Skip to content
View Lacerdash's full-sized avatar
9 followers · 4 following

Achievements

Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: Quickdraw

Block or report Lacerdash

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.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
Lacerdash/README.md

Hi there! I'm Fernando 👋

I'm an Analytics Engineer at PayFit. I work on data pipelines, dbt, and BI — turning raw data into something people can actually trust and use.

🔭 What I'm working on

  • Building a personal dbt + Airbyte data pipeline (private repo) — a self-hosted Airbyte instance ingesting into Postgres, transformed and tested with dbt
  • Riot API Extraction Guide — extracting League of Legends match data from scratch with Python, requests, and pandas

🖥️ Tech I work with

Snowflake dbt Python Airbyte Looker Power BI

🔗 Connect with me

Pinned repos

League-of-Legends-API-Data-Extraction

Pinned Loading

  1. Nested-Cross-Validation Nested-Cross-Validation Public

    Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation

    Jupyter Notebook 2

  2. Machine-Learning-with-PySpark Machine-Learning-with-PySpark Public

    Machine Learning project using PySpark, for classification and recommendation model of Real Estate.

    Jupyter Notebook 1

  3. Extracting-League-of-Legends-data-with-Riot-Api Extracting-League-of-Legends-data-with-Riot-Api Public

    This repository contains notebooks developed to help people use the Riot Api to generate their unique DataFrame.

    Jupyter Notebook 11

  4. Hypothesis-Testing-Confidence-Interval Hypothesis-Testing-Confidence-Interval Public

    Testing hypothesis and building Confidence Intervals

    Jupyter Notebook 2

  5. Alura_Challenge_Data_Science Alura_Challenge_Data_Science Public

    Challenge de Data Science desenvolvido pela Alura, para montar um conjunto de análises e modelos de machine learning supervisionado para auxiliar o time de vendas da empresa Alura Voz a fidelizar c…

    Jupyter Notebook 3 1