Eric Kaurs

With over a decade of experience driving measurable business impact through machine learning, AI, and advanced analytics, I am excited to apply for the Senior Data Scientist position at your Company. My expertise spans predictive modeling, generative AI, real-time data systems, and cloud-based ML deployment—aligning closely with your needs for a results-driven data scientist who can translate complex data into strategic growth.

At Walmart, I designed a dynamic pricing algorithm using ElasticNet regression and real-time competitor data, boosting gross margins by 6.1% in seasonal categories. I also pioneered the integration of generative AI (GPT-3.5 fine-tuned models) to automate product descriptions for over 1 million SKUs, enhancing scalability while reducing manual effort. Additionally, my demand forecasting framework (Prophet + LightGBM + Kalman Filters) reduced forecasting error (MAPE) by 18% during peak seasons—directly improving inventory efficiency.

Previously, at Swish Analytics, I built sports betting prediction models (LightGBM, Bayesian methods) that consistently outperformed industry benchmarks. My work in automating ML pipelines (Airflow, SageMaker) cut model iteration time from 3 days to 8 hours, proving my ability to scale AI solutions efficiently. I thrive at the intersection of data, business strategy, and engineering, and I am eager to bring this same analytical rigor and innovation to your Company.