Yashika Patil

Research & Development Intern at New Bedford Research & Robotics

Operated and developed vision-driven automation pipelines integrating ABB GoFa 6-DOF robot and Cognex vision camera, achieving 98% pick-and-place accuracy in real-time operations. Implemented object detection and tracking (shape recognition, centroid/edge detection) for 6-DOF manipulation, aligning with industrial automation requirements. Built trajectory-forecasting workflows to predict and grasp moving objects, demonstrating feasibility for conveyor-based applications while testing robustness with camera and lighting simulations. Prototyped custom robotic components using Rhino7 CAD and 3D printing, integrating ABB GoFa with a Cognex vision camera. Collaborated with industry partners on computer vision applications for quality inspection in food processing, applying ML workflows to practical production settings. Communicated technical concepts to non-technical audiences during open houses, lab demos, and a public ribbon-cutting event with an ABB GoFa robot.

Data Scientist at Yoshops

Built and validated ETL workflows in SQL and Python to clean, merge, and validate 100k+ records, ensuring data consistency across ML and reporting pipelines. Developed Power BI and Excel dashboards to visualize business trends, generate ad-hoc/monthly reports, and automate recurring reporting tasks. Conducted A/B testing and data quality checks on queries and ML workflows to identify bottlenecks, optimize pipelines, and contribute to data-driven decision-making. Automated data extraction, preprocessing, and quality monitoring in SQL/Python, reducing manual effort, speeding up reporting and model deployment, and improving analytics accuracy. Designed and documented data lineage, metadata, and reporting requirements, creating reproducible pipelines and supporting compliance and knowledge sharing. Collaborated with business stakeholders, ML engineers, and IT teams to translate complex requirements into structured datasets, pipelines, and reports enabling scalable AI/ML solutions.

Research & Development Intern at New Bedford Research & Robotics

Operated and developed vision-driven automation pipelines integrating ABB GoFa 6-DOF robot and Cognex vision camera, achieving 98% pick-and-place accuracy in real-time operations. Implemented object detection and tracking (shape recognition, centroid/edge detection) for 6-DOF manipulation, aligning with industrial automation requirements. Built trajectory-forecasting workflows to predict and grasp moving objects, testing robustness with camera/lighting simulations. Prototyped custom robotic components in Rhino7 CAD and 3D printing, integrating ABB GoFa with Cognex camera. Collaborated with industry partners on computer vision applications for quality inspection in food processing, applying ML workflows to production settings. Communicated technical concepts to non-technical audiences during open houses, lab demos, and a public ribbon-cutting event with an ABB GoFa robot.

Data Scientist at Yoshops

Built and validated ETL workflows in SQL and Python to clean, merge, and validate 100k+ records, ensuring data consistency across ML and reporting pipelines. Developed Power BI and Excel dashboards to visualize business trends, generate ad-hoc/monthly reports, and automate recurring reporting tasks. Conducted A/B testing and data quality checks on queries and ML workflows to identify bottlenecks, optimize pipelines, and contribute to data-driven decision-making. Automated data extraction, preprocessing, and quality monitoring in SQL/Python, reducing manual effort, speeding up reporting and model deployment, and improving analytics accuracy. Designed and documented data lineage, metadata, and reporting requirements, creating reproducible pipelines and supporting compliance and knowledge sharing. Collaborated with business stakeholders, ML engineers, and IT teams to translate complex requirements into structured datasets, pipelines, and reports enabling scalable AI/ML solutions.

Research & Development Intern at New Bedford Research & Robotics

Operated and developed vision-driven automation pipelines integrating ABB GoFa 6-DOF robot and Cognex vision camera, achieving 98% pick-and-place accuracy in real-time operations; implemented object detection and tracking algorithms (shape recognition, centroid/edge detection) for 6-DOF manipulation; built trajectory-forecasting workflows to predict and grasp moving objects; prototyped custom robotic components using Rhino7 CAD and 3D printing; collaborated with industry partners on computer vision applications for quality inspection in food processing; communicated technical concepts to non-technical audiences during open houses, lab demos, and a public ribbon-cutting event with an ABB GoFa robot.