Dynamic and detail-oriented Software Engineer specializing in Machine Learning, Deep Learning, and Data Science. With a solid foundation in Python, Flask, TensorFlow, and Scikit-learn, I develop data-driven applications and predictive models that address real-world challenges. My experience spans a range of impactful projects, including a Multi-Label Ocular Disease Detection System, sentiment analysis, breast cancer prediction, and stock price forecasting.I am skilled in SQL, Git, and data preprocessing, with a focus on feature engineering and statistical analysis to build scalable, accurate models. By leveraging advanced deep learning techniques, I ensure that my solutions are both robust and user-friendly, supporting better decision-making and enhancing user engagement. My goal is to achieve quantifiable results that drive meaningful insights and contribute to business goals.If you’re seeking someone who can translate complex problems into actionable, data-driven solutions, let’s connect!