Dan Sadatian

• Defined and executed enterprise data science integration strategy following the Capital One–Discover merger, aligning analytics platforms, ML workflows, and governance standards across organizations.
• Directed harmonization of complex data structures, ETL pipelines, and analytical infrastructure spanning previously independent technology ecosystems.
• Partnered with senior executives to prioritize integration roadmaps, align technical investments with strategic objectives, and ensure continuity of critical data science capabilities.

• Drove adoption of unified ML/AI frameworks and best practices, reducing model deployment friction by 33% and improving governance consistency across enterprise production systems.
• Managed a 5-person data science team through large-scale organizational transformation, maintaining delivery velocity, operational stability, and team engagement during post-merger integration.
• Developed migration strategies for proprietary ML platforms and advanced analytics tooling, minimizing business disruption while accelerating platform unification.
  
  

• Led a cross-functional data science team focused on representation learning, relational network analysis, and predictive modeling for enterprise risk, audit, and compliance functions.
• Architected advanced graph and embedding frameworks to uncover latent relationships across complex financial and operational datasets.
• Developed enterprise reporting and analytics frameworks for audit performance, enabling automated reporting, executive visibility, and real-time operational monitoring.

• Built scalable machine learning pipelines for fraud detection and risk scoring, improving model performance while reducing false positives across high-volume financial workflows.
• Designed and deployed an end-to-end Issue Analysis platform leveraging NLP, graph analytics, and predictive modeling to proactively identify compliance risks and operational anomalies across multiple audit domains.
• Established engineering and MLOps best practices, developing a departmental training program and mentoring 12 junior data scientists in model development, feature engineering, testing, and production deployment.
  
  

Budget Analyst / Resource Manager — Mission Command Center of Excellence

• Built analytical dashboards supporting budget forecasting, scenario planning, and executive decision-making.

Compliance Officer — Combined Arms Command G8

• Oversaw internal financial controls and regulatory compliance, strengthening audit readiness and ensuring adherence to Department of Defense fiscal regulations.

Logistics Specialist — 40TH Military Police Battalion S4

• Coordinated procurement, supply chain operations, and asset readiness across mission-critical logistics functions.

• Managed operational budgets exceeding $3.75M, aligning financial execution with strategic priorities while improving forecasting accuracy and resource allocation efficiency.
• Improved review processes by integrating analytical pattern-detection methodologies that reduced audit cycle times and increased control effectiveness.
• Automated asset tracking and logistics workflows, reducing administrative overhead while improving operational readiness.
• Recruited and fully trained replacement personnel ahead of scheduled transition timelines, ensuring uninterrupted mission continuity.