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Daniel P.
Data Engineer
Amazon Aws

Daniel is available for hire

Meet Daniel P.
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All Howdy Candidates are vetted for skills and english proficiency.


A seasoned multidisciplinary professional with a solid foundation in atmospheric science, demonstrated through expertise in numerical modeling. Transitioned seamlessly into technology and data science, spearheading the creation and distribution of customized reports for over 50 companies, effectively reaching and impacting more than 1000 clients. Experience in the energy sector includes the development of new machine learning models for long-term time series forecasting, significantly improving the accuracy of flow forecast scenarios for power generation. Currently positioned as a Senior Data Product Manager, focusing on advancing data-driven solutions in the agfintech industry.