https://www.hackerrank.com/certificates/**db*e***ee0
https://www.hackerrank.com/certificates/cbcfbef350f6 https://www.linkedin.com/in/truong898/ https://github.com/JJRaylen https:https public.public.tableau.tableau.com/com/app/app/profile/proöle/jjraylen jjraylen https://www.linkedin.com/in/truong898/
ABOUT ME
A passionate problem-solver, an avid data analyst. Explore data to find out valuable insights that improve your business decision-making through descripti- ve, diagnostic and predictive analytics.
Critical thinking, attention to detail, flexing, positive attitude and high adaptabili- ty are my competitive advantages. I would be excited to learn about opportuni- ties related to data analytics.
WORK EXPERIENCE
PERSONAL PROJECTS
2020-2021 Teamlead - Market Analytics
2 years VIET NAM - KOREA PETROLEUM INDUSTRIAL GAS
Collecting and Update regularly data about products and market, which used for Market Analytics Processing and Marketing
Data preparation, get data ready to model and visualize. Data Exploratory, visualize, find insights, identify patterns and trends, predict outcomes, communicate those insights in a way that everyone can understand, Data Cleaning & Wrangling
Data Visualization & Analyst
Machine Learning
Python (np, pd, plt, sns, sklearn..)
SQL Server
REFERENCES
DEMAND FORECASTING - E-COMMMERCE RETAILER
SQL Server
Python
Tableu
- From weekly sales data report over a period of 100 weeks. Predict demand in retail environments.
- Data processing and modeling factors
- Using common demand prediction methods, clustering techniques, evaluation and visualization
Github link: https://tinyurl.com/3cj2jzee
BANK MARKETING
Python - The classification goal is to predict if the client will subscribe a term deposit (variable y).
- Atribute information Analysis. Using Logistic Regression, KNN, SVM, Decision Tree, Random Forest
Gihub link: https://tinyurl.com/yck94pfr
(Ms) Thuy Nguyen PVCFC
Market Research Specialist
Tan Binh Dist, HCMC, VietNam
linkedin.com/in/truong898/
************@*****.***
HOANG MINH TRUONG
FRESHER DATA ANALYST
EDUCATION
CONTACT
PREDICT HOUSE PRICE
Python - Data describe (almost) every aspect of residential homes in Ames, Iowa. You have to predict the final price of each home.
- Data Exploratory, Creative feature engineering. Using Regression analysis such as: Linear, Pipeline, Ridge, Random forest, gradient boosting
- Github link : https://tinyurl.com/4bvj9ryv
Ho Chi Minh University of Technology
Bachelor’s Degree Mechatronics
Hung Vuong Gifted High School
Major: Physical
CERTIFICATE
SQL (Advanced) certificate
Hacker Rank
Python (Basic) Certificate
Hacker Rank
Toeic 600
TOOLS
SKILLS
Anaconda Navigator
SQL Sever
Visual Studio Code
Tableu
Excel
Critical thinking
Problem solving
Interpersonal skills
Ability to work individually as well
as team work
Githhub Tableu
Hard Skill Soft Skill
https://www.linkedin.com/in/truong898/