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Hello there ๐Ÿ‘‹ I'm Daverson Arenas

๐Ÿ”ญ Iโ€™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.

๐Ÿš€ 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.

๐Ÿ“ซ I invite you to know more about my professional background in my online portfolio: https://main.d1vdi5khuw1t0z.amplifyapp.com/

๐ŸŒŸ 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.

๐Ÿค– 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! ๐Ÿ“ˆ๐Ÿ”

๐ŸŒฑ Iโ€™m learning Ray framework for scaling AI and Python applications like machine learning โšก 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

Daverson Arenas's Projects

bigdata-integration icon bigdata-integration

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

data-science-projects icon data-science-projects

Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in to discover insights and techniques in data science. Reach out for collaborations and feedback.

dataanalytics_text icon dataanalytics_text

Mineria de texto, procedamiento de lenguaje natural y Anรกlisis de sentimiento

deltaray icon deltaray

Delta reader for the Ray open-source toolkit for building ML applications

deployrockstar icon deployrockstar

Deployment of the app rockstar green using AWS codestart to set up the CICD pipeline

learn-kafka-courses icon learn-kafka-courses

Learn the basics of Apache Kafkaยฎ from leaders in the Kafka community with these video courses covering the Kafka ecosystem and hands-on exercises.

mastering-emr icon mastering-emr

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

mlops-course icon mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

pubsub icon pubsub

Pub-Sub Architecture using FastAPI and Redis

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