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DaverArenas/README.md

Hello there 👋 I'm Daverson Arenas

🔭 I’m a Data and ML Engineer from Medellin, Colombia. I'm currently working as a contractor for a leading telecommunications company in the USA, where I specialize in leveraging AWS services to develop cutting-edge big data solutions and data-driven applications.

🚀 I'm passionate about harnessing the power of data to drive business insights and innovation. My expertise lies in utilizing technologies such as Spark and Python to design and implement robust data pipelines, machine learning models, and analytical tools.

📫 I invite you to know more about my professional background in my online portfolio: https://main.d1vdi5khuw1t0z.amplifyapp.com/

🌟 Here's a glimpse of my skills and areas of focus:

  • Data Engineering: Proficient in designing and optimizing data pipelines, ETL processes, and data warehousing solutions, ensuring data reliability and scalability.
  • Machine Learning: Experienced in building predictive models, natural language processing applications, and recommendation systems to extract valuable insights from data.
  • AWS: Adept at utilizing a wide range of AWS services such as S3, EC2, Glue, Redshift, and SageMaker to architect and deploy cloud-based data solutions.
  • Spark: Highly skilled in Apache Spark for distributed data processing, enabling efficient handling of large-scale datasets.
  • Python: Avid Python programmer, leveraging its versatility to create data-driven applications and conduct in-depth data analysis.
  • Data Visualization: Proficient in data visualization tools like Matplotlib, Seaborn, and Tableau to effectively communicate insights and trends.
  • Streaming: Currently expanding my skillset by learning streaming technologies with Scala and Java, with a focus on real-time data processing.
  • MLOps: Interested in the operational aspects of deploying machine learning models. Actively learning Docker and Kubernetes to streamline model deployment and management.

🤖 I'm constantly seeking opportunities to collaborate on challenging projects, share knowledge, and stay updated on the latest advancements in the data and machine learning field. Let's connect and explore how we can drive innovation through data together! 📈🔍

🌱 I’m learning Ray framework for scaling AI and Python applications like machine learning ⚡ Fun fact: I am a Mechanical Engineer with a diverse background in engineering, and along my journey, I unexpectedly found myself captivated by the world of data and cloud computing technologies

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  1. factored-datathon-2023-PaisaGenious factored-datathon-2023-PaisaGenious Public

    innovative data solution to empower businesses with insights from amazon product reviews

    Python 1 2

  2. delta-live-tables-notebooks delta-live-tables-notebooks Public

    Forked from databricks/delta-live-tables-notebooks

    streaming data using databricks DLT and change data capture from mysql

    Python

  3. mastering-emr mastering-emr Public

    Forked from itversity/mastering-emr

    GitHub repository related to the course Mastering Elastic Map Reduce for Data Engineers

    Jupyter Notebook

  4. Databricks-Data-Engineer-Associate Databricks-Data-Engineer-Associate Public

    Databricks training: includes the Associate-level modules of the Data Engineer Learning Path

    Python

  5. BigData-Integration BigData-Integration Public

    Integration of data using python from different on-premise sources to create a datalake on cloud plataform

    Jupyter Notebook

  6. StockExchange_Predictions StockExchange_Predictions Public

    trabajo final especialización EIA

    Jupyter Notebook