● Provided data forecasting and strategy to clients/government for making a strategic decision on urban planning/environmental protection/preservation. ● Acted as a business analyst to acquire clients' needs, initiated planning, and utilized the cutting edge of methodologies in the fields to improve the quality of the data analysis model. ● Used Python programming skills to process data cleaning and build a machine learning model with clementine to reduce 80% time of the manual process. ● Acted as a data scientist to lead the team to complete data model building with abundant knowledge of machine learning algorithms, to have an eye to capture abnormal numbers in the reports to assist team having well fit on the model training. ● Acted as a project manager to lead several cross-functional teams for 4 big projects. Applied team-working skills to coordinate between the teams and clients, provided value-add suggestions/feedback when the obstacles faced to the team. Project types are including: •Geospatial Data Analysis (GIS) •Web/App Development •AI Model Prediction → Environmental Pollution Exploration(RNN), Image Classification(BPP)