Janice C. Email and Phone Number

• Conducted extensive research on anti-money laundering (AML) solutions to identify emerging trends and best practices in the field• Developed and enhanced computer systems, software, and databases of AML solutions for clients to ensure compliance with relevant regulations and industry standards• Customized both front-end and back-end of the latest SAS Visual Investigator software and existing AML software to meet clients' specific needs• Collaborated with cross-functional teams to integrate AML solutions into existing systems and workflows, ensuring a seamless user experience• Conducted rigorous testing and validation to ensure the accuracy and reliability of AML systems and software• Continuously monitored and updated AML systems and software to improve their performance and adapt to changing regulatory requirements and client needs

• Built a comprehensive collection of smart home solutions, including fire, water leakage, weather, and human activities detection systems• Designed and developed cutting-edge sensors and algorithms to detect potential fire hazards, water leaks, and weather-related risks in real-time• Leveraged machine learning and computer vision techniques to develop human activity detection systems that could identify and alert homeowners to potential security threats• Conducted extensive testing and validation to ensure the accuracy and reliability of the smart home solutions

• Built a patient risk detection system using AI to detect undesirable and dangerous patient movement in real-time• Leveraged machine learning algorithms to analyze patient movement and issue early warnings to nurses for further action• Collaborated with healthcare professionals to identify key risk factors and develop targeted algorithms for early detection of patient risk• Developed a user-friendly interface to enable nurses to quickly and easily respond to patient risk alerts• Conducted extensive testing and validation to ensure the system's accuracy and reliability

• Assisted in enhancing and developing the consumer price index (CPI) by conducting detailed desktop research on online purchases• Built and developed computer systems and databases to collect, store, and analyze online price data for CPI calculations• Utilized Python to build web scrapers that automatically extracted pricing data from various websites for CPI analysis• Collaborated with cross-functional teams to ensure accurate and timely reporting of CPI data• Utilized statistical analysis and data visualization techniques to support CPI analysis and reporting