Mark Wee Email & Phone Number

Singapore

Singapore

• Created an efficient channel for the team of >20 analysts to extract and utilise data by assisting in the migration of 19 countries worth of data tables into Hadoop Hive Data Lake.• Developed production-level Python algorithms to handle the ETL pipeline through managing raw data from multiple sources such as data warehouses, and carefully transforming and cleaning complex data through feature engineering.• Developed production-level SQL queries to extract and transform large quantities of data (>300K rows) from the Data Lake into a concise tabular view to verify that the migration of data tables is accurate and complete.• Spearheaded research into various hashing algorithms as checksums for file uploads, minimizing the risk of hash collisions leading to failed uploads to the data lake, while optimizing for speed and security.

Singapore

• Engineered multi-faceted business dashboards using Python Dash, providing detailed analysis of >500K rows of customer data, outlining trends and comparisons of spending habits with other customers.• Researched optimization techniques and best practices to significantly reduce the dashboard computation time by 20% and improve user experience through the employment of good data visualization principles.• Automated production-level web-scraping Python scripts for two separate projects using Selenium, one of which was an urgent task to extract information of >1000 companies’ data, which was completed on the same day.• Investigated the demographics of SME environmental companies by creating a custom bag-of-words vocabulary to classify companies in the environmental sector into their industries based on their google search snippet.

Singapore

• Determine suspicious / non-compliant events by developing production-grade computer vision Convolutional Neural Network classifiers for 4 key projects to accurately classify input images from CCTV cameras.• Manufactured synthetic data to boost model generalizability and robustness by experimenting and customizing data augmentation scripts for each project.• Performed troubleshooting and continuous training of models to achieve >90% accuracy, assuring reliable and accurate classification that aligns with customer requirements.• Support deployment of models at customer sites, ensuring SLA standards are met and arranging any follow-ups actions to be conducted with the stakeholders.• Communicated effectively with stakeholders to discuss business requirements and feasibility for the models, striving to achieve customer satisfaction by meeting their needs and tailoring the models to address their concerns.

Singapore

• Coordinated and negotiated with suppliers to ensure timely delivery of required equipment• Resolved administrative issues between relevant parties to optimise manufacturing flow• Revamped and digitised existing data entry system for more efficient record keeping of assets.

Bachelor'S Degree, Data Science And Analytics

Education record

Education record