Giang Luong H. Email & Phone Number

Ho Chi Minh City, Vietnam

• Develop and deploy applications on Power Platform: Build and deploy custom Power Apps to improve workflows and optimize business performance. Integrate Power Automate to automate repetitive processes, minimizing errors.
• Manage and develop RPA solutions: Design, develop, and maintain business process automation bots (RPA) using tools like UiPath or Power Automate Desktop. Integrate RPA solutions with existing ERP and CRM systems to.
• Optimize workflows: Analyze and improve current workflows using Power BI to create dynamic reports, providing insights that help departments make quick and accurate decisions.
• Technical support and training: Provide technical support, guidance, and training to end-users on using Power Apps and RPA solutions, ensuring they effectively and efficiently utilize the tools.

• Use Python, R, and SQL for data mining, and build dashboards for internal use and project management.
• Collect data and develop metrics for management reporting.
• Use Python, R to automatically extract data from websites.
• Build automation tools with VBA and Google Apps Script.
• Develop automation functions and tools using platforms like Make, n8n, Anycross, Power Automate for client projects.
• Design automation tools as required by projects.

• Organize and build source code for small to medium-sized projects related to Python, R, VBA, and Apps Script.
• Execute automation projects for clients on the n8n platform.
• Develop reports, data statistics, and visualizations using R as agreed with partners.
• Provide remote training for learners in Python, R, and SAS.
• Develop dashboards using Power BI, R, combined with SQL for remote clients.
• Clean, evaluate, and build predictive models suitable for client datasets.

• Collect and evaluate measurable and verifiable data.
• Conduct statistical analysis and fine-tune using test results.
• Mine data from internal databases and visualize it.
• Deploy machine learning models on internal datasets.
• Analyze raw data using tools such as R, SQL, Python, Pyspark, Pandas.
• Analyze and create reports using SAS language.

• Analyze project and business performance metrics.
• Support in developing basic evaluation metrics for direct management.
• Convert data into charts and visualizations.
• Identify key and useful findings from statistics for reports.
• Utilize data analysis tools.
• Data transformation.

Bachelor, Computer Science

Artificial Intelligence And Data Science

Education record