Zeenat Afreen

Background

About Zeenat Afreen

A dedicated and data-driven Data Analyst currently working in the Data Science team at IIFL Home Finance, specializing in collections and risk assessment. With a Bachelor’s degree in Computer Applications and expertise in SQL, Python, Excel, and data visualization, I bring a strong analytical mindset to the fintech industry. Passionate about data preprocessing, risk modeling, and process optimization, I thrive on extracting insights from complex datasets to drive informed decision-making. My role involves collaborating with cross-functional teams to enhance collections strategies, define key performance metrics (KPIs), and improve operational efficiency through data-driven solutions. As a problem solver and self-believer, I am eager to explore Generative AI applications in finance while continuously expanding my knowledge in loan risk factors and predictive analytics. Always open to learning, networking, and contributing to impactful projects in the fintech space. Let’s connect to exchange insights on data science, analytics, and fintech!