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Jcardenas34/README.md

Hi there 👋

My name is Dr. Juan Cardenas, I received my PhD in High Energy Particle Physics at the University of Texas Arlington, where my dissertation work specialized in data analysis, deep learning development, machine learning, and building scalable software to search for elementary particles in the ATLAS experiment at CERN. I have a proven skills in developing and optimizing computational tools, leading research teams, and driving innovative solutions to data-driven challenges. I am skilled in Python, Tensorflow, Keras, AI Engineering, Langchain, Bash, Linux, C++, Batch Management Systems, Cluster Building, PostgreSQL, Redis, Teaching, Public Speaking, Scientific Communication, Team Leading, Pandas, Git, VSCode, Statistical Analysis and much more

I am open to work as an AI Engineer, Data Scientist, Machine Learning Engineer, Physicist, Software Developer, in Robotics related fields, or any other related position that requires solving interesting problems that can positively impact the world.

I am open to in person or hybrid positions in the greater Los Angeles area, and to remote positions anywhere within the United States or internationally.

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  1. telematics_insurance_model telematics_insurance_model Public

    This repo shows the development of a fully developed fair pricing auto insurance model using artificial intelligence to factor in driving habits into customer insurance pricing.

    Jupyter Notebook

  2. fraud_detection fraud_detection Public

    A presentation of the statistical analysis on open source Credit/Debit card transaction data for fraud detection using Z-Scores and ML Methods.

    Jupyter Notebook

  3. Predicting_Failure_NASA_Turbofan_Jet_Engine Predicting_Failure_NASA_Turbofan_Jet_Engine Public

    I perform a statistical analysis on engine monitoring system data to predict and prevent catastrophic failure of a NASA turbofan jet engine

    Jupyter Notebook

  4. data_and_ai_intern_2025 data_and_ai_intern_2025 Public

    Forked from Cisive-Application-Development/data_and_ai_intern_2025

    This is a public repository for the 2025 Data and AI internship interview project

    Jupyter Notebook

  5. infectious_disease infectious_disease Public

    I perform analysis of an open source data set by the state of California to identify the most prevalent disease affecting Californians between the years of 2001 and 2023. And use this to draw insig…

    Jupyter Notebook