- Resolved GCP cost issues by conducting thorough analysis, optimizing resource utilization, and improving cost efficiency.- Collaborated across cross-functional teams to design and implement research projects, ensuring the availability of high-quality data for model development.- Provided extensive support to data scientists in terms of feature engineering, resulting in enhanced model performance and accuracy.- Investigated and resolved critical data issues, significantly improving data quality and enabling accurate analysis for marketing initiatives.- Standardized documentation and processes, promoting seamless collaboration and knowledge sharing within the team.- Implemented CI/CD pipelines for critical processes, ensuring efficiency, reproducibility, and reliability in model deployment and data management.- Evaluated and implemented deployment processes based on MLOps principles, leading to improved scalability, reusability, and optimization across projects.- Conducted in-depth research, engaged with industry experts, and facilitated workshops on MLOps to drive the adoption of best practices within the organization.- Developed an intuitive and user-friendly MLOps web application, serving as a centralized platform for monitoring, managing, and demonstrating model deployments.- Created visually captivating demos and diagrams to showcase the capabilities of GenAI, while actively collaborating with Google engineers to stay informed about the latest technologies and advancements.- Leveraged spatial data to drive innovation within the organization, successfully implementing infrastructure as code and effectively managing GCP resources.- Supported the onboarding and professional development of new team members, mentoring junior engineer and analysts to foster a collaborative and growth-oriented environment.- Cultivated strong relationships with external partners, stakeholders, and IT, facilitating seamless collaboration and efficient problem-solving.

- Collaborated with clients and analyzed feedback data to update and improve models- Designed schemes to properly prepare, clean, and organize collected raw user data- Led a team of machine learning scientists developed recommendation systems with scikit-learn and PySpark- Communicated technical methodologies, discoveries, and recommendations to executives

- Developed and implemented reporting service using C# with entity framework and EPPlus modules- Designed the database schema and data model pipeline to improve data clarity and efficiency- Created UI and UX designs for web application based on past user data- Performed testing and generated reports with visualization of feedback data

- Performed quality assurance for Saks.com Product Detail Redesign project- Created test cases and executed test scenarios based on business requirements- Developed Python scripts to verify queries from Mongo databases- Presented visualization of test results to provide clients with business insights