Ido Azaria

• •Taught end-to-end DS/ML (EDA, feature engineering, model selection, evaluation, etc...); supervised capstones from problem framing to app/demo.

• • Enforced reproducibility (envs, Git branching) and code quality via reviews and rubrics.

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Authored reference guides improving task completion and assessment performance.

• • Explains complex models plainly; high trust with non-technical stakeholders.

• • Designed data capture for experiments and product telemetry; prioritized evidence-based iterations.

• • Created decision logs and lightweight LMS artifacts to share findings across the team.

• • Built sustainability analytics (KPIs/dashboards) and Python automations for reporting.

• • Prototyped calculators (impact/circularity) and simple ETL to consolidate disparate data.

• • Documented assumptions and data contracts to align non-technical stakeholders.