I am a motivated and aspiring data scientist with a deep understanding of machine learning algorithms, including both supervised and unsupervised techniques. I have hands-on experience in analyzing complex datasets to derive actionable insights, and I specialize in predictive modeling and optimization. In my role as a Data Science Consultant Intern, I led a project that improved sales effectiveness by implementing advanced machine learning models, resulting in a 10% increase in conversion rates and a 50% reduction in report generation time. My proficiency in Python, Numpy, Pandas, and data visualization tools like Tableau allows me to efficiently analyze and present data-driven solutions.Alongside my professional experience, I hold a Bachelor's degree in Computer Science and have earned multiple certifications in data science, including from IABAC and NASSCOM. I am skilled in applying statistical analysis, regression techniques, and data preprocessing to solve real-world problems. I am eager to collaborate with teams to develop solutions that optimize processes, improve decision-making, and drive innovation through data. With strong skills in problem-solving and critical thinking, I am ready to contribute meaningfully to projects that harness the power of data for impactful results.