data scientist

Biochemistry undergrad, now finishing my MS in Business Analytics at the Carlson School of Management (AI in Business track, August 2026). Coursework and personal projects center on ML pipelines, predictive modeling, deep learning, and big-data systems. Other interests: math, physics, quantitative finance, equity markets, computational drug discovery, applied LLMs, local inference. Open to data science and analytics roles starting August 2026. Particularly drawn to applications in biotech and medical devices, where my biochemistry background adds domain depth.
Python, R, SQL, Java, C, JavaScript, PyTorch, TensorFlow, Keras, scikit-learn, Pandas, NumPy, Apache Spark, Databricks, AWS, GCP, Hadoop, Hive, RAG, Time Series Analysis, A/B Testing, Causal Inference, Excel, Tableau, Git, Linux, Railway
Eagle Scout | FINRA SIE | American Mensa | Founder, UMN Biotech & Finance Club | Wedum Centennial Scholar | Wallin Enterprise Scholar | Bill & Carol Riley Scholar | Iron Range Scholar | SCUBA Certified