Expertise

Passion for start-ups with the flexibility to adapt to opportunities. I combine advanced analytical skills with business acumen to drive data-informed decision making across organizations.

Professional Experience

Senior Data Scientist – Aetna, a CVS Health Company

• Led the development, deployment, and performance tracking of maternity-related campaign and risk models.
• Implemented scalable SQL models deployed by Python DAG leveraging frameworks such as scikit-learn and GCP to enhance campaign success measurement and product impact
• Developed, deployed and owned a novel, clinical model that outperformed all previous clinical research-backed results by improving specificity by 12%
• Assessed value of two previously unmeasurable campaigns and then achieved full buy-in from many verticals to initiate refreshes for both campaigns leading to 35% ROI
• Consolidated numerous complex campaign analyses into a simple-to-understand executive summary leading to YoY cost reduction of 8%

Co-Founder and Chief Data Officer - Success Schools

• Co-founded startup that contracted with public and private school systems to provide turnkey operations for challenging student populations. Oversaw all finance and information technology. Developed and managed startup’s IT infrastructure and financial operations, including accounting and regulatory compliance mechanisms.
• Boosted revenue by 150% year-over-year through data-driven operational improvements
• Implemented comprehensive data collection systems to track student performance and program effectiveness

Vice President of Analytics - eLayaway

• Established advanced analytics function for online payments startup company, including building eLayway’s analytical engine. Analyzed future revenue and cost streams. Leveraged insights to develop finance optimization strategies.
• Performed advanced customer analysis to enhance marketing effectiveness and customer retention
• Contributed to 7% increase in angel investment capital within one year through data-backed growth projections

Technical Skills

• Programming Languages: Python, R, SQL, MATLAB, C, C++, BASH
• Python Libraries: Spark, TensorFlow, Dash, Pandas, SciKit Learn, Selenium, Plotly, Seaborn
• R Packages: Tidyverse, Shiny, Stargazer
• Data Visualization: Tableau, ggplot2, matplotlib, seaborn, Plotly
• Machine Learning: Regression, Classification, Clustering, Time Series Analysis, BigQueryML
• Big Data Technologies: Hadoop, BigQuery, Spark
• Cloud & DevOps: Google Cloud (Vertex AI, Vertex AI Pipelines), AWS, Jenkins, Airflow
• Statistical Software: Stata, SPSS, Mathematica
• Other Tools: Git, Excel

Data Science Approach

I believe in using data science to create meaningful impact by:

• Uncovering causal relationships rather than just correlations
• Translating complex analytical findings into actionable business insights
• Building scalable data solutions that grow with organizational needs
• Fostering data literacy across teams and departments