Skip to content
View thecodemancer's full-sized avatar
😎
Let's talk!
😎
Let's talk!

Block or report thecodemancer

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
thecodemancer/README.md

Who am I?

👨‍💼 Founder of Data Engineering Latam community, the largest, fastest-growing, and coolest data community in Latin America.

🔭 I’m currently working as a VP of Engineering at a Stealth Startup

👨‍💻 Roles I'm interested in:

  • Advisor
  • Chief Technology (CTO)
  • Chief Data Officer (CDO),
  • Chief Data and Analytics (CDAO)
  • Project Manager
  • Data Architect
  • Technical Leader
  • Data Scientist
  • Data Engineer

💬 Ask me about mentorships on Artificial Intelligence and Data Engineering: https://topmate.io/davidregalado

📫 How to reach me: https://www.linkedin.com/in/davidregaladodataengineer/

David Regalado's GitHub stats

Connect with me:

thecodemancer_ davidregaladodataengineer thecodemancer_ @davidregalado255 @thecodemancer davidregalado255

Accomplishments

⭐ I taught Python for Data Science in the University of Chicago.

⭐ Recognized as Champion Innovator by Google Cloud

⭐ I was inducted into the Google Cloud/Qwiklabs Hall of Fame (again)

⭐ I was inducted into the Google Cloud/Qwiklabs Hall of Fame

⭐ I reached the Olympus of Google Cloud Certified Cloud Consultants (UPDATE: The website was migrated to Credly

⭐ The only Latino who presented a workshop at Google Developer Groups UK & Ireland

⭐ The only Latino interviewed in the largest community in India (Machine Learning India)

⭐ The only Latino who presented a workshop at the Big Data Conference Europe 2020

Inverviews & Workshops

🗣️ Big Data Conference Europe 2023: A Gentle Introduction to Apache Beam

🗣️ Astana Hub / Google for Startups in Central Asia: a talk about #artificialintelligence to 15 startups from Central Asia at Silkway Accelerator

🗣️ Datamin: Interview with David Regalado, Founder at Data Engineering Latam: “Data quality is not sexy, but it’s the foundation”

🗣️ Universidad Argentina de la Empresa (UADE): The Pitch I - 2023

🗣️ AwesomeFest 2022: Infrastructure as Code

🗣️ AwesomeFest 2021: Is still Data Science the sexiest job of the decade?

🗣️ DevFest 2021 UK & Ireland: Predict Bike Trip Duration with a Regression Model in BQML

🗣️ Eneisoft - UNMSM: Build and ETL using your own Spotify data!

🗣️ Member of a board of speakers: Ask the passionate lifetime learner Thom Ives anything about data science

🗣️ Machine Learning India: Talk Data to Me

🗣️ AI TIME JOURNAL: Transitioning to a Career in Data Science with David Regalado

🗣️ Universidad Argentina de la Empresa (UADE): The Pitch II - 2021

🗣️ Universidad Argentina de la Empresa (UADE): The Pitch I - 2021

🗣️ Big Data Conference Europe 2020: Google Cloud Platform: The “What”, “Where” and “How”

🗣️ Data Science Research Perú: Beyond the Datalake

🗣️ Data Science Woman: Darkside of Scrum

🗣️ Data Science Woman: Masterclass in SQL

🗣️ Data Science Woman: Where do we go with the Big Data usage? AWS & GCP

Publications

📋 Cassie Kozyrkov's Medium: Analítica no es narrar historias

📋 Cassie Kozyrkov's Medium: ¿Qué hace que un analista de datos sea excelente?

📋 Medium: What the heck is DevOps and why does it matters?

📋 Medium: ¿Qué rayos es DevOps y por qué debe importarte?

📋 Medium: The Dark Side of Scrum

📋 Medium: El Lado Oscuro de Scrum

📋 Medium: This advice will help you prepare for the Google Cloud Certified Associate Cloud Engineer exam

📋 Medium: Este consejo te ayudará a prepararte para el examen de certificación Google Cloud Associate Cloud Engineer

📋 Medium: 7 Reasons why you should follow me (a.k.a. my about++ page)

📋 Medium: 7 Razones por las que deberías seguirme (también conocido como mi página about++ )

📋 Medium: 20 nerdy jokes to tell your friends

📋 Medium: 20 chistes bien nerds para contarles a tus amigos

📋 Medium: How difficult is the Google Cloud Data Engineering Exam?

