Open to Data Scientist & ML Engineer roles
Tenicka Norwood.
I build AI systems that are reliable, safe, and explainable. 7+ years in data science. 5 IEEE publications. 36+ people managed. Currently researching privacy-preserving federated learning for healthcare.
Experience
Ph.D. Candidate, Data Science
DISCS Lab — Graduate Research
Conducting research on privacy-preserving federated learning, swarm intelligence, and trustworthy AI in healthcare under Dr. Uttam Ghosh.
- Developing SwarmClinical: PSO-based orchestration for non-IID federated learning
- Architecting multimodal Digital Twin fusing time-series with clinical narratives
- Published FairSwarm library on PyPI for fair coalition selection
- 3 accepted papers at IEEE SoutheastCon 2026
Data Analyst I
Booz Allen Hamilton
Performing exploratory data analysis, building ML models for classification and regression, and developing deep learning architectures for structured and unstructured data applications.
- Automated reporting solutions for data-driven client engagements
- Built and evaluated ML models with rigorous feature engineering and validation
- Developed deep learning architectures using PyTorch and TensorFlow
Senior Consultant, Data Visualization & Applied AI
Excella Consulting
Benchmarked LLM performance, engineered metadata frameworks, and designed A/B testing for AI-driven insights serving federal agency clients.
- Benchmarked LLM chat applications against Microsoft Copilot
- Engineered data taxonomies for AI recommendation agents
- Won Excella Iron Viz award for custom D3.js visualization
Assistant Principal, Learning & Development
NYC Department of Education
Built statistical models to identify at-risk students and automated data processing workflows across 6+ consortium high schools.
- Improved graduation rates from 68% to 90% using data-driven interventions
- Automated data workflows integrating disparate educational databases
- Established data governance protocols for student data privacy compliance
Skills
Honest self-assessment — including where I'm still growing
Strong
- Python — 7+ years, primary language across all roles
- PyTorch — FairSwarm, neuro-symbolic, graph anomaly detection
- Power BI — semantic models, DAX, federal client dashboards
- Federated Learning — FairSwarm on PyPI, SwarmClinical, Flower
- SQL / ETL — pipelines at NYC DOE, Excella, BigQuery for MIMIC
- Team Leadership — 36+ people managed across two organizations
Moderate
- TensorFlow / Keras — CNNs for medical imaging
- D3.js — won Iron Viz, not daily driver
- MongoDB — EduCore platform backend
Gaps — I'll Tell You
- Snowflake — BigQuery is her cloud warehouse
- Spark / PySpark — limited production use
- Kubernetes — no orchestration experience
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