Python, R, C, Tableau, Power BI, Data Visualizing, Data Wrangling

Tim Chang

adnnxi@r.postjobfree.com https://www.linkedin.com/in/tim123/

213-***-**** Los Angeles, California

OBJECTIVE

Seeking full-time employment in data science and analytics. TECHNICAL PROFICIENCIES

● Data Analytics: Python (pandas, numpy, sklearn, matplotlib, seaborn), SQL, Excel, Tableau, Power BI R (ggplot2, dplyr, readr, dslabs, caret, e1071)

● Project Management: Microsoft Project, Arena Simulation, SAP ERP

● Others: AMPL, C, Fortran, Vectorian Giotto, Tina Demo EDUCATION

University of Southern California

M.S. in Analytics (STEM)

Los Angeles, CA

08/2019 – 05/2021

• Relevant courses: Predictive Analytics, Data Mining, Data Management, Optimization Methods for Analytics, Decision Analysis, Data Analytics Consulting, Engineering Project Management, Enterprise Wide Information Systems

• Major GPA: 3.78

National Chung Hsing University

B.Eng. in Bio-Industrial Mechatronics Engineering

Taichung, Taiwan

09/2015 – 01/2019

● Relevant courses: Computer Programming, Calculus, Engineering Mathematics, Human Factor Engineering, Reliability Engineering

● Overall GPA: 3.6

INTERNSHIP

Zhang Yi Logistics Company

Product Data Management Intern

Hsinchu, Taiwan

07/2019 – 09/2019

● Managed and organized an online ordering system, leveraging Excel, for creating shipments.

● Reduced 30% of product shipment times by grouping shipments with similar destinations in the same shipment trips.

● Improved efficiency of routine expense calculations by 25% through writing methods in proprietary software (similar to VBA Excel) to automatically aggregate subcontractor labor & material costs of previous projects. Da Sheng Wholesale Company

Data Analyst Intern

Taoyuan, Taiwan

07/2018 – 09/2018

● Coordinated with appliance vendors like Sony, Panasonic, Samsung, and Dyson to sell their appliances in Da Sheng stores.

● Used Python to organize and analyze purchase history data and predicted the most potentially profitable appliances for promotion. ACADEMIC PROJECTS

Visualizing Human Populations in R (Data Mining)

Used a graph-plotting library (ggplot2) and a data frame manipulation library (dplyr) to manipulate data frames from the maps library in R to visualize the population density of U.S. and world cities via bubble maps and heat maps. Trial Project Planning for Virgin Hyperloop One (Engineering Project Management) Virgin Hyperloop One is a company in charge of developing a vacuum train spanning from Los Angeles’s Union Station to San Jose’s Diridon Station. I was the project manager leading a team of 6 engineers. Using MS Project and Excel, we delivered a very comprehensive trial plan proposal which covers budget planning, resource allocation, contingency plans, and implementation plans. Passenger Flow Analysis for Galeão Airport (Data Analytics Consulting) Business at Galeão Airport has been disrupted due to COVID-19. With passengers waiting in line, they skip airport shopping to catch their flights, leading to a decrease in 30% of retail spending. To prevent the airport from spreading the virus, the airport also needs to minimize overcrowding. Our team created a passenger flow prediction model (Random Forest Regression) to reduce passenger wait times, maximize revenue, and minimize overcrowding. After performing a time series k-fold cross-validation on ~77 GB of data via a Python script running on AWS Data Pipeline, we proved our proposed solution fits well with the situation at hand, with an R2 value of 0.84. Lab Size Optimization for SM Testing Ltd. (Performance Analysis with Simulation) SM Testing is the parent company for a series of small medical laboratory testing facilities. Our team designed a logical model to optimize lab size maximizing sample processing efficiency while minimizing construction costs. Performed simulations through Arena Simulation Software and verified them to be accurate within 0.1%. We created a 117-page proposal to provide recommendations to a management team at SM Testing company. Our professor chose our project as a model project for future classes. Site Selection for Panda Express (Decision Analysis) Performed a site selection analysis using Excel Utility Trend Graphs for Panda Express near the USC campus. The analysis includes developing and utilizing utility functions for decision analysis, maximizing revenue subject to safety, accessibility, population density, and rent constraints.

Household Poverty Level Prediction for Costa Ricans (Predictive Analytics) Implemented an algorithm to aid in income qualification for Costa Rica’s social programs. The algorithm was stored and executed in a Jupyter notebook, analyzing data using ML libraries like Numpy, Pandas, Matplotlib, Seaborn, and Scikit-learn. SELF-LEARNING COURSES

SQL Essential Training LinkedIn Learning

Basic functions such as select, create, update, join, views, aggregate, transection, triggers, etc. 12/2020 – 02/2021 R Essential Training LinkedIn Learning

Data Visualization (ggplot2), Exploring Data & Analyzing Data & Predicting Outcomes, Clustering and 10/2020 – 01/2021 Classifying Cases

IBM Data Science Coursera

Tools for Data Science, Data Science Methodology, Databases and SQL, Data Analysis, Data Visualization, 12/2019 – 08/2020 Machine Learning

Probability & Statistics Udemy

Bayes Theorem, Random Variables, Joint Distributions, Central Limit Theorem, Linear Regression, Hypothesis 01/2020 – 03/2020 Testing, Confidence Intervals, ANOVA, Experimental Design Programming for Everybody Specialization Coursera

Python Data Structures, Access Web Data, Use Databases 08/2019 – 12/2019 LEADERSHIP & HONORS

● Pioneered the establishment of a tutoring program at National Chung Hsing University (NCHU) for university students to tutor students from a local high school

● Selected by NCHU (top 5% applicant) as an exchange student to South Korea’s Chung-Ang University

● Performed as a drummer in a college band at a prestigious event known as Huashan Creative Park Live House

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