I'm an experienced Data Scientist with a history of applying data science to solve business problems in the field of manufacturing, insurance, and retail. In my recent role at Target, I led a global team of 7 Data Analysts and 3 Data Engineers and built an anomaly detection model using K-means, effectively sifting through a massive dataset of 24 billion records to find outliers. Outside of work, I like to apply my data science skills to tackle personal challenges. For instance, I conducted an A/B test to inform my car purchase decision based on front grille design and developed a sophisticated national park recommendation system, considering proximity, seasonal factors, and preferred activities to help me choose which national parks to visit when.
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📧 You can reach me at [email protected]
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⚡ Fun fact I love solving real life problems using Data Science!