Yeersen Shatewakasi

1. Developed Power BI dashboards tracking KPIs of 27 global suppliers, enhancing data-driven decisions in performance management. 2. Reduced shipment delays by 28% via daily client coordination and an Excel-based tracking system for early issue detection. 3. Managed weekly reporting for 6 departments with Coman, Next One, and Excel, achieving 93% milestone adherence. 4. Developed an AI tool centralizing project data from Confluence, enabling management to query and retrieve documents.

1. Optimized experimental data acquisition through dynamic sampling frequency adjustment and application of an anti-aliasing filter, eliminating 98% of high frequency noise and aliasing. 2. Applied MIDAS regression combined with ML in Matlab to enhance alignment accuracy of high- and low-frequency sensor data to 87%. 3. Designed a robust industrial data management system using SQL, reducing query and experiment report generation time for 500,000+ records to under 6 seconds, while ensuring data integrity.

1. Designed an NLP pipeline in Python to classify 600,000+ industrial alarms, cutting manual workload by 98% through pre-labeling and classification. 2. Applied Active Learning with domain expertise to detect common fault types, then used LDA topic modeling to categorize additional sparse data. 3. Trained and fine-tuned a BERT model with pre-labeled dataset, achieving 95% accuracy and 0.06% Hamming Loss on imbalanced multi-label tasks, boosting scalability for unseen categories.

1. Diagnosed and repaired computer-controlled mechanical systems. 2. Analyzed DCS/PLC downtime data to identify root causes of abnormal pump vibration, designed shims in SolidWorks to correct shaft misalignment, reducing vibration alarm frequency by 18%.

1. Measured 3 bottlenecks in production line using Minitab. 2. Provided supply chain solutions using SAP ERP data analysis in Excel and lead time visualization in PowerPoint, reducing delays and contributing to a ~20% increase in production volume.

1. Analyzed key on-site data in Excel and implemented targeted corrosion prevention measures, extending equipment lifespan. 2. Conducted ultrasonic NDT to detect potential internal metal corrosion without halting production, reducing downtime by 15%.

Master of Science

Bachelor of Science