ChiaJo Chen

Hello! I'm Tina

I am a data analyst with 3 years of marketing trend analysis experience and critical thinking, using Microsoft Excel, Word, and PowerPoint in various business projects. I am proficient in Python, R, SQL, Tableau, and Power BI, with experience in data analysis, sales forecasting, database management, and machine learning. Besides, I am a detail-oriented person proficient in organization, arranging priorities, and managing time.

My passion for data from my experience in marketing further enhanced my determination to pursue a higher degree in Business Analytics, as I witnessed first-hand the impact of scientific analysis on the business industry. For this reason, I returned to school a year after I received my bachelor's degree at UCI to study business analysis at Paul Merage School.

This month, I earned my Master's degree in Business Analytics at the University of California, Irvine. Currently, I am a volunteer consultant for a non-profit organization and am driving impact, both for the organization and those it helps.

Now, I am on the way to achieve my career goals, looking for Data Analyst, Marketing Data Analyst, Business Analyst opportunities, and any job related to dealing with data.

ChiaJo (Tina) Chen

Business Analyst | Data Analyst

Phone:

408-386-3740

Email:

chiajoc@uci.edu

Location:

Irvine, CA

Domain:

Time-Series, A/B Testing, Google Analytics, Machine Learning, Data Mining, Problem Solver

Seeking Business Analyst, Data Analyst Opportunities

RESUME

EXPERIENCE

January 2021-June 2021

Student Data Analyst

March 2021-Present

Consultant | Volunteer

August 2019-May 2020

Marketing Assistant

July 2016-September 2017

Marketing Assistant

J.D. POWER

Contributing via UC Irvine Capstone Course

Built time series model, logistic regression, and decision tree using R to predict new-vehicle retail sales in 2021 across multiple regions and vehicle segments with the best accuracy. Identified driving factors for sales and gained insight on segment behavior.
Preprocessed data from latitudinal to longitudinal format. Visualized data with Tableau to identify trends including the increase in SUV and pickups in the past ten years, and hybrid and electric vehicles being the only increases in sales during the pandemic.
Developed the recommendations for model adjustments to address alternative improvements and unexpected circumstances such as COVID-19, production disruptions (tsunamis), and a financial crisis.

SEED CONSULTING GROUP

Consulted for WildTrack, a non-profit organization developing non-invasive wildlife monitoring solutions using foot tracing images with AI technology to protect wild animals.
Created a framework to recommend new funding strategies related to collaborations with academic institutions, government agencies, and eco-tourism to generate long-term stable funding sources.
Developed visualizations, content, and well-structured UI/UX on WildTrack’s dataset website that contains species tracks and summaries. Explored data approaches for building a new app to upload pictures of animal tracks.

ZHS Workshop Corp.

Assisted marketing managers with biweekly meeting reports, strategized three marketing events, collected / analyzed customer feedback, and proposed improvement plans, increasing the average customer satisfaction to 90%.
Analyzed marketing data including product rating, price, cost through tableau and excel.
Organized promotional events to increase order volume and updated official social media account 5x / week to increase exposure.

YU CHIEH AUTOMATION CO., LTD.

Analyzed customer purchase behavior data and collaborated with accounting department to optimized product mix and pricing by analyzing ideal product order quantities for minimal cost, increasing profit, and boosting sales numbers.
Collaborated with American and European region distributors as an interpreter to enhance working relationships and understanding. Reduced time cost of process from five to three days and improved successful negotiation rate.

EDUCATION

August 2021

Master's Degree

University of California, Irvine
Paul Merage School of Business

Master of Science in Business Analytics

June 2019

University of California, Irvine
Paul Merage School of Business

Bachelor's Degree

Bachelor of Arts in Business Administration

June 2017

Community College

De Anza College

Business Administration

SKILLS

Software: Google Cloud BigQuery,MySQL , Photoshop, Weka, Stata, IBM SPSS, Rstudio

Personality: Interpersonal Skills, Time Management, Internal Controls, Organization

Analytics: Google Analytics, Business Analysis, Data Analytics, Regression Analysis, Market Analysis

Marketing Field: Social Media, Digital Marketing, Strategy, Market Research

Domian Knowledge: Time-Series, A/B Testing, Google Analytics, Machine Learning, Problem Solver, Data Mining, Database Management System (DBMS)

PROJECTS

Goal: To provide the ideal BlackBox for models to predict vehicles sales via historical data and provide comprehensive recommendations.

Model: Time Series Analysis, Regression, ARIMA with X-REG
Tools: R, Data Cleaning, Tableau, A/B Testing

Goal: To build models to predict whether flights will be delayed via US Historical Flight Delay and Weather Data and provide comprehensive recommendations and key takeaways.

Model: Logistic regression, Decision Tree, Random Forest
Tools: R Coding, Data Cleaning, Tableau

Goal: To provide practical suggestions to improve the digital
advertising strategies to attract more applicants.

Model: Chi-sq Test, Logistic Regression
Tools: MS Excel, R, Data Cleaning, Tableau, Advertising Analysis

Goal: This project is associated with the course of business data management to analyze flight delay data in December 2015.

Model: Logistic regression, Decision Tree, Random Forest
Tools: SQL, MYSQL, Google Cloud(Big Query)

Goal: To prove that the stay-at-home order during the pandemic has an impact on the way people interact with each other, and the online gaming industry.

Tools: Python, Juyper Notebook, SteamSpy API, Statistical Analysis

Goal: To find the factors that affect conversion and customer intention and further effectively increase company revenue.

Model: Clustering, Decision Trees, Random Forest
Tools: Machine Learning, Weka

Goal: To address any COVID-19 related issues via dataset, including posts with unstructured text from Facebook and Twitter.

The purpose of this project is early real-time detection of COVID-19’s vaccine side effects in various locations.

Tools: Python, Tableau

Goal: To present a company for potential investors to explain the company overview, objectives, and risk.

Peloton Interactive Inc, which has become a popular at-home brand during quarantine. Peloton provides both hardware and software services, which combines advanced design and modern technology that bring revolutionary changes to the fitness industry

PROJECTS