Daniel K. Email & Phone Number

With over a decade of experience in product management, AI/ML leadership, and big data analytics, I specialize in driving impactful AI/ML product innovation at scale. I’ve led cross-functional teams for high-profile clients such as the DOD Chief Digital and AI Office, Booz Allen, and top Wall Street banks, guiding AI and machine learning solutions that unlock the value of large, unstructured datasets. As a Senior Product Leader of AI/ML Products, I bring expertise in program and portfolio management, business intelligence, and data strategy to ensure our products meet core business objectives and drive growth.My experience spans product lifecycle management, KPI development, and data-driven strategy for enterprise AI/ML solutions, aligning with business goals to create measurable impact. Leading teams across executive, operational, and technical functions, I focus on creating cohesive, agile processes that support seamless AI model deployment and improve business performance. In recent roles, I’ve overseen AI-powered search models, large-scale analytics initiatives, and KPI frameworks, utilizing Agile methodologies to deliver results that align with company priorities.With a foundation in quantitative research and statistical modeling using tools like MATLAB, SAS, and SPSS, and early entrepreneurial work in fintech and microfinance, I bring a data-centric approach to product leadership. This blend of technical and strategic insight enables me to develop AI/ML products that help businesses leverage data intelligence, optimize workflows, and stay competitive in a fast-evolving market.Summary of Technical Skills:Data Science: Advanced Statistical Modeling, Machine LearningData Analysis: SQL, SAS, SPSS, R, and PythonPython Data Science: Databricks, Pandas, NumPy, MatplotlibData Visualization: Qlik, Tableau, Microstrategy, R, Google Charts, and Power BICloud: AWS, SharePoint, Google CloudAmazon: QuickSights, DevOpsWebpage: HTML and CSS

Listed skills include Sas Programming, Regulatory Risk Analysis, Data Analysis, Strategic Financial Planning, and 24 others.