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Found 4 Skills
Build reliable data pipelines and analytics-ready datasets. USE when cleaning data, designing ETL/ELT, defining contracts, or shipping reproducible data workflows.
Submit or run an ML experiment on a compute environment (local, SLURM HPC, RunAI/Kubernetes). Use when the user wants to launch a training run, submit a job, run ablations, or execute an experiment script on any compute cluster.
Clean and transform messy data in Stata with reproducible workflows
Ingest, QC, and map reads with reproducible outputs. Use for raw read processing and coverage stats.