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Welcome to my portfolio
My name is Dave (Ru Han)

01 Introduction

I am a recent graduate with a BS in Statistics, Data Science track, from the University of California, Davis. I have 2 years of experience with Data Science and Machine Learning. My goal is to continually create and optimize sophisticated projects catered to realistic business problems.

 Like any other field, my work presents challenges, but the possibility of breaking limitations and seeing my impact keeps me going. 

MY TOOLKIT
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TOOLKIT
PORTFOLIO

02 PROJECTS

MY WORK COLLECTIONS

Click "WEB APP" for the interactive interface, "GITHUB" for the code and notebooks.

SP500 Stock Clustering Using Wasserstein Distance (Group Project for STA141C)
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Airport Traffic Forecasting (San Francisco)
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COVID-19 Deaths, Vaccination, & Unemployment Analysis (GROUP PROJECT for STA141B) 

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Web Scraping and Data Analysis for Davis Businesses

(Scraped data from Yelp.com and made a report catered to restaurants in the Davis college town)

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Customer Segmentation Using K-Means Clustering Algorithm

(Unsupervised Learning for an Automobile Company Marketing Strategy)

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03 Courses & Skills

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Multivariable Calculus
(MAT 21 C)

Applied Linear Algebra

(MAT167)

Vector Analysis

(MAT 21D)

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Data Science Capstone

(STA 160)

Linear Regression

(STA 108) 

Introduction to Probability Theory

(STA 131A)

Data & Web Technologies for Data Analysis

(STA 141B)

Fundamentals of Statistical Data Science: R Studio

(STA 141A)

Machine Learning 

(ECS 171)

Algorithm Design and Analysis 

(ECS 122A)

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My skillset: 

1. Machine Learning (both Supervised and Unsupervised Learning; Regression and Classification)

2. Business Intelligence Analysis 

3. Data Visualization

4. Web Scraping 

5. Database (MySQL, Postgres SQL) [Currently developing]

6. MLOPS (AWS) [Currently developing]

7. PySpark, Docker & Big Data Technologies [currently developing]

Courses
CONTACT
CONTACT

© 2022-2024 by Ru Han Wang, hosted at wix.com

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