Sujay Patel

I’m a data analyst with hands-on experience building end-to-end analytical workflows across data cleaning, feature engineering, and predictive modeling. I ground my work in statistics and mathematics to convert raw, unstructured data into clear, actionable business recommendations.

I recently built a credit risk default prediction model on 30,000+ customer records using Logistic Regression, achieving ROC-AUC of 0.748. Through threshold optimization, I reduced estimated financial loss by ~29% while engineering business risk metrics like credit utilization ratio and behavioral indicators.

I also analyzed ~19,000 job postings by collecting and standardizing data with Python web scraping and SQL, then turning it into interactive Power BI dashboards for workforce trend insights. From credit profiling to workforce planning, I focus on data storytelling, stakeholder communication, and attention to detail.