Wilnze10/Bank-Loan-Data-Analysis

William Nzewi

Data Analyst

DATASET

Data - Bank loan data with 38577 rows covering the 12 months in 2021. Data Analysis - SQL Server and Microsoft Power BI Data Visualization - Microsoft Power BI

The following questions were answered using both SQL and Power BI:

Total loan application
mtd total loan application
pmtd total loan application
average dti
mtd average dti
pmtd average dti
average interest rate
mtd average interest rate
pmtd average interest rate
total loan amount
mtd total loan amount
pmtd total loan amount 13 total payment 14 mtd total payment 15 pmtd total payment 16 monthly trends 17 home ownership analysis 18 analysis by state 19 employment length analysis 20 purpose analysis 21 term analysis 22 Good loan Applications 23 percentage good loan application 24 percentage bad loan application 25 good loan total payment 26 bad loan total payment 27 loan status grid view 28 mtd loan status based values
#INSIGHTS AND RECCOMMENDATIONS
The bank made a total of $473.1M from the $435.8M it gave out as loans. That's $37.3M, a 7.9% in profits.
$21.3M (57.1%) of that money came from debt consolidation alone. Debt consolidation loans also have the highest interest rates. The bank should disbursing more of this kind of loan.
Most of the bank's business ($83.9M from payment) came from the state of California. To put it in perspective, second placed New York City raked in just over half ($46.1M) of that for the bank in loan payment.
Debtors with over 10 years of work experience are the most lucrative segment for the bank. Each debtor generated $14190 for the bank. In second place are newbies who have been in their job less than a year. This segment did $10392 per person on average.
60-month loans proved to be much more profitable than the 36-month term. The bank generated $17251 from each person on average from 60-month terms compared to $10437 it got per person in the 36-month term.
Bad loans (Charged off) accounted for 13.8% of the total loan application. Bad loans cost the bank $65M. To curtail this, bad loans should be kept at a minimum. There should be a mechanism in place to identify potential bad debtors early in the process.
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