Credit Card Fraud Transaction Prediction
Handling imbalance dataset and predicting fraud transactions by Logistic Regression and Decision tree in Python.
A Data Analyst is proficient in SQL, Python, Tableau, Power BI and Machine Learning @Qinxin Liu .
Handling imbalance dataset and predicting fraud transactions by Logistic Regression and Decision tree in Python.
Create Power BI dashboard to present the overview of customers' satisfaction and agent performance.
Create Power BI dashboard about CUSTOMER RETENTION analysis.
Create Power BI dashboard for DIVERSITY AND INCLUSION analysis, mainly focus on gender-related KPIs.
Perform data cleaning on housing data in PostgreSQL.
Analyzing the Google Play Store Apps dataset by SQL and present discoveries through Power BI dashboard
Data Exploration of Covid-19 Dataset in SQL.
This holds all of my Tableau Dashboards.
Using sql for data cleaning and generate insights, visualize the results through PowerBI.
Exploring the correlations between different features and performing data visualization by python packages (Seaborn, matplotlib, pandas).
Hamilton, ON