Gagandeep Singh Dhillon

Experience

1. Data Scientist

   American Express

   Apr 2024 — Present · NY, US

   At American Express, I’m part of a high-impact data science team that focuses on credit risk optimization, revenue forecasting, and customer retention strategies. Developed predictive models (Logistic Regression, Random Forest) for credit risk classification, resulting in a 12% reduction in default rates and a more stable credit portfolio. Automated end-to-end ETL pipelines using Apache Airflow and Python, ensuring seamless data ingestion and transformation, and reducing manual workload by 10%.🧠 Deployed scalable ML models (forecasting, churn prediction) on AWS using MLOps practices with SageMaker, MLflow, and CI/CD pipelines—cutting time-to-deployment and boosting reliability. Designed real-time Tableau dashboards integrated with AWS Redshift, enabling leadership to monitor risk and portfolio KPIs interactively.🤖 Incorporated Generative AI (OpenAI API) for synthetic data generation to handle class imbalance, and applied LLM-powered sentiment analysis on customer feedback to retain at-risk clients.🧪 Collaborated on A/B testing strategies for marketing campaigns, leading to a 15% increase in conversion rates and improved targeting accuracy.🧬 Presented insights to senior stakeholders through compelling data storytelling, influencing $5M+ in strategic decisions.

Education

• Indira Gandhi National Open University

  Associate Studentship (Non-Degree), Mathematics

• Savitribai Phule Pune University

  Bachelor of Engineering : Incomplete, Mechanical Engineering

  2011 — 2018

• Insurance Institute of India

  Fellowship Diploma, General and Life Insurance

• Bharati Vidyapeeth

  Bachelor of Business Administration - BBA, Financial Management

• Stevens Institute of Technology

  Master's degree, Finance, General