In my role at a healthcare-focused startup, I am deeply involved in designing, developing, and deploying advanced AI models to improve patient outcomes through predictive analytics:1. Advanced AI Modeling: Lead the development of AI models for patient readmission prediction, integrating cutting-edge research on temporal dependencies and large language models for accurate, time-sensitive data analysis.2. Research Application: Use groundbreaking research to inform model architecture, especially for handling temporal data, adapting new methodologies from recent scientific papers to enhance predictive capabilities.3. Technical Proficiency: Proficient in using AWS technologies across the complete machine learning project lifecycle, including AWS Bedrock for scalable training and AWS Athena for data management.4. End-to-End Development and Deployment: Oversee all stages of machine learning development— from data preprocessing and model training to deployment and optimization—ensuring reliability, scalability, and security.5. Innovation and Collaboration: Work with cross-functional teams to integrate AI solutions into healthcare systems, focusing on practical, user-friendly innovations.6. Federated Learning Strategy: Implement federated learning for decentralized model training across multiple facilities, maintaining data privacy and enhancing learning capabilities without compromising patient data.This role allows me to use my expertise in machine learning and cloud technologies to drive significant advancements in healthcare technology, focusing on predictive analytics to reduce patient readmissions and improve care delivery.

In my role at GW's Academic Commons within the STEM Academy, I specialize in providing advanced statistical analysis and data consultation to students, faculty, and staff:1. Statistical Expertise: Deliver personalized support using a variety of statistical software and programming languages including R, Python, STATA, SAS, and SPSS. My focus is on enhancing users' proficiency and helping them apply these tools to their research and academic projects.2. Workshop Participation: Actively assist in and sometimes lead workshops designed to enhance the academic community's data handling and analysis capabilities. This includes preparing materials and examples that illustrate complex statistical concepts.3. Software Proficiency: Continuously expand my knowledge and skills in additional tools such as GIS software, MATLAB, and Tableau, ensuring I can provide comprehensive support across various data analysis platforms.4. Professional Development: Engage with learners to develop their critical thinking and technical skills, fostering a deeper understanding of statistical methods and their applications in real-world scenarios.5. Collaborative Environment: Work closely with a team of data consultants to offer a robust support system for the GW community, ensuring high-quality service and academic success.This role not only allows me to apply my statistical knowledge and technical skills extensively but also contributes significantly to my professional growth in data science and analytics within an academic setting.

As an RPA (Robotic Process Automation) developer in the telecom industry, my duties involve automating various processes to enhance operational efficiency and improve customer experience. Here are some of the key responsibilities:1.Process Assessment: I analyze existing telecom processes, identify areas where automation can be implemented, and evaluate the feasibility of automation.2.Design and Development: I design RPA solutions using industry-standard tools and frameworks. This includes developing automation workflows, configuring software robots, and integrating them with existing systems.3. Workflow Automation: I create and deploy software robots (also known as "bots") to automate repetitive tasks such as data entry, invoice processing, customer onboarding, service provisioning, and billing.4.System Integration: I collaborate with cross-functional teams to integrate RPA solutions with various telecom systems and applications, such as customer relationship management (CRM) systems, billing platforms, network management systems, and data warehouses.5.Testing and Debugging: I conduct thorough testing of the RPA solutions to ensure they meet the required quality standards. This involves identifying and resolving any bugs or issues that arise during the testing phase.6. Maintenance and Support: I provide ongoing maintenance and support for the deployed RPA solutions, monitoring their performance, and making necessary adjustments or enhancements as required. I also assist in troubleshooting and resolving any issues that arise during day-to-day operations.7. Continuous Improvement: I constantly seek opportunities to optimize and improve existing automation solutions by analyzing performance metrics, gathering user feedback, and identifying areas for refinement or expansion.

Completed training under 'Infogro Technlology' supported by Skill Development Centre, TCS_ION. Successfully completed the assigned project and gathered knowledge on "python".