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gersongerardcruz/README.md

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Hi 👋🏼, I'm Gerson Cruz

I'm a Data Analyst, Machine Learning Engineer, and a Certified Cloud Solutions Architect currently pursuing my MSc with specializations in Computer Science, Sustainable Computing, and Complex Systems Engineering. I'm a proud Erasmus Mundus scholar under the Green Networking and Cloud Computing program, learning and thriving with people across 17 nationalities. 🌎

I'm craving for purpose, a way to make every line of code, every solution I build, and every thing I put my effort into contribute to something bigger. To achieve this, I'm looking for roles as Cloud Engineer, Solutions Architect, Machine Learning Engineer, or Data Analyst/Scientist. 🧑‍💻

  • 💬 Ask me about AI, Data Analytics, and Cloud Engineering

  • 🤔 I'm working on projects using AWS Cloud Services and learning new languages on the side

  • 📫 Reach me via [email protected] especially about projects you'll find in my LinkedIn and CV. I have to finish my masters because I can officially publish them in Github but I'm more than willing to talk about them if you are interested. 💡

Education and Experience

Selected Projects

Publications

Skills:

Python SQL C++ Java Julia JavaScript React Node.js Next.js MATLAB LaTeX Bash

Cloud and DevOps

AWS EC2 S3 VPC CloudWatch EKS Elasticache File Gateway CloudFront ECS IoT Core Kinesis Google Cloud Terraform Jenkins Docker Kubernetes Git

Data Science and Machine Learning

PyTorch TensorFlow Keras Scikit-learn MLflow AutoKeras H2O FLAML AutoGluon TPOT Pandas NumPy OpenCV Google Data Studio Holistics Streamlit Tableau Power BI Matplotlib Seaborn Anaconda

Big Data and Databases

Redis MongoDB Google BigQuery Neo4j Apache Airflow

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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. 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

  4. customer_segmentation customer_segmentation Public

    This classification model, deployed via Streamlit, is trained to predict whether a customer belongs to one of four segments based on eight features.

    Jupyter Notebook 4 1

  5. temperature_forecasting_airflow_automation temperature_forecasting_airflow_automation Public

    This is an end-to-end temperature forecasting pipeline with API data collection automated with Apache Airflow, AWS EC2, AWS S3, and Python

    Python 4 2

  6. animal_face_classification animal_face_classification Public

    This is an end-to-end animal face classification model with Keras, KerasTuner, Mlflow, SQLite, Streamlit, and FastAPI which can classify animal faces as either cat, dog or wildlife

    Python 2 1