Haw-Jan Hwang (Harry)

**** ******** ******, #****, ******, TX, 78741 e-mail:ader93@r.postjobfree.com

Mobile: 979-***-****

Youtube: https://www.youtube.com/channel/UCcar5wq4KBTFS8w4FElcvyw?view_as=subscriber Education

The University of Texas at Dallas Sep 2018 - Jun 2020 M.S., Business Analytics - Data Science

Texas A&M University Sep 2015 - Jun 2017

M.S., Economics - Financial Econometrics

Highlights

● Technical tool: Python, MySQL, JavaScript, R, SAS, MongoDB, Tableau, SAP Lumira, Excel, Git, Github

● Statistics: Hypothesis Testing, Bayesian Inference, A/B test, Probabilities, Time Series

● Data Analysis: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, sklearn, scipy, ggplot, shiny

● Machine Learning (AI): Regression, Clustering, Random Forest, KNN, Decision Trees, Ensemble Learning

● Database: DBMS system, ER-diagram, ETL process, Data Warehousing, Data Modeling, Document Database Professional Experience

C.K.Group Inc. - Irvine, CA Jul 2017 - Jun 2018

Logistic Analyst

● Implemented Tableau dashboards to track monthly progress of Purchase Orders (PO), reducing closure time by 50%.

● Maintained vendors and products records while enforcing data integrity resulting in 30% error reduction.

● Coordinated daily scheduling tasks and relationships between customers and carriers for 80% of outgoing POs.

● Pioneered new employee training standard operating procedures, reducing training period by up to 50%. Taiwan External Trade Development Council (TAITRA) - Budapest, Hungary Jun 2016 - Sep 2016 Import/Export Data Analyst Intern

● Analyzed major local imports and exports, and successfully established relationships with 20 new trade partners.

● Developed time series models to identify trends and seasonalities used to forecast import demands.

● Published market reports with forecasted market demands to more than 100,000 Taiwanese export companies.

● Delivered 3 business analysis reports, providing market insights and updates to 30,000 newsletters subscribers. Shih Chien University - Taipei, Taiwan Sep 2013 - Jun 2015 Teaching Assistant (Multimedia application course and Application of information technology course)

● Compiled teaching materials and lesson plans about Excel, PowerPoint, Photoshop, and PowerDirector.

● Answered students questions and concerns in a timely manner, increasing questions response rates by 25%.

● Established standard operation procedure (SOP) on grading process, thereby reducing error rate 20%.

● Worked under professor’s direction to maintain a clean, thorough, interesting learning experience for students. Academic Projects

A. Python Projects

o Sorting Algorithms GUI: Built an animated GUI, using Tkinter and Matplotlib, to help students better understand 4 different sorting algorithms.

o Used Cars Prices: Used advanced regression (i.e. Lasso, Ridge, AdaBoost) with dimensionality reduction using PCA to prioritize variable impact.

o Income Level Classification: Utilized ensemble models (i.e. voting, bagging) with seq2seq deep-learning models to classify different income level.

B. R projects

o E-sport Analysis: Provides insights on player performance using radar charts and performed predictive analytics using Random Forest.

o Telecom Churn: Predicted likely to churn customers using logistic regression, tree-based models, K-Nearest Neighbors to obtain an estimated cost-saving of $470,000.

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