certifications

A sampling of my open-source projects that span machine learning, statistical inference, data visualization, and Kaggle competition solutions.

Microsoft Azure Certified Solution Architect Expert
Microsoft Azure Certified Data Scientist
Amazon AWS Certified Solution Architect Associate
Microsoft Certified Solutions Master: SQL Server [MCSM]
Microsoft Certified Master: SQL Server [MCM]
Microsoft Certified Solutions Expert: Data Management & Analytics
Microsoft Certified Solutions Expert: Data Platforms
Microsoft Professional Program: Data Science
Microsoft Professional Program: Artificial Intelligence
Microsoft (More...)

competencies


Data science core skills: statistics, data engineering, visualization, model building, exploratory data analysis, telling stories with data, experiment & research design, effective communication


Data science languages and applications: Python, R, Jupyter, Azure ML Service, Databricks, Azure Synapse Analytics, Azure DevOps, Git / Github, LaTeX, SQL


Machine learning domains: Regression, Classification, Time-Series, Computer Vision, Natural Language Processing, Clustering

Machine learning frameworks: SciKit, XGBoost, Catboost, LightGBM, TensorFlow / Keras, PyTorch, CNTK, MXNet


Visualization technologies: Power BI, Tableau, Matplotlib, Plotly, Seaborn, ggplot, Altair, Bokeh, Excel


Data platforms: Expert at most things SQL Server (Integration Services, Analysis Services, Reporting Services, Database Engine), Azure Synapse / Azure DW, Azure SQL, NoSQL / Azure Cosmos DB, Azure Data Factory


Database domain expertise: Database design, normalization, OLTP / OLAP modeling, Kimball (lifecycle & modeling), security, monitoring, auditing, STIG, continuity of operations, high availability, disaster recovery, query tuning, query plan analysis and performance tuning


Industry experience: Healthcare (Commercial & Federal), Legislative (Federal), Defense


Leadership: Team leadership, Interviewing, Hiring and Feedback / Coaching, Mentorship, Communication, Empathy