SKILLS
| Tools and Languages | Python, R, Microsoft SQL Server, MySQL, Google Analytics 4, Power BI, Locker Studio, Excel, Latex |
| Domain Knowledge | Sales and Marketing Analytics, E-commerce Analytics, Social Media Analytics |
| Soft Skills | Logical thinking, Problem solving, Presentation, Communication |
| Communication | English, Vietnamese |
EXPERIENCE
FUNiX Online Education Joint Stock Company
Office IT Tutor Aug 2024 — Present
Research Department of HUB University, Ho Chi Minh, VN
Research Student Dec 2023 — Present
SHORT RESUMÉ
User Clustering on Social Networking Platforms and Applications in Business
Python, Web Dec 2023 — Nov 2024
Euréka Scientific Research Student Award 2024
- Developed tools to crawl users’ post data across social platforms
- Analyzed data and applied word embedding to represent words in cleaned text as fixed-dimensional vectors
- Reduced dimensionality of data from high-dimensional space to lower-dimensional
- Grouped users with similar interests on social media platforms using the K-means algorithm
- Identified common user behaviors and preferences to provide valuable business insights
- Optimized marketing and advertising costs, enhancing business reach to potential users
- Created a website to analyze user posts and recommend suitable products
Toman Bike Share Sales Analysis
MS SQL, Power BIMay 2024 — Jun 2024
Ho Chi Minh University of Banking
- Gathered data with 34,000+ rows including date, time, rider type, weather, and pricing
- Cleaned data and engineered features
- Analyzed revenue, trends, and demographics
- Created visualizations for insights
- Insights: Revenue growth; recommended price hike
- Strategy: Market research and price monitoring
Hoa Phat Group Stock Price Prediction (HOSE: HPG)
Python Feb 2024 — Apr 2024
Ho Chi Minh University of Banking
- Collected historical stock price data for HPG using
vnstock - Applied the ARIMA (Autoregressive Integrated Moving Average) model to predict future stock prices
- Compared predicted prices with actual prices to determine the model’s accuracy
- Analyzed factors affecting prediction performance
Decoding Customer Response for Profitable Campaigns
R Programming Sep 2023 — Nov 2023
Ho Chi Minh University of Banking
- Data Preparation: Cleaned a 2,200+ customer dataset
- Analysis: Explored response rates by age and income
- Modeling: Used Random Forest, Logistic Regression, Decision Trees; applied K-Means for segmentation
- Insights: Achieved 87% accuracy; identified high-income responders
- Strategy: Targeted marketing for profitability
EDUCATION
Ho Chi Minh University of Banking Graduating Sep 2021 — Present
Management Information System GPA: 3.3 / 4.0
Data Science in Business
- Relevant coursework: Big Data Analytics, Social Media Data Analysis, Data Mining, Data Warehouse and Decision Support System, Data Visualization…
CERTIFICATIONS
- TOEIC (LC + RC): 730 Nov 2024
- Google Data Analytics Professional Certificate Oct 2024
- Microsoft Office Specialist: Word 2016 May 2024
- Microsoft Office Specialist: Excel 2016 Apr 2024
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