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JersonGB22/readme.md

Hello there! My name is Jerson Gimenes Beltrán 👋

About Me

Data Scientist specializing in Deep Learning and TensorFlow, with experience in developing AI models and projects.

Academic Background

  • Data Science Bootcamp at Henry: Developed comprehensive projects with a focus on real-world applications, honing skills in statistical analysis, machine learning, data visualization, and data engineering practices.
  • Environmental Engineering at UPCH: Focused on gaining a strong foundation in mathematics and statistics while pursuing a dual educational path alongside Data Science.

Mission and Purpose

My mission is to leverage data to drive meaningful insights and create value for businesses and society.

Technologies

Python TensorFlow PyTorch Hugging Face Scikit-learn

Power BI Apache Spark MySQL AWS

Git GitHub Git LFS

Streamlit Plotly FastAPI Render

Contact

Gmail

LinkedIn

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  1. NaturalLanguageProcessing NaturalLanguageProcessing Public

    Links to my repositories, where I implement a wide variety of Natural Language Processing models using TensorFlow and Hugging Face.

  2. GenerativeDeepLearning GenerativeDeepLearning Public

    Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.

  3. ComputerVision ComputerVision Public

    Links to my repositories with a wide variety of Computer Vision models using CNNs, Transfer Learning, and Vision Transformer with TensorFlow, Hugging Face and Ultralytics.

  4. DataScience_IBM_StockPredictionLSTM_Project DataScience_IBM_StockPredictionLSTM_Project Public

    In the IBM Advanced Data Science specialization, an interactive real-time web application was developed using LSTM networks in TensorFlow to predict stock market trends for global companies.

    Jupyter Notebook 1

  5. HolyGrace/SistemaAlertaSismica HolyGrace/SistemaAlertaSismica Public

    Web-based Earthquake Alert System: Real-time seismic classification using ML. AWS-hosted data from USGS, IGP, and INDECI. SMS/WhatsApp alerts, interactive gravity maps, and Power BI reports.

    Jupyter Notebook 1

  6. DataScience_MLOps_MovieRecommendations_Project DataScience_MLOps_MovieRecommendations_Project Public

    Simulating a Data Scientist's role in a startup aggregating streaming platforms. Building movie queries and ML-based recommendation system with MLOps focus. ML model web app deployed with Render.

    Jupyter Notebook 1