• Performed data aggregation in Power BI and built multivariate linear regression models predicting crime rates across the US using Statsmodels. Reported that 73.8% of variation in murder rate is explained solely by % Single Parent Household.

• Conducted logistic regression to evaluate the impact of BMI and Age on diabetes classification odds in Pima Indians using Scikit-learn. Validated their statistical significance using hypothesis testing (Wald test).

• Observed a model prediction accuracy of 64.28%, with the odds of having diabetes increasing by a factor of 1.13 for every unit increase in BMI when age is controlled.