Andy Ong Zeng Jie Email & Phone Number

Singapore

• Led and mentored a team of 3-5 apprentices to successfully create an AI Minimum Viable Model (MVM) for solving diverse business problems. - Developed an Alternative Credit Scoring System leveraging Grocery Transaction.
• Participated in the pre-sales scoping of AI projects, working closely with potential clients to understand their business needs and requirements.

Singapore

• Involved in 100Experiments, Time Series Anomaly Detection ( TSAD). Written pipelines to transform Time Series data, and LSTM Auto Encoder Models to forecast and detect anomalous periods.
• Developed Music Generator using LSTM as capstone project. Worked in a team of 3 apprentices, and generate Music with various genres using LSTM.
• Deployed various models (such as CNN and LSTM) using Flask and Docker.
• Designed and implemented end-to-end data pipelines for cleaning, preparing, and transforming raw data into model-ready data for machine learning projects.
• Integrated CI/CD (Continuous Integration/Continuous Deployment) pipelines into the data pipeline, enabling automated builds, testing, and deployment of data pipelines to ensure efficient system integration.

Singapore

• Involved in In-House project, forecasting of in-house server metrics. Analysed metrics and presented findings to stakeholders. Forecasted metrics using RNN/CNN models and display predictions in dashboard using Plotly..
• Automated RedMart purchases using TagUI (RPA) as part of deep-skilling’s curriculum.
• Analysed various types of datasets (Tabular and Non- Tabular) using Python and data analysis tools like Pandas, NumPy and Matplotlib.
• Created dashboard on Cancer in Singapore dataset using Tableau

Singapore

• Automated SQL queries required by other departments for error analysis or information extraction using Java. Eliminate manual process of querying database in server rooms, lightening workload of department.
• Monitored daily Extract, Transform and Load (ETL) workflows using Autosys. Reported any failures in workflows to ensure operational capabilities.
• Tested SQL queries to ensure no logic change during database migration. Cross-checked outputs from both databases to ensure that database migration is performed without changes to SQL queries logic.