As a proactive and versatile Data Scientist with a robust background in data analysis, machine learning, and statistical modeling, I am dedicated to leveraging data-driven insights to optimize profits, reduce costs, and enhance customer service. Transitioning from a successful career in sales management to data science, I bring a unique perspective and a wealth of experience in developing reporting dashboards, and predictive models, and enhancing sales strategies through data analytics. I recently started my MSc in Data Science at Online Manipal, a program offered by the Manipal Academy of Higher Education (MAHE). This comprehensive two-year program focuses on advanced topics in statistics, machine learning, big data technologies, and data visualization. The curriculum blends theoretical knowledge with practical experience through projects and industry interactions, providing me with the skills needed to excel in the data science field. I recently completed an intensive Data Science Bootcamp with Coding Invaders, where I honed my skills in data analysis, machine learning, and statistical analysis. I applied these concepts to real-world projects, developed machine-learning models, and effectively communicated my findings. My hands-on experience includes collaborating on team projects, participating in workshops, and utilizing predictive modeling for forecasting sales trends. I am adept at using tools such as Python (NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn), SQL, TensorFlow, and various data visualization tools to translate complex data into actionable insights. My background in sales has equipped me with exceptional communication, time management, and leadership skills, which I now apply to the field of data science. I am passionate about continuous learning and staying updated on the latest data science advancements. I am eager to bring my skills and enthusiasm to a dynamic team where I can contribute to data-driven decision-making and innovation. Skills Section: - Data Analysis: SQL, Python (NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn), TensorFlow, Google Sheets. - Statistical Analysis: Proficient in statistical methods and tools. - Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Classification, Regression, Clustering. - Soft Skills: Strong organizational and time-management skills, exceptional communication and interpersonal skills, and team collaboration. - Additional Skills: Website design, programming, photography, asset organization, leadership, budget management.