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gersongerardcruz/README.md

Image by pikisuperstar

Hi 👋🏼, I'm Gerson Cruz

I'm a self-driven and proactive Electronics Engineering graduate with two years of experience in AI and Data Analytics. I'm aiming to become a professional analyst, engineer, or researcher in the fields of AI, Data, Cloud Computing, and IoT. I see the tremendous value these fields offer and I intend to become a part of it.

  • 🌱 I’m currently doing projects on End-to-End ML using AWS Cloud Services

  • 💬 Ask me about AI, Data Analytics, and IoT

  • 📫 Reach me via ggerardcruz@gmail.com

Education and Experience

Selected Projects

Publications

Languages and Tools:

arduino aws cplusplus docker figma flask git html5 kubernetes matlab mysql opencv pandas python pytorch scikit_learn seaborn tensorflow bigquery visual studio code numpy julia latex matplotlib google data studio g suite tinkercad jupyter conda plotly ggplot keras scipy scilab fastapi jenkins firebase streamlit sqlite mlflow

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  1. extractive_and_abstractive_text_summarization extractive_and_abstractive_text_summarization Public

    A combination of extractive and abstractive text summarization for summarizing long scientific texts

    Jupyter Notebook 9 1

  2. normalized_crosscorrelation normalized_crosscorrelation Public

    Signals, Spectra, and Signal Processing Lecture Project. This algorithm calculates the normalized cross correlation between two signal files.

    C++ 1 1

  3. discrete_fourier_transforms discrete_fourier_transforms Public

    Signals, Spectra, and Signal Processing Project. This algorithm calculates the discrete fourier transform for a signal file based on a chosen frequency and displays it either in a Real-Imaginary fo…

    C++

  4. julia_root_finding julia_root_finding Public

    Numerical Methods Project. This notebook is written using Julia and contains different methods of finding the roots of a function.

    Jupyter Notebook

  5. ode_modelling_dynamics_of_love ode_modelling_dynamics_of_love Public

    Numerical Methods Project. This notebook creates an algorithm using the Runge–Kutta–Fehlberg Adaptive Step Size Method to solve for Ordinary Differential Equations. In this notebook, the dynamics o…

    Jupyter Notebook

  6. regression_analysis_on_house_pricing regression_analysis_on_house_pricing Public

    This repository contains a jupyter notebook focusing on Kaggle's House Pricing Dataset. Exploratory Data Analysis, Data Preprocessing, and Modelling was performed using Pandas, Numpy, Seaborn, and …

    Jupyter Notebook