Data Analyst
Resume:
GIANG NGUYEN TRUONG
D A T A A N A L Y S T
Programming: Python, R, SQL
Tools: Power BI, Tableau, Excel
Machine-learning: Scikit-learn,
Statsmodel
S K I L L S
VietNam, Ho Chi Minh
********@*****.***
www.linkedin.com/in/nguyen-giang-
375b4516b
A data analyst having the skills to work with massive amounts of structured data and analyze data to uncover insights that can be put to use. To discover the relationships between variables, visualize the data. Finding the hidden jewels in the sea of data that can help organizations solve their challenges is something I am extremely passionate about.
Future goal is to be a senior data analyst.
P R O F I L E
P R O J E C T
E D U C A T I O N
Software Engineering
2017 - 2022
TON DUC THANG UNIVERSITY
C E R T I F I C A T E
IBM DATA SCIENCE
GOOGLE DATA ANALYTICS
GOOGLE DATA ANALYTICS CASE STUDY
Self project
This case study is about analyzing the data of a Cyclistic company in a year.
We want to understand what is the difference between casual riders and member riders.
I loaded and preprocessed the data using R, then combined the 12 months' worth of data from multiple files into a single cleaned file. After that, use Tableau to visualize the data. R can also accomplish this, but I want to experiment with Tableau.
After analyzing, I am aware of the distinctions between the two categories of riders, the busiest hour, day of the week, and riding season. I utilize this knowledge to make recommendations for the business's strategy. https://github.com/giangnguyen19/Data-Analyst---Cyclistic-case-study L A N G U A G E S
TOEIC - 800+
Proficient in communicating
ENGLISH
POWER BI -HR ANALYTICS
Self project
Use the power of visualization and Dax measures in Power Bi to analyze an HR dataset.
Build a dashboard for better explanation and a better understanding of the data.
Have a better view of the company situation by examining the total of males and females in the company, the retrenchment rate of the company, the satisfaction of the employees, the ratio of high-performance and low- performance employees, then the list of employees that are either will be retrenched or due for promotion
https://github.com/giangnguyen19/PowerBi-Hr_Analytics I N T E R E S T S
Basketball
Working out
Listening to music
Reading books
Self-improving
P R O J E C T
APPLY SEQUENTIAL RULE IN DATA MINING
Graduation Project
Given a weblog from a business website. Preprocess and then apply sequential pattern mining algorithms to the weblog to get the sequential patterns.
After getting the sequential patterns, use sequential rule mining algorithms to get the most likely products that can be bought with each other.
Able to capture customer shopping behaviors. Show recommended products after applying the sequential rule during their purchases. Helped increase sales revenue
https://github.com/giangnguyen19/Data-mining
Self project
PREDICT SPACEX LANDING OUTCOME - IBM
DATA SCIENCE CERTIFICATE
SpaceX can reuse the first stage of the rocket launch, which lowers the cost significantly compared to other providers.
We want to predict whether the first stage will be successful or not. Python is used to collect data from the SpaceX API. Retain useful features, add them to a data frame, perform data preprocessing, use seaborn library for data visualization, feature engineering, and then use selected features to build a predictive model. Choose the best performing model from four classification models using gridcv.
The accuracy of Logistic regression is 83.3%. It performed admirably with the testing data, still need more data to improve. https://colab.research.google.com/drive/12XV3_D8oqJic- pxV2PYuRy5c_2P1D7uQ?usp=sharing
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