I am a Data Scientist at TransUnion focused on bridging the gap between complex datasets and production-ready machine learning solutions. My expertise lies in building predictive models, optimizing data pipelines, and implementing rigorous model monitoring to ensure long-term reliability.
I believe that great data science requires both analytical depth and engineering discipline—which is why I prioritize writing clean, optimized code and maintaining total visibility over the ML lifecycle.
- 🧠 Expertise: Machine Learning, Predictive Modeling, Model Lifecycle & Monitoring.
- 💻 Tech Stack: Python (NumPy, Pandas, Scikit-Learn), SQL Optimization, Git.
- 🎯 Mission: Turning high-dimensional data into robust, reliable, and scalable systems.
"In a world of variables, embrace the constant of iteration."