Insiya Hanif

As a Quantitative Analytics Specialist at Wells Fargo, I have honed my skills in statistical analysis and predictive modeling, driving data-driven decision-making processes. My key achievement includes developing a revolving balance model using XGBoost, which significantly outperformed the existing linear model, leading to reduced costs and improved customer interactions.

In addition to model development, I have streamlined user acceptance testing workflows, cutting turnaround time from six months to just two months. This efficiency allowed for the timely delivery of more models. I also played a crucial role in the implementation and migration to new platforms, ensuring smooth transitions and effective model monitoring. My collaborative efforts in developing a testing environment on Python for a Wealth and Investment Management App have further enhanced the accuracy of results delivered to customers.