I am a Data Scientist at Mastercard, where I use data science and visualization skills to generate insights that inform business decisions. I have close to two years of experience in data analysis, project management, and stakeholder communication, working across various domains and industries. I have a strong foundation in statistical analysis, programming, and data manipulation, using tools such as Python, MySQL, Tableau, Power BI, and Jira. I am proficient in applying machine learning and deep learning algorithms, such as regression, classification, SVM, decision tree, k-means, Ada Boost, CNN, RNN, and GAN, to solve complex data problems. I am also a Medallia Certified Analyst and a Udacity Nanodegree holder in Deep Learning. My ultimate goal is to become a Data Scientist, and I am actively working towards acquiring the necessary skills and knowledge to make this a reality. I am a passionate learner, constantly seeking new challenges and opportunities to expand my skills. I am committed to delivering high-quality work that exceeds expectations and drives meaningful impact. I thrive in collaborative environments and am always eager to learn from and share knowledge with my peers. If you're looking for a dedicated and skilled data professional to join your team, I would love to connect and learn more from you!