Andy Ong Zeng Jie Email & Phone Number

Singapore

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 Data. MVM includes a end-to-end pipeline, from data collection and preprocessing to model training and deployment, integrating Continuous Integration/Continuous Deployment (CI/CD) workflows for streamlined development process.• 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. Users will be able to monitor server metrics using dashboard. • 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.