Name: EunJeong Heo
Type: User
Company: HelloFresh
Bio: I am a graduate student at OSU studying Business Analytics. I'm, working with Python, VBA, SQL, CSS, HTML, Tableau, and MS office.
Location: NYC
Blog: https://www.linkedin.com/in/eunjeongheo/
EunJeong Heo's Projects
Profile README for DenverCoder1
ETL process -- Extract: original data sources and how the data was formatted, Transform: what data cleaning or transformation was required, Load: the final database, tables/collections, and why this was chosen.
This is my excel analysis for USC Data Analytics Bootcamp
Config files for my GitHub profile.
This is a Python-Matplotlib challenge that I applied to a real-world pharmaceuticals case and dataset.
The nutrition project used ARIMA and Auto Regression model with python to predict the client's diet pattern and found positive and negative correlations between intake variables which have less than 0.05 p-value.
This is a project to predict useful reviews on Yelp using Natural Language Processing with Python and RapidMiner
In this project I used VBA scripting to analyze real stock market data.
This is a python pandas data analysis project to generate a report that breaks down the game's purchasing data into meaningful insights.
This is a data visualization project using Python Flask, MongoDB, JavaScript, HTML and CSS.
This project used pandas, numpy, matplotlib.pyplot, seaborn, nltk and WordCloud python libraries to analyze "What is the special feature of popular videos?"
This a project that explains how I used SQL and ERD for a database design
This is an HR database management challenge using pgAdmin, Postgresql, and python - pandas, sqlAlchemy and Matplotlib.
This is a sqlAlchemy challenge to do basic climate analysis and data exploration of your climate database using python, SQLAlchemy, SQLAlchemy ORM queries, Pandas, and Matplotlib.
Starbucks project shows how I utilized the ETL process using python pandas and matplotlib.
This project is about exploring and visualizing data in business analytics projects exploring and wrangling data with Python to discover "Which factors lead to a successful movie?"
In this project I used VBA scripting to analyze real stock market data.
This is a project that explains how I used NodeXL and VRP solver for a Supply Chain Distribution Analysis.
This is a Web_Visualization_Dashboard challenge using HTML and CSS to create a dashboard showing off the analysis we've done.
This is a web scrapping challenge for building a web application that scrapes various websites for data related to the Mission to Mars and displays the information on a single HTML page.