Usharani Sahoo

Experience in utilizing Python, along with numpy and pandas libraries, for generating multiple reports. Proficient in geospatial analysis, employing segmentation techniques such as the Segment Anything model and Ramer-Douglas-Peucker algorithms for agricultural field segmentation. Proficient in leveraging Power BI to develop visually compelling dashboards, enabling effective data visualization and analysis.

Developed a cutting-edge diet plan recommendation engine specifically designed for cancer patients, aimed at streamlining patient care and reducing manual effort. Developed a predictive model to estimate the lead time required for patients with malnutrition to transition from a state of inadequate nourishment to a well-nourished condition.

Worked on a retail price optimization project, utilizing advanced model building techniques including linear regression, decision trees (e.g., Random Forest), and gradient boosting (e.g., XGBoost).