These are mostly projects that I have undertaken as part of my undergraduate degree, or as additional skill-builders for my technical development. I am very willing to learn and apply more skills for analysis!
Key Skills:
Predicting likelihood of defaulting on loans given individual data
Key Insights:
Those with larger annual incomes tend to apply for larger loans.
Larger loan amounts are also positively associated with higher value (luxury, residential, commercial) assets.
Loans made by those with a credit score less than 550, or for a term exceeding 5 years are most likely to be rejected.
Key Skills:
Visualising revenue and consumer data for a burger restaurant
Key Insights:
Out of customers for whom the age is known, 20-to-29-year-olds make up the largest demographic range.
Across all customers, "crispy chicken" burgers are the most popular order at 5457 orders.
Females make up the majority of the consumer base for this restaurant at 70.3% (vs 24.0% for male and 5.7% for other).
Key Skills:
Running regressions and testing hypotheses for various data sets
Key Insights:
The population proportion of heart disease occurrence is larger when individuals smoke, than if they do not smoke.
Education and age have statistically significant impacts on expected earnings.
House size is more significant and reliable in predicting house selling prices than number of bedrooms.
I am currently completing a consulting project with a heavy reliance on data analytics and customer insights, so watch this space for industry artifacts.