Umut Mengu

<p>Built a full pipeline from data collection through cleaning, modeling, and automated PDF reporting, cutting manual overhead by 70%.<br>
Trained a scikit-learn regression model for real-time CO2 emission prediction with 80%+ accuracy.<br>
Delivered a Streamlit dashboard enabling stakeholders to identify a 15% emissions reduction pathway.</p>

Built a full pipeline from data collection through cleaning, modeling, and automated PDF reporting — cutting manual overhead by 70%., Trained a scikit-learn regression model for real-time CO2 emission prediction (80%+ accuracy); delivered a Streamlit dashboard enabling stakeholders to identify a 15% emissions reduction pathway.

<p>Built an end-to-end Python ETL pipeline ingesting live sensor data.<br>
Validated 1,000+ data points in real time.<br>
Reduced reporting effort by 60%.<br>
Eliminated a key manual bottleneck.<br>
Analyzed visual inspection data to track defect metrics at ±0.2 mm precision.<br>
Identified root causes that improved safety scores by 80%.<br>
Directly informed engineering corrective actions.<br>
Designed operational dashboards used daily by the engineering team to monitor production KPIs across cross-functional stakeholders.</p>

Built an end-to-end Python ETL pipeline ingesting live sensor data, validating 1,000+ data points in real time — reducing reporting effort by 60% and eliminating a key manual bottleneck., Analyzed visual inspection data to track defect metrics at ±0.2 mm precision; identified root causes that improved safety scores by 80%, directly informing engineering corrective actions., Designed operational dashboards used daily by the engineering team to monitor production KPIs across cross-functional stakeholders.

<p>Wrote and optimized complex SQL queries to extract and analyze operational data across 500+ retail stores.<br>
Surfaced patterns that informed executive-level reporting.<br>
Translated stakeholder business requirements into data models and reporting structures.<br>
Architected the data layer of an internal reporting tool.<br>
Significantly reduced manual report preparation time.</p>

Wrote and optimized complex SQL queries to extract and analyze operational data across 500+ retail stores, surfacing patterns that informed executive-level reporting., Translated stakeholder business requirements into data models and reporting structures; architected the data layer of an internal reporting tool, significantly reducing manual report preparation time.

<p>Restructured the nonprofit’s digital data flow and information architecture.<br>
Laid the groundwork for traffic and engagement analytics across performing arts programs.<br>
Received a formal recommendation letter.</p>