Data Scientist in Computer Vision

Led end-to-end research projects, including proposal creation, stakeholder reporting, and legal documentation.Managed data collection and transformation efforts with 9 private hospitals and a team of over 10 doctors.Developed AI models for TB diagnosis using medical images (X-rays) and worked on vision transformers to enhance model performance.Maintained effective communication between government and private hospitals and prepared comprehensive reporting documents.

• Computer Vision Project Lead: Orchestrated a project focused on X-ray image analysis, witha focus on heart and lung segmentation. Employed YOLOv8 techniques, along with tools likeRoboflow and Labelme, for precise image annotation.• High Accuracy: Attained an impressive 99• Technical Proficiency: Proficiently utilized OpenCV, Pillow, NumPy, and Pandas for imageprocessing and data manipulation, playing a vital role in project success.• Code GitHub – https://shorturl.at/jAHS0 — Medium Article – https://shorturl.at/oqHX8

• Responsible for end-to-end implementation of KPI in 7 entities.• Created the documents for training and stage-wise implementation of KPI.• Had regular team meetings to discuss the progress of the project, plan for risksPuneProject 1 (SAAS Product marketing)• Responsible for end-to-end project coordination from initiating, planning, executing, monitoring & controlling the closing phase.• Maintaining healthy stakeholder engagement throughout the project life cycle, to meet the objectives.• Effectively manage a cross-functional team comprising Software developers, graphics designers, legal, accounting, perches and marketers.• Regular interaction with the customer for approvals/ time extensions/ escalations/ deviations/ concessions during various stages of the project.• Close monitoring of procurement activities by participating in techno-commercial discussions and working closely with the procurement and legal teams for project success.• The sole responsibility for arranging design submissions, reviews, technical meetings & securing approvals from customers.• Conduct periodic team meetings to review the status of activities, anticipate risks/ bottlenecks & work response strategies required under such circumstances.• Created the required agreements for the deal-making.• and bottlenecks, and develop any necessary reaction tactics.• Created a systematic plan for the diverse teams to adapt to the new strategic• changes and help the scrum implementation in the organization.• Special Q&A section and backlog section for successful implementation of KPI and scrum.