📋 Medium: ¿Qué tan dificil es el Examen Google Cloud Data Engineering?

📋 Medium: WTF is a Data Lakehouse?

📋 Medium: ¿Qué Rayos es un Data Lakehouse?

📋 R Pubs: Reading Memes

📋 R Pubs: U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database analysiS

📋 R Pubs: COVID19

Experience

🏭 More than 15 years of work experience in banking, telecommunications, credit risk centers, and advertising agencies.

👨‍💼 I led a team of 20 people in 3 different occasions.

👨‍🏫 I taught Python for Data Science in the University of Chicago.

👨‍💻 Experience working with large volumes of structured and unstructured data (Big Data) with Spark and in the Cloud.

🎤 Recurrent speaker and jury in Big Data and Cloud Computing events.

Studies

🎓 Systems Engineer from the Technological University of Peru (UTP), tenth superior.

🎓 With a specialization in Data Science from Johns Hopkins University.

🎓 With a specialization in Data Warehousing for Business Intelligence from Colorado University.

🎓 With a specialization in Data Science and Big Data Analytics from MIT.

🎓 With a specialization in Artificial Intelligence from UBA-IALAB

🎓 With 15 specializations in Google Cloud Platform from Google Cloud Training on Coursera.

🎓 With 50 qwiklabs badges.

📚 Global Alumni member with the role of Teaching Assistant.

📚 With studies in Creative Thinking at Imperial College London.

📚 With studies in Cognitive Technologies at Deloitte University Press.

Certifications

🥇 Certified as Scrum Master by scrum.org.

🥇 Certified in Google Cloud Platform by Google.

🥇 Certified in Python by the Python Institute.

🥇 Certified in R language programming.

Blog posts

Other areas of interest

🗣️ Topics: Neuro-Linguistic Programming, Emotional Intelligence, Creative Thinking, Upskilling, Mentoring, Public Speaking, Storytelling.

About Data Engineering Latam 🌎

Data Engineering Latam is the largest, fastest-growing, and coolest data community in Latin America whose mission is to promote the region's talent through the dissemination of talks, workshops, study groups, collaborative help, and the creation of relevant content.

👉 Web

🎤 Do you want to give talks to the community? Tell us about it

Pinned Loading

  1. Airflow-Data-Orchestration-between-AWS-and-GCP Airflow-Data-Orchestration-between-AWS-and-GCP Public

    An AirFlow Dag that moves S3 Bucket Files to Google Cloud Storage. Keeping the same folder partitioning and file formats.

    Python 1

  2. Streaming-Data-Pipeline-for-a-Real-Time-Dashboard-with-Dataflow Streaming-Data-Pipeline-for-a-Real-Time-Dashboard-with-Dataflow Public

    You own a fleet of New York City taxi cabs and are looking to monitor how well your business is doing in real-time. You build a streaming data pipeline to capture taxi revenue, passenger count, rid…

    Jupyter Notebook 1

  3. Food-Classification-Model Food-Classification-Model Public

    This model is trained to recognize 2023 food dishes from images.

    Jupyter Notebook 1 1

  4. Prediction-Model-for-Loan-applications Prediction-Model-for-Loan-applications Public

    This is a binary classification problem where we have information about a sample of applicants and we need to predict whether or not to grant a loan based on that data.

    Jupyter Notebook

  5. Prediction-Model-for-the-duration-of-taxi-trips-in-NYC Prediction-Model-for-the-duration-of-taxi-trips-in-NYC Public

    This project uses Machine Learning to predict duration of taxi trips in NYC.

    Jupyter Notebook

  6. BIMarathon2021 BIMarathon2021 Public

    Goal: Analyze the most popular songs and genres on the Spotify through release year and by the following cutoffs: duration, explicit content, artist, danceability, energy, key, loudness, mode, spee…

    Jupyter Notebook 1