Anh Hoang Chu has over 3 years of experience in data analytics and business intelligence roles. He is proficient in tools like Tableau, SQL, Excel, and has experience cleaning, analyzing, and visualizing large datasets. Currently he works as a Tableau System Support Analyst where he designs reports and dashboards to provide insights to clients and management.

1. ANH HOANG CHU
972-302-7812 | anhchu1291@gmail.com | LinkedIn | Tableau | GitHub
PROFESSIONAL SUMMARY
Business professional with 3-year professional experience in fast-paced
multinational corporations
Problem solver with an analytical mind, proficient user of many analytical tools, and
fast learner of new software & systems
Credentials: Data Analyst NanoDegree (Udacity), Data Mining & BI with SAS (SAS
Institute), ITIL Foundation for IT Service Management (AXELOS)
PROFESSIONAL EXPERIENCE
NTT Data Services - Dallas, USA - Tableau System Support Analyst Oct 2017 – present
• Gather requirements, provide analytical support, present model and insights to internal/external clients and
management team in operations reporting projects
• Design and distribute ~30 reports to internal support group leaders to identify outstanding IT support tickets to
ensure service level, provide service delivery success and track team performance
• Clean, validate and analyze complex dataset with MS SQL Server; combine Custom SQL and Tableau to
frequently analyze large dataset (~1M records) while ensuring efficiency and reduce computation time
• Reduce time to deliver information to operations team by 90% by improving reporting process to automate
existing ad-hoc reports in Excel into interactive dashboards to leverage users’ engagement
• Actively introduce initiatives to drive continuous improvement in reporting and data management
• Introduce interactive dashboards and predictive analytics to the company
• Analyze the CSAT Survey Data to classify customer sentiment using TextBlob and VaderSentiment; created a
WordCloud to illustrate the voice of customer through Survey Comments; achieved accuracy of 82%
E2open, Inc. - Dallas, USA - Business Analyst Intern Mar 2017 – Aug 2017
• Built benchmarking project from ground up including data collection & validation and report generation
• Designed Oracle SQL data tables and create query rules to export data into Excel for ad-hoc and routine reports
using advanced spreadsheet modelling (Pivot table, VBA, advanced chartings)
• Developed financial benchmarking and demand sensing data visualizations, reports and presentation decks in
Excel, PowerPoint and QlikView used by vice presidents, directors of customer solutions team, and consultants
in the USA or EU
• Calculated and analyzed more than 20 different business and supply chain KPIs ranging from Profitability to
Efficiency Indicators such as Operating Margin, Cash Conversion Cycle, DIO, DSO, DPO, from financial reports of
G2000 companies
• Worked directly with Director of Business Value team to translate KPIs figures to stories and insights, and
propose operational improvement opportunities to leverage the service quality and product offerings to
potential clients and existing clients
Rent A Center - Dallas, USA - Transportation Consulting Project Aug 2016 – Dec 2016
• Proposed solution to reduce transportation distance by 10% and LTL by 50%, improved lead time to 10 days for
incoming E-Commerce orders of bulky products by introducing cross-dock practice and process improvement
through MS Visio process mapping
• Visualized the distribution network of 5 Distribution Centers, 20 crossdocking and 2400 stores using Tableau and
Vehicle Routing Tool
Excel 
SQL + Tableau 
Business Intelligence 
Data Analysis 
Data Visualization 
Process Mapping 
SAS 9.4, R, Python 

2. PROJECT EXPERIENCE
Image classification of flower dataset using Pytorch May 2019
• Built a neural network model on the training set of ~6.5k images of 102 flower species using 3 Torchvision
pretrained models: VGG16, VGG19 and DenseNet121, achieved accuracy of 89% on the test set of ~800 records
• Created a command line application with modular functions to train and predict any other labeled image
datasets
Income classification of US Census Dataset with Python Scikitlearn Mar 2019
• Preprocessed data using log-transformed and MinMaxScaler for continuous features, and one-hot encoding for
categorical variables
• Predicted income of individuals who make more or less than 50k from 45k Census Dataset of 45k records using
10 different classification models such as Ensemble (AdaBoosting, Gradient Boosting, Random Forest), Decision
Tree, Gaussian NB, etc.
• Tuning hyperparameters with GridSearchCV and achieved 87% accuracy and 75% f1 score on tuned model
Data Visualization with Tableau Apr 2017
• Created various dashboards and storyboarding with different datasets using advanced Tableau calculations, data
blending, grouping, clustering and Analytics tool (Available at Tableau Public portfolio)
Data Warehouse Design for E-commerce Business Apr 2017
• Designed data warehouse with star schema using Kimbal Methodology for 5 departments of a beauty E-
commerce business in Erwin
Customer Analytics Modelling of Barnes & Noble book purchase dataset with SAS 9.4 Mar 2017
• Predicted the number of customers purchasing from Barnes & Noble in 2007 with 33000 records and 8
demographic attributes using 3 models: Negative Binomial Distribution, Poisson Regression and NBD Regression
with Proc NLMixed, Proc SQL and Proc MI in SAS
Enron Dataset Fraud Identification with Python Nov 2015
• Classified persons-of-interest who were involved in Enron fraud case from the dataset of 144 employees with 21
variables using KNN, Decision Tree, Random Forest, AdaBoost in Python SKLearn
Exploratory analysis of Prosper Loan dataset with R Oct 2015
• Performed Exploratory Data Analysis using R ggplot using the Prosper Loan dataset
• Built linear regression model to predict Borrower Rate for new loans with R-square of 89%
EDUCATION
The University of Texas at Dallas - M.S., Supply Chain Management - Summa cum Laude Aug 2017
• Honors Dean’s Excellence Scholarship (GPA 3.97)
• Forth-place in APICS Terra Grande Competition in Supply Chain Management over 10 teams
• Third-place in Operation Management Competition over 30 teams from 4 schools in Dallas/Fort Worth
• First-place in 2 Supply Chain Case Competitions over 24 teams from UT Dallas, UT Arlington and SMU
Foreign Trade University (Vietnam) - B.S., Business Administration May 2013
• Honors American Chamber of Commerce Scholarship