General Intro to Projects and Me

This respositary is the collection of all machine learning projects that I have done so far.

Authors

• @EricaDataAnalyst

🚀 About Me

Summary:

A proactive Business Analyst with 3 years’ work and education experience in analyzing, visualizing and storytelling Data under Business settings.

Current Position

Working as a Data Quality Intern under Data Enigneer team: providing ad hoc data report to business departments and data science team.

Education:

MS in Business Analytics + BS in Finance, minor Computer Information System;

MBTI:

INTP/ENTP;

Interested Industry:

Healthcare, Media & Advertisement, Retail, Real Estate, Research.

Other Common Github Profile Sections

👩‍💻 I'm currently looking for full time position of Business Intelligence Analyst/ Business Analyst/ Marketing Analyst;

🧠 I'm currently learning more and working on projects building ETL pipelines;

📫 How to reach me: ericaw_23@wfu.alumni.edu, or find me in My LinkedIn

⚡️ Fun fact: Huge fan of Boston Dine Out Week!!!!!

🛠 Skills & Related Projects from Scratch

Javascript + HTML+ CSS: Web Design

• Interactive Feedback Collection Page
• Animal Obesity and Treatment (With top menu bar)
• Roll Dice Game& Write Poem (User Interactive Inputs)
• Interactive Calculation Game

R:

Predicting:

• Boston Housing Price Prediction (Linear Regression, Random Forest Tuning, XGBoosting)

• Donor Segmentation and Probability of Outstanding Projects (K-means Clusters, Logistic Regression, Decision Tree)

• Bank Fraud Detection (Logistic Regression)

• Loan Default (Logistic Regression, XGBoosting, Best& Worst Prediction Comparison)

• Detect Global & Local Anomaly in Loan Default

• Mobile Phone Plan Customer Churn (KNN)

• Retail Chain Grocery Market (Cluster,LogisticRegression,RandomForest)

• University Enrollment (Logistic Regression)

Forecasting:

• Wind Turbine Energy Daily Forecasting (ADF test, Seasonal Exponenetial Smoothing, Arima with Selected Explanatory Variables, Auto Arima)