Results-driven professional with a strong commitment to continuous learning and innovation. Proven ability to leverage analytical skills and creativity to develop high-impact solutions in dynamic environments. Demonstrates exceptional adaptability and interpersonal skills, thriving in both independent and collaborative settings. Eager to embrace new challenges and contribute to organizational success.
System upgrades and management
PCOS Prediction Using Machine Learning Techniques, The main aim of the project is to predict the Poly-Cystic Ovarian Syndrome which occurs mainly in women of reproduction age. The machine learning algorithms such as Naïve Bayes and Cat Boost classifiers were used to build a training testing model. This model helps in predicting the syndrome in its early stage.