Senior Data Scientist

Develop and evaluate machine learning and predictive models using Python and SQL to convert complex business data into scalable data science solutions. Build churn models, marketing mix models, revenue forecasts, and statistically validated time-series models using SARIMAX, Elastic Net, and XGBoost.

Develop finance dashboards with Streamlit and Snowflake, presenting analytical findings and recommendations to business and leadership stakeholders. Integrate enterprise systems including Office 365, Microsoft Teams, and Workday into Snowflake through ingestion pipelines and APIs, including Snowflake AI-agent capabilities for natural-language data access.

Lead and mentor a cross-functional team of data scientists and engineers across three workstreams. Use Jira-based status reporting, timeline tracking, and risk management to maintain stakeholder alignment and delivery transparency.

Designed analytics solutions, automated reporting, and data visualizations that improved supply-chain efficiency and reduced data-center cycle times by 20%. Automated data processing and real-time reporting using Python.

Built ETL workflows using Power Query, Microsoft Excel, and Power BI to streamline data transformations and replace manual reports. Developed predictive analytics for budgeting and financial planning using machine learning models.

Supported higher-education analytics initiatives and system enhancements as a Business Analyst. Established an AI project ROI framework, applied clustering and survival analysis for attrition drivers, and helped influence data science strategy and standards.

Collaborated with tax and data-management teams on more than five projects to optimize Pillar 2 processes using Alteryx, improving data reliability by 25%. Created automated business intelligence dashboards and reports that improved operational efficiency by 23%.

Implemented agile practices that reduced project delivery time by 15%. Led development of a publishing API gateway that centralized API management and improved data accessibility for AI applications across more than four internal departments.

Designed a data governance framework that improved data quality by 30% and supported reliable AI/ML inputs. Used AWS to automate tax processes and contribute to data engineering and cloud-computing initiatives.

Analyzed trade and corporate-action data using SQL and collaborated with brokers on corporate and dividend events, reducing failed trades by approximately 60%. Managed data for approximately 3,800 ADRs during the Volkswagen Security ADR termination offer and produced comprehensive SQL Developer reports that generated client cost savings.

Optimized SWIFT message content for a Spanish re-registration project, reducing transaction costs by 30 EUR per trade. Designed data-governance frameworks and KPI dashboards that improved data quality by 30% and aligned IT and business teams on product health and strategic priorities.

Improved finance workflows by 20% through business process mapping and the use of Jira and Confluence. Mentored junior analysts on data analysis, governance standards, and process documentation while supporting security, compliance, and system-improvement initiatives.

Developed SQL queries for data analysis and contributed to a data governance framework supporting trading operations. Performed risk-management activities focused on the security and stability of financial operations, helping mitigate financial and operational risks by 30%.

Communicated technical solutions and data insights to non-technical stakeholders, translating complex analysis into actionable business intelligence. Documented processes to support scalability, operational consistency, and compliance.