Data Engineering
A data project always start with a data engineering step. You need to harvest data and store it in an adequate format to be able to use it. Let me help you with it !
I can help you to:
Harvest data from various sources, including APIs, SQL databases, or complex Excel spreadsheets.
Reformat and reshape data to facilitate further analysis.
Clean datasets to remove outliers and aberrant data points.
Develop reproducible data preparation workflows.
Automate the creation of data-related reports.
Examples:
Led development and launch of a collaborative project with EPFL, transitioning scripts into a Software as a Service (SaaS) solution on AWS.
Provided technical consulting to a startup, translating academic research into actionable solutions and advising on machine learning.
Collaborated across departments to design and deploy data platform initiatives, implementing automation for time savings.
Contact Me
If you’re interested in learning more about how I can assist with your project, feel free to reach out at david.munoztord@mailbox.org.