Pinned Repositories
bank_marketing_analysis
This notebook is a data analysis project, which analyzes data from marketing activities of the commercial bank, then detect important features which contributes the decision to subcribe the deposit term of customer.
Data_Bank_SQL_Challenge_Full
Data Bank SQL Challenge full questions and answers for A,B, C, D Challenge (SQL 8 Week Challenges)
Digital_Marketing_Customer_Insights
Analyzing Customer Insights through Marketing Campaigns Result, Measuring Effectiveness of Digital Marketing Campaign
Fraud-Detection-in-Banking-transaction
Theories about HMM and application in Fraud Detection in Banking Transaction
Insurance-Complaints-Analysis
This report contains the complaint's historical analysis from 2018 to 2020 by dimensions, the complaint's status changes, client's satisfaction & brokers performances.
Kalapa-credit-scoring
Build Credit Scoring Model in real dataset. Exploratory analysis dataset with hidden features .Using WOE method for explaining features which strongly contributes to output.
NCAA-Revenues-and-Expenses-2005-2017
Dashboard about Financials of NCAA member schools and are compiled to examine revenues and expenses at athletic departments throughout the NCAA
Restaurant-Sales-Order-SQL-Challenge
Restaurant orders and revenue full questions and answers (SQL 8 week challenge)
Risk-Management-Dashboard
A case study of risk management dashboard by using Power BI dax, risk matrix and domain knowlegde about risk management/
Time-Series-Data-Analysis
This is a jupyter notebook using Time Series Method (Triple Exponential Smoothing) for forecasting total bandwidth of a company providing entertainment platform for music, video, live stream, chat, etc. As the dataset is only train set, so I split train set to train-tuning, val-tuning and test set.
VuNguyenDang's Repositories
VuNguyenDang/Risk-Management-Dashboard
A case study of risk management dashboard by using Power BI dax, risk matrix and domain knowlegde about risk management/
VuNguyenDang/bank_marketing_analysis
This notebook is a data analysis project, which analyzes data from marketing activities of the commercial bank, then detect important features which contributes the decision to subcribe the deposit term of customer.
VuNguyenDang/Data_Bank_SQL_Challenge_Full
Data Bank SQL Challenge full questions and answers for A,B, C, D Challenge (SQL 8 Week Challenges)
VuNguyenDang/Digital_Marketing_Customer_Insights
Analyzing Customer Insights through Marketing Campaigns Result, Measuring Effectiveness of Digital Marketing Campaign
VuNguyenDang/Fraud-Detection-in-Banking-transaction
Theories about HMM and application in Fraud Detection in Banking Transaction
VuNguyenDang/Insurance-Complaints-Analysis
This report contains the complaint's historical analysis from 2018 to 2020 by dimensions, the complaint's status changes, client's satisfaction & brokers performances.
VuNguyenDang/Kalapa-credit-scoring
Build Credit Scoring Model in real dataset. Exploratory analysis dataset with hidden features .Using WOE method for explaining features which strongly contributes to output.
VuNguyenDang/NCAA-Revenues-and-Expenses-2005-2017
Dashboard about Financials of NCAA member schools and are compiled to examine revenues and expenses at athletic departments throughout the NCAA
VuNguyenDang/Restaurant-Sales-Order-SQL-Challenge
Restaurant orders and revenue full questions and answers (SQL 8 week challenge)
VuNguyenDang/Time-Series-Data-Analysis
This is a jupyter notebook using Time Series Method (Triple Exponential Smoothing) for forecasting total bandwidth of a company providing entertainment platform for music, video, live stream, chat, etc. As the dataset is only train set, so I split train set to train-tuning, val-tuning and test set.