Passionate data scientist with experience in analyzing large datasets and generating actionable insights to drive data-driven decision-making. Proficient in statistics, machine learning, and programming, I seek to utilize my analytical and technical skills to tackle complex challenges and deliver innovative solutions. My goal is to apply my expertise in data science to derive valuable insights that drive business growth and optimization.Key Skills:Exploratory data analysis and visualization using tools such as Python and SQL.Development of machine learning models and data mining techniques.Experience in working with libraries and frameworks like TensorFlow, Scikit-learn, and Keras.Data management and cleansing using preprocessing and transformation techniques.Strong problem-solving skills, analytical thinking, and ability to communicate results effectively to non-technical teams.Experience:My experience involves performing data analysis and machine learning modeling for projects within the banking, fintech, and payment industries. This encompasses various areas such as customer segmentation, portfolio analysis, product and merchant clustering, fraud detection, credit and debit card analytics, anti-money laundering (AML) initiatives, corporate fraud prevention, marketing strategies using ML, and enhancing insights for business intelligence (BI) through the use of various ML models.