Aishwarya R

Experience

1. Data Scientist

   Wells Fargo

   Jan 2023 — Present · Austin, TX, US

   Developed predictive models for credit risk assessment, achieving a 20% reduction in default rates using Python and scikit-learn.• Implemented a fraud detection system using machine learning algorithms, resulting in a 15% decrease in fraudulent transactions, leveraging Spark for large-scale data processing.• Created interactive dashboards using Tableau for real-time monitoring of key performance indicators (KPIs), improving data-driven decision-making.• Conducted customer segmentation analysis using SQL and Python, leading to a 10% improvement in targeted marketing strategies and personalized product recommendations.• Analyzed and prepared data identified the patterns on dataset by applying historical models. Collaborated with Senior Data Scientists for understanding of data.• Migrated data infrastructure to AWS, leading to a 30% reduction in infrastructure costs and enhanced scalability.• Performed Data Cleaning, features scaling, features engineering using pandas and numpy packages in python and build models using deep learning frameworks.• Implemented application of various machine learning algorithms and statistical modeling like Decision Tree, Bayes, and Logistic Regression using Python to determine the accuracy rate of each model.• Used Bayesian statistics to analyze market trends, which increased investment portfolio success by 10%.• Used time series analysis to predict cash flow patterns, which helped with 15% less idle funds and helped with liquidity management.

Education

• Arizona State University

  Master's degree, Information Technology