Name: Nataliia Shevchenko
Type: User
Bio: Data analyst with a Master's degree in Physics and Economics, offering over 20 years of experience in storytelling, journalism, and business intelligence.
Location: New York City, NY, USA
Blog: https://tvgalleryproject.z13.web.core.windows.net/main_eng.html
Nataliia Shevchenko's Projects
This project involves creating visualizations using JavaScript and Plotly
This project is an ETL (Extract, Transform, Load) pipeline for a crowdfunding dataset. The purpose of the project is to extract data from various sources, transform it into a usable format, and load it into a database for analysis.
The Earthquake and Tectonic Plates Visualization project offers an interactive web-based application that maps real-time earthquake data and tectonic plate boundaries, sourced from the United States Geological Survey (USGS), to enhance understanding of seismic activities and their geological context.
Working with MongoDB
The source code and analysis for a project related to PyCity Schools
The Mouse Study Analysis project explores a comprehensive dataset from a scientific study involving mice and various drug regimens.
The goal of this project is to get valuable insights from COVID-19 data for business. There is a company, which produces face masks and wanted to expand their market share The company plans a proper marketing campaign, and data analysts need to turn data into actionable insights for this goal.
Retail Analytics in Shopping Malls
Working with PostgreSQL: creating schema, loading data and performing analytics
The Hawaii Climate Analysis Project offers an exploration of Hawaii's weather patterns through a Jupyter Notebook for interactive climate data visualization and a Flask-based API, providing easy access to historical precipitation, temperature trends, and weather station information, making it an invaluable resource for researchers.
Yearly stock analytics using Excel and VBA
The Weather Analysis and Hotel Search project aims to provide travelers with valuable insights into ideal travel destinations based on specified weather conditions.