Mechanical Engineering graduate with a journey into data science and analytics that began during an Analyst Internship at McKinsey & Company. Analyzing complex datasets and providing actionable insights led to a deep passion for data and its transformative potential. This experience sparked an interest in data visualization and analytics, with a desire to understand and harness the power of data to drive strategic decisions.Recently I have immersed myself in the field of data analysis and visualization, gaining hands-on experience through various projects during a Data Science Bootcamp. Working on initiatives like fraud detection systems and movie recommender systems, utilizing Python libraries such as pandas and NumPy, has enabled the transformation of raw data into actionable insights, driving data-driven decision-making and creating impactful outcomes.My professional journey is fueled by a commitment to continuous learning and growth, pursuing certifications in IBM Data Science and Applied Data Science, as well as a Data Science Bootcamp from UpGrad. These educational pursuits, combined with practical experience in industries like automotive and consulting, have equipped a unique blend of technical skills and a keen analytical mindset.Passionate about using data to solve complex problems, optimize processes, and create value. Thrives in environments where collaboration with cross-functional teams delivers data-driven solutions that make a significant impact. Eager to contribute to innovative projects and help organizations leverage data for strategic advantage.