and leader within my teams. My repositories reflect this journey, covering a spectrum of projects spanning animal behavior, human psychophysics, natural language processing, to web scraping. Here, I employ rigorous statistical analysis combined with state-of-the-art machine learning tools to provide clear, interpretable results.

Connect with me on LinkedIn


πŸš€ ProprioSuite

  • Summary: An open-source package for proprioceptive testing paradigms.
  • Features:
    • 2D smoothing module
    • Modular statistical analysis
    • Public database for subjects
  • Technical Details: Developed in Python with two primary modules, PointingTask and WeightDiscrimination.

πŸ”— Repository


πŸš€ SensorySpeech

  • Summary: A project from the University of Chicago to analyze sensory references in natural speech.
  • Features:
    • Comprehensive Introduction to Python
    • Basic & Advanced NLP Techniques

πŸ”— Repository


πŸš€ JavaScript Web Application for Fitt's Law

  • Summary: A web application developed in JavaScript to collect data on Fitt's Law, an essential paradigm in human-computer interface.

πŸ”— Repository


πŸš€ Data Preprocessing for Cybersecurity Threat Detection

  • Summary: An efficient data processing framework that prepares large datasets from the Los Alamos National Laboratory (LANL) [Unified Host and Network Data Set], for deep learning algorithms focused on lateral movement detection in cybersecurity.
  • Features:
    • Batch processing of large files (over 35GB compressed)
    • Rust-based performance for time-efficient data processing
    • Application in real-world big data scenarios and cybersecurity

πŸ”— Repository


πŸš€ Bystander Effect in Rats

  • Summary: A unique exploration into whether rats are influenced by the actions of other rats.
  • Features:
    • Complete R script for data analysis
    • Simulated duos and trios analysis
    • Analysis and comparison across different rat groups

πŸ”— Repository


πŸš€ Dehydration Behavior in Toads 🐸

  • Summary: A portfolio showcasing behavioral patterns of invasive and native toad species in response to dehydration.
  • Features:
    • Publication-quality figures assembled in R
    • Examples ranging from basic to advanced graphing in R

πŸ”— Repository

Pinned

  1. Bystander-Effect-Rat-Analysis Bystander-Effect-Rat-Analysis Public

    Data analysis for "The Bystander Effect in Rats"

    R

  2. Data-Processing-Lateral-Movement-Detection Data-Processing-Lateral-Movement-Detection Public

    Collecting, preparing and merhing the Los Alamos National's Laboratory unified host data set and and redteam compromise events dataset to be used in a deep learning algorithm for lateral movement d…

    Rust

  3. Dehydration-Behavior-Toads-Analysis Dehydration-Behavior-Toads-Analysis Public

    The data analysis for the behavioral assay conducted in "Challenges of dehydration result in a behavioral shift in invasive toads"

    R

  4. FittsGame FittsGame Public

    This project is a simple web application designed to assess Fitt's law using a touchscreen device

    JavaScript

  5. ProprioSuite ProprioSuite Public

    Python

  6. SensorySpeech SensorySpeech Public

    Jupyter Notebook