Danty Cook

About Danty Cook

Career-changing data professional building reliable pipelines and decision-ready insights with SQL and Python, with a long-term focus on Analytics Engineering and Data Engineering.I’m completing a B.S. in Data Analytics at Western Governors University (expected Spring 2026; target Jan–Feb 2026). My portfolio work blend analytics, data transformation, and applied machine learning, including- Data engineering foundations: ETL/ELT pipelines in Python + SQL (cleaning, validation, transformation, repeatable workflows), using Git/GitHub for version control and basic automation- Analytics & BI: dashboards and reporting in Tableau and Power BI for trends, KPIs, and operational performance- Analytics engineering: shaping raw data into consistent, well-defined datasets (data modeling concepts, documentation, and data quality testing—schema checks, row counts, null thresholds) that bridge engineering and analysis- Applied ML: scikit-learn pipelines (PCA, clustering, Random Forest) with reproducible experimentation (e.g, MLflow)I also hold CompTIA Data+, A+, Network+, Project+, CIOS, and ITIL v4, and I bring hands-on experience from IT support, process automation, and operational reporting—skills that translate directly to troubleshooting data issues, improving reliability, and communicating clearly with stakeholders.I’m open to Data Analyst, Analytics Engineer, and Junior Data Engineer roles where I can help teams build trustworthy data, scalable reporting, and clean data products that drive better decisions.Keywords: SQL • Python • ETL/ELT • Data Pipelines • Relational Databases • PostgreSQL • Data Cleaning • Data Validation • Data Quality Checks • Data Modeling • Analytics Engineering • Reporting Automation • Tableau • Power BI • Excel • Git/GitHub • FastAPI • scikit-learn • MLflow

Experience

1. Ai Trainer (Contract) Project Hedgehog

   Handshake

   Mar 2026 — Present

   Handshake AI Fellowship ProgramAs part of the Handshake AI Fellowship, I contribute to the development of multimodal artificial intelligence systems by completing project-based AI training tasks.Responsibilities include:* Evaluating and annotating audio, image/video, and text data used to train machine learning models.* Applying structured evaluation guidelines to improve model reasoning, alignment, and response quality.* Maintaining a baseline quality score through accurate and consistent task completion.* Working independently on flexible project-based assignments while meeting evolving quality standards set by partner AI labs.This work provides hands-on experience supporting the training and refinement of production AI systems.

Education

• Pellissippi State Community College

  Associate’s Degree, Media Technology, Web Design/Development

  2010 — 2017

• Western Governors University

  Bachelor of Science - BS, Data Analytics

• American InterContinental University

  Associate’s Degree, Business Administration, Information Systems