I’m a Data Engineer with experience in data pipelines, machine learning, and process automation. I love turning raw datasets into valuable insights and building scalable solutions that improve efficiency.
- Languages: Python, SQL, JavaScript
- Data Engineering: BigQuery, Spark, ETL pipelines
- Machine Learning: scikit-learn, Pandas, NumPy
- Visualization: Tableau, Power BI, Google Data Studio
- Equifax – Built ML models with Python & BigQuery, automated manual workflows (cut processing time by ~40%), and presented an ML project to leadership in Atlanta as the sole developer.
- Amazon – Developed reporting systems for a 400+ member org, engineered ETL processes (reduced data processing time by 30%), saved more than 1 million dollars annually, and created Python scripts to scale data operations.
- Working on ML projects focused on predicting customer behavior and process optimization.
- Expanding skills in cloud data platforms and scalable ML systems.
✨ Always open to collaboration on data engineering, automation, and ML projects!