Alicia C Escontrela

Wrapping on with #dezoomcamp by @DataTalksClub . This week I completed the streaming project. This was a tricky one, definitely I need to review it again. Next week I'll start with the capstone project

This week I completed a workshop for Piperider hosted by @DataTalksClub , as part of #dezoomcamp

This week in #dezoomcamp BY @DataTalksClub was about DW. I was able to review differences and best practices in BigQuery, such as using partitioning and clustering. Also, created a data pipeline that download the gz files, convert them into parquet and load them in GCS

This week in #dezoomcamp I've been learning how to use Prefect for workflow orchestration ✅ Load data into a GSC ✅ Run a deployment manually and scheduling ✅ Load data to BigQuery ✅ Run Prefect in a Docker container ✅ Enable notifications Thanks @DataTalksClub

I started again #dezoomcamp by @DataTalksClub and this week I was able to learn about how to ✅ Set up a VM instance ✅ Install Docker ✅ Run Postgres and PgAdmin using docker compose ✅ Ingest data to Postgres github.com/aliescont/de-z…

I found an old collection of my tweets put together in a notion doc Topics: 🔸 Processes 🔸 ML Engineering 🔸 MLOps 🔸 Data science 🔸 Data engineering 🔸 Tools 🔸 Math 🔸 Learning ML And other things 100+ tweets in total Retweet and I'll DM it to you

Day 100 of #100DaysOfDeFI Can't believe I completed the challenge! 🎉 I have summarized all I learned in a 100+ page doc so you can start with Solidity, blockchain and DeFI too! 🔖 Resources 🐍 Tutorials 👩🏻‍💻 Code 😊 Fun I'll send it to you via DM in exchange for an RT+follow.

Finished week2 of @DataTalksClub MLOPS Zoomcamp. This week I learned how to use MLflow for experiment tracking github.com/aliescont/mlop…

Back to study 🤓 I got started with MLOPS-Zoomcamp github.com/aliescont/mlop…

Day 59-66 R2 #66daysofdata this last week I was reviewing some old code to refactor, reviewing OOP in Python and continued reading SQL for Data Scientist. This round was kind of different, it wasn't as expected, but I learned and had fun and finally got a job as Data Analyst

Day 56-58 R2 #66daysofdata this weekend was about updating a little bit, I played around a bit with a colab notebook for art generation and watched some videos about analog technology for ML. I found this video really interesting youtu.be/GVsUOuSjvcg

Day 55 R2 #66daysofdata I took a break, I was tired between work and interviews. Today back to SQL, reading basic concepts in this book focus on SQL for EDA and building datasets for ML

Day 54 R2 #66daysofdata today I was playing around with MongoDB using Python ✅ Find documents based on criteria using operators ✅ Count documents ✅ Used dot notation

Day 51-53 R2 #66daysofdata I was busy in the last few days but managed to do a little each day ✅ Started to study AWS fundamentals ✅ Watched videos about DBT ✅ Reviewed ETL vs ELT

Day 50 R2 #66daysofdata today I was reviewing some old code for an ETL pipeline to load the data in a Data Lake in AWS and reviewing some basics of Pyspark

Day 49 R2 #66daysofdata today I went to a in person workshop about Airflow, the first one in a long time. Some things didn't work as expected, but it was fun!

Day 48 R2 #66daysofdata reviewing some basic concepts of working in shell I found this book that seems really interesting Data Science at the Command Line

Day 41-47 R2 #66daysofdata Last week was working on a classification mini project using Logistic Regression and Adaboost algorithm and keep practicing SQL and Python basics

Day 40 R2 #66daysofdata tweaking a little bit my model, playing around with feature selection to improve my score. I'm dealing with an unbalanced dataset, so I'll need to do more tests