Skip to content
View martachesnova's full-sized avatar
7 followers · 23 following
  • Irvine, CA

Block or report martachesnova

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
martachesnova/README.md

A passionate Data Engineer with 3 years of experience in the technology and business development industry. Here you'll find some of my work which covers Data Engineering, Analysis and Data Science.

Tools and skills used:

  • Python, SQL, NoSQL, Spark, Tableau, Flask, JavaScript, HTML, CSS, Excel, VBA, and more;
  • Cloud Platforms - AWS and Azure;
  • Machine Learning & Deep Learning;
  • APIs, Web Scraping and more.

LinkedIn: click here.

Pinned Loading

  1. JavaScript-InteractiveVisualizations JavaScript-InteractiveVisualizations Public

    Created an interactive dashboard using D3.js and Plotly.js to explore the Belly Button Biodiversity dataset (JSON files), which catalogs the microbes that colonize the human navels.

    JavaScript

  2. Python-APIs Python-APIs Public

    A weather analysis that randomly selects more than 500 cities across the globe, pulls data from the OpenWeatherMap API for each city. Analysis of the weather and perfect vacation spot is viewable o…

    Jupyter Notebook

  3. SQL SQL Public

    Performing data modeling (ERD) and data engineering. Then, writing series of SQL queries to analyze Employee Database of a company.

    Jupyter Notebook

  4. Advanced-Data-Storage-and-Retrieval--SQLAlchemy-Flask Advanced-Data-Storage-and-Retrieval--SQLAlchemy-Flask Public

    Analysis of Hawaii weather using Python's libraries SQLAlchemy and Matplotlib, and to create a weather API to do a climate analysis based on the data stored in SQLite database.

    Jupyter Notebook

  5. Big-Data Big-Data Public

    Finding out whether reviews from Amazon's Vine program are trustworthy. Performed ETL process in the Cloud and uploaded a DataFrame to an RDS instance. Used PySpark and Spark SQL to perform a stati…

    Jupyter Notebook

  6. Data-Warehouse--Redshift Data-Warehouse--Redshift Public

    Built an ETL pipeline that extracts data from S3, stages it in Redshift, and transforms into a set of dimensional tables for the Analytics Team.

    Python