• Responsible for performing data annotation to image and managing it according to a specific procedure (SOP) to improve the accuracy of a detection model.• In charge of checking result quality for each detection result sent by the user to monitor the AI model’s performance and accuracy.• Responsible for developing tools specifically designed for downloading data from cloud blob storage. These tools will be utilized by the AI Team to collect data, which will then undergo preprocessing and be used for training machine learning models. This tool has helped the team to get the data more efficiently.• Conduct an analysis of existing data used to train our machine learning model. Develop tools to balance the data and eliminate excessive labels, enhancing data quality and preventing the overuse of resources.

• Developed a Power BI dashboard for merchandiser optimization study to help business user to make decision on hiring new merchadiser, resulting in a 10% decrease in cost.• Develop an Automated solution of Key Monthly Activity (KMA) end-to-end from create a data pipeline in Azure Data Factory, write a python code for data ETL using Azure Databricks and create Power BI reports Utilizing Complex DAX Calculate function to create measure and data transformation using Power Query to display KMA dashboard and form submission data for merchandiser activity. This new Automation process has saving 20 hours per week.• Develop PowerBI Report Automation for WIES Score Card. Utilizing Complex DAX to create measure. This report helps COE and CM to analyze their performance for their own KPI.• Migration of Power Bi Dashboard data source from oData to Azure Data Lake using Power BI service Dataflow. Resulting data load and refresh by 70% faster.• Developed a Machine Learning model for NLP multi-class text classification for product harmonization. Reducing the timefor manual mapping and human error by 50%.

● Developed a project monitoring system for the Engineering Department.● Attended the IT-related issues faced by other employees within various departments with the help of IT executives.● Assisted programmer in preparing face recognition attendance system.● Prepared written documentation of the project monitoring system.