Siming Shen

- Analyzed SPOT project data, collaborating with research teams to process oceanographic datasets and extract marine insights. - Digitized scanned PDF Cruise Logs using Google Cloud Vision API, applying advanced OCR techniques to convert unstructured data into structured CSV files. - Automated data extraction and cloud-based storage processes, improving workflow efficiency and accessibility for the team.

- Categorized hundreds of Non-Conformance Reports (NCRs) from the electric train building process into specific groups. - Identified and visualized trends and patterns in Non-Conformances frequency and distribution from Python EDA. - Collaborated with cross-functional teams to ensure the accuracy and completeness of NCR documentation, and presented findings to the quality department and executives, proposing process improvements that enhanced NCR interpretability and efficiency, aiding in future maintenance and asset condition assessments.

- Utilized Python for scraping and analyze customer-related sales data and competitor information. - Conducted EDA, modeling, and future forecasting to derive actionable insights. - Coordinated with team members to deliver high-quality data analysis and client reports. - Presented findings and strategic recommendations to clients through detailed and informative presentaions.

A career path planning and guidance program

All the works connect to dining hall, dishwash, front of house, back of house, etc.

- Conducted detailed web data collection to gather mobile phone performance data (2000 rows) using Python. - Identified and reported trends in mobile phone performance, contributing to expansion and optimization of company's database.