Hector Andres Mejia Vallejo – Medium

Hector Andres Mejia Vallejo

Hector Andres Mejia Vallejo

A bit about linear models and regularizers

Home-brewed machine learning model series

14 min readAug 23, 2023

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A bit about linear models and regularizers

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Hector Andres Mejia Vallejo
in
Towards Data Science

Too Many Features? Let’s Look at Principal Component Analysis

Home-brewed machine learning model series

13 min readJun 24, 2023

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Too Many Features? Let’s Look at Principal Component Analysis

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Hector Andres Mejia Vallejo

Data Warehouse or Data lakehouse?

The platform you need for your analytics apps

5 min readSep 22, 2022

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Data Warehouse or Data lakehouse?

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Hector Andres Mejia Vallejo
in
Towards Data Science

Process On-Demand Data without Idle Databricks Clusters

Adding cloud functions before your workflow for a cost-effective solution

8 min readAug 18, 2022

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Process On-Demand Data without Idle Databricks Clusters

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Hector Andres Mejia Vallejo

Building a real-time dashboard for your IoT data

Using Azure IoT Hub, IoT Edge, Machine Learning, and Bokeh

6 min readJun 15, 2022

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Building a real-time dashboard for your IoT data

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Hector Andres Mejia Vallejo

Use these methods to orchestrate your pipelines

Build better workflows and ensure data quality in Databricks

4 min readMay 31, 2022

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Use these methods to orchestrate your pipelines

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Hector Andres Mejia Vallejo

Learnings from my first two years in the tech industry

Experiences from a Latin America data engineer

8 min readMay 1, 2022

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Learnings from my first two years in the tech industry

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Hector Andres Mejia Vallejo

Scalable self-hosted runner system for GitHub actions

An updated step-by-step guide on how to deploy a system capable of creating self-hosted runners on demand!

12 min readMar 30, 2022

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Scalable self-hosted runner system for GitHub actions

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Hector Andres Mejia Vallejo

Save time by building a continuous training pipeline for ML. Part 1

Automate ML training on Databricks using MLflow and GitHub actions

6 min readJan 28, 2022

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Save time by building a continuous training pipeline for ML. Part 1

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Hector Andres Mejia Vallejo
in
Towards Data Science

Start managing your models’ lifecycles better

An MLOps review with MLflow and Delta Lake on Databricks

7 min readSep 10, 2021

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Start managing your models’ lifecycles better

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Hector Andres Mejia Vallejo

Hector Andres Mejia Vallejo

Ecuadorian. Studied CS, now working as a data engineer and doing a masters in data science. Passionate for AI and discovering stories in the data!

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