I'm a seasoned data professional with 11 years of experience, adept at leveraging advanced analytics to drive user growth and operational efficiency. I've excelled in roles at the Federal Reserve, employing machine learning techniques and ETL processes to enhance data-driven strategies. I'm actively seeking a Data Scientist/Machine Learning Engineer position to apply my predictive modeling and data integration expertise.
- 🔭 I’m currently working on migrating substantial datasets to AWS using Databricks.
- 🌱 I’m currently learning more about Retrieval Augmented Generation technology.
- 👯 I’m looking to collaborate on projects involving advanced machine learning and big data.
- 💬 Ask me about machine learning, data integration, and predictive modeling.
- 📫 How to reach me: [email protected]
- ⚡ Fun fact: I enjoy playing golf and video games!
- Programming Languages: Python, SQL
- Machine Learning: Scikit-learn, PyTorch, TensorFlow, Keras, XGBoost, AdaBoost, Naive Bayes
- Data Visualization: Tableau, Matplotlib, Seaborn, Plotly
- Big Data Technologies: Databricks, Spark, Hadoop
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Databricks Engineer at Federal Reserve Bank of Richmond - National IT (Jan 2023 - Present)
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Senior Data Analyst at Federal Reserve Bank of Chicago (Aug 2022 - Present)
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Data Analyst at Federal Reserve Bank of Chicago (Nov 2013 - Aug 2022)
- M.S. in Predictive Analytics from DePaul University (Apr 2021)
- B.A. in Mathematics from Governors State University (Dec 2012)