Successful at fusing business, technical, and team management abilities to generate operational efficiencies, guide strategic direction, and elevate financial results. Energized by applying data analytics to solve complex problems. Accomplished at utilizing diverse data science tools and methods to uncover patterns and extract insights. Highly collaborative, value-added business partner and team leader.
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Experience
Led algorithm development and predictive model for employee flight risk, enabling proactive management and 5% reduced attrition ($4M annual savings); generated prescriptive model and partnered with Engineering to build recommendation engine, influencing executive decisions with analytical insights.
Captured $200K savings by building an in-house supervised learning ML model to optimize salaries and ensure market competitiveness; eliminated errors from external tools and reliance on external reporting.
Saved 800 labor hours by designing an automated data source pipeline (HRIS, Workday).
Designed reporting dashboard and presented output to executive team, providing recommendations on how to keep employees in targeted market ranges.
Utilized data science methods and analytical tools as a value-added partner to cross-functional teams; e.g., conducted exploratory data analysis for Sales, produced sentiment analysis to guide Benefits decisions, and created data visualizations for management to understand employee behavior/thinking.
Go-to resource for translating business needs into data analytics and quantitative concepts; worked with big data and highly imbalanced datasets and adjusted class distribution.
Bridged communication gaps between business leaders and technical staff while managing global teams; led team of 4 on project to analyze and remediate data breach risk, saving millions of dollars.
Served as Tableau SME, including proprietary feature development; saved $550K by designing data flow to Hadoop for creation of custom metrics feature, including migration of metrics tables to distributed storage.
Ideated and deployed automations to generate time and cost efficiencies while easing pain points, including saving 7500 hours of manual effort required to publish data sources and workbooks to 1500+ sites; jump-started teams with new site setup and dashboards, connecting people with data sources.
Presented technical concepts to cross-org managers and architects to cluster applications based on risk analysis/level; simplified technical data for presentation to non-technical audiences.
Collaborated on business case and cost analysis to plan/implement move from legacy mainframe to Hadoop data storage; led offshore team of 10 delivering analysis and support.
Built heatmap and roadmap for growth opportunities and cost savings; engaged with senior management on data visualizations, strategic planning, status updates, and performance assessments.
Led critical projects from requirements gathering to change management, risk management, workflow prioritization, resource allocation, technical feasibility, proof of concept, and execution.
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Projects
Employee flight risk Prediction
Salary Optimization model
Compensation and Benefits NLP
Microstrategy Automation
Tableau custom metric feature creation