Data Scientist: GenAI/RAG, Healthcare & Telecom

David Alden

Data Scientist ML, Gen AI & Health Care Analytics

Newberry, FL 352-***-**** *************@*******.*** 10+ yrs

Healthcare & Telecom

0.05 AUC

Churn Model Lift

14% to 10%

Forecast MAPE

900 hrs

Quarterly Staffing Savings

PROFESSIONAL SUMMARY

Data Scientist with over a decade of experience in healthcare and telecom, specializing in machine learning, analytics, forecasting, GenAI/RAG, and production model operations. Recognized for building churn-risk, demand forecasting, anomaly detection, and healthcare risk models that improve decision quality, reduce operational effort, and translate complex data into executive-ready business impact. TECHNICAL EXPERTISE

Python & SQL: Advanced SQL, Pandas, APIs, Git ML: Scikit-learn, PyTorch, TensorFlow, forecasting, classification, clustering, anomaly detection

GenAI & RAG: Prompt engineering, Hugging Face,

LangChain/LlamaIndex, embeddings, vector search

MLOps: MLflow, monitoring, drift checks, experiment tracking, CI/CD, observability, data quality

Cloud: AWS, Azure, Docker, Kubernetes, containerized inference, infrastructure as code

Analytics: A/B testing, causal inference, hypothesis testing, metric design, ETL/ELT, executive storytelling

PROFESSIONAL EXPERIENCE

Verizon Data Scientist New York, NY Mar 2023 - Present Drove creation of a churn-risk model using customer tenure, application usage, and engagement interactions; improved AUC by 0.05 and supported adoption across 3 departments.

Built network anomaly detection features from time-windowed telemetry and alarms, reducing false positives by 18% while maintaining recall for priority incidents.

Integrated forecasting models that reduced staffing forecast MAPE from 14% to 10%, saving nearly 900 staffing hours quarterly and supporting team planning.

Deployed an internal RAG assistant over troubleshooting documentation using embeddings and vector search, increasing first-pass issue resolution by 9% and trimming average handle time by 30 seconds. Hardened model operations with MLflow tracking, drift checks, and automated data quality tests, reducing production alert noise by 35% and cutting diagnosis time from hours to under 30 minutes.

CVS Health Data Scientist Woonsocket, RI Oct 2019 - Feb 2023 Championed risk stratification models for prescription adherence, informing targeted outreach programs that decreased hospital readmission rates among high-risk patients by 3%.

Rolled out demand forecasting models for pharmacy inventory, improving prescription demand forecast accuracy by 14% over 3-month planning windows while guiding 3 junior analysts.

Built SQL-based cohort analyses across 200K+ patients, identifying adherence drivers and informing outreach strategies that improved patient outcomes.

Launched automated ETL validation for claims and member tables, covering schema, null-rate, and outlier rules while eliminating 2 recurring manual steps each week.

Standardized deployment with Docker and Kubernetes, enabling 3 new model deployments and improving reliability for real-time prediction workflows.

GE HealthCare Data Scientist Chicago, IL Jul 2015 - Sep 2019 Conceived a risk-scoring system for imaging devices using maintenance logs and sensor-derived features, delivering a verified 17% boost in early- warning accuracy.

Developed anomaly detection rules and ML baselines for imaging workflow quality signals, decreasing engineering escalations by 12% through faster triage and stronger root-cause evidence.

Designed Python and SQL pipelines processing 500K+ equipment records monthly, reducing manual data preparation to under 4 hours per week. Pioneered model performance evaluations across 3 sites, improving workflow efficiency by 18% and increasing stakeholder adoption of ML-driven insights.

Introduced experiment tracking and versioned datasets, shortening regression investigations from 2 days to same-day resolution during release cycles.

EDUCATION

Master of Science in Computer Science University of Florida 2015 - 2017 Bachelor of Science in Computer Science University of Florida 2011 - 2015

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