Hadi Ghaderian

• Designed and deployed end-to-end machine learning pipelines for smart irrigation decision-making using weather station data, soil moisture sensors, and remote imagery.
• Automated data ingestion from APIs and websites with Python to support live models and Power BI dashboards.
• Developed automated data quality systems in Python to identify missing values, outliers, and inconsistencies for reliable insight generation.
• Created advanced image analysis workflows using ArcGIS Pro and custom Python algorithms to quantify vegetation and evaluate crop performance.
• Consolidated and visualized data from SQL databases, Excel, APIs, GIS, and sensor streams in Power BI, enhancing executive reporting efficiency.
• Collaborated with researchers and industry professionals to align data workflows with experimental designs for impactful publications.
• Streamlined inventory and shipping record management through automation with Microsoft Power Apps and SQL databases, minimizing errors.
• Executed UAV imagery collection missions, integrating aerial data with ground truth for improved spatial modeling.

Oversaw data entry and retrieval using SQL, ensuring efficient access to structured datasets.

• Performed data cleaning and validation from multiple sources to enhance analysis quality.
• Conducted descriptive analysis to uncover patterns and trends for process optimization.
• Supported end-to-end data pipeline operations by verifying and transferring logistics data.
• Maintained data accuracy through regular audits, resolving inconsistencies with on-site teams.
• Communicated analytical findings and data issues to stakeholders, facilitating informed decision-making.

Collected and recorded operational and logistics data across multiple sites using digital tools.

• Ensured accurate and timely data capture in diverse field environments for central integration.
• Trained new team members on delivery protocols and standardized data collection procedures.
• Developed best practices for field operations to improve compliance and reduce errors.

Trained new line cooks on safe, efficient use of kitchen automation systems.

• Ensured operational readiness of all hardware and automation systems at shift changes.
• Conducted routine system checks and troubleshooting to maintain service reliability.
• Promoted technology adoption and digital workflows to streamline food preparation.

Planned monthly fertilization, irrigation, and harvest schedules using real-time data and historical trends.

• Conducted research on plant species compatibility by analyzing environmental and agronomic data.
• Monitored plant health and soil characteristics to proactively address pest, disease, and nutrient issues.
• Led a team of over 10 employees, overseeing hiring, training, and performance management.
• Applied data analysis techniques to integrate environmental factors with plant health metrics for decision support.