Diego Ramallo, PhD, currently serves as the Lead Data Scientist at Jampack, where significant achievements include automating demand forecasting models that reduced extreme errors by approximately 50% and developing a demand dashboard to enhance sales monitoring. Previously, Diego excelled as a Senior Data Scientist at Vroom, leading the creation and implementation of five machine learning products that optimized sales and marketing efforts. Earlier experience includes working as a Data Scientist at Albeado, where supervised and unsupervised learning techniques were applied for sales forecasting and fraud detection. A Data Science Fellow at Insight Data Science, Diego analyzed transaction data for financial optimization. Academic qualifications feature a PhD in Biophysics from Stanford University and a BS in Biology with a Chemistry minor from James Madison University.
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