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SaaSSourcing as a Service

Skills

Machine Learning (XGBoost, Random Forest)Python (Pandas, Scikit-learn, TensorFlow)SQL & Relational DatabasesData Visualization (Tableau, Matplotlib)Statistical Analysis & A/B Testing

Experience

Lead Data Scientist

2021 - Present

FinTech Solutions Inc., Austin, TX

  • Developed and deployed a credit risk scoring model using XGBoost, reducing default rates by 12% within the first year.
  • Automated ETL pipelines using Apache Airflow, processing over 50TB of daily transaction data.
  • Led a team of 3 analysts to design an A/B testing framework for product features.
  • Optimized model performance through feature engineering and hyperparameter tuning.
  • Collaborated with cross-functional teams to integrate predictive models into production systems.

Data Analyst

2018 - 2021

Retail Analytics Corp., Chicago, IL

  • Created interactive Tableau dashboards for executive leadership to monitor key performance indicators.
  • Identified customer churn patterns using logistic regression, leading to targeted retention campaigns that saved $1.2M annually.
  • Performed statistical analysis on sales data to uncover trends and inform marketing strategies.
  • Managed SQL queries and relational databases to support ad-hoc reporting and data extraction.
  • Assisted in the development of machine learning models for demand forecasting.

Education

M.S. in Data Science

Northwestern University, Evanston, IL

2018

B.S. in Mathematics

University of Texas, Austin, TX

2016

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