Motivated Data Scientist with extensive experience in leveraging advanced analytics, machine learning, and statistical methodologies to extract actionable insights from large datasets. Expertise in designing and implementing data models, performing data mining, and enhancing data quality and integrity. Proficient in programming languages such as Python and R, with a solid background in database management and data visualization tools like SQL, Tableau, and Power BI. Proven ability to communicate complex data insights to stakeholders, driving strategic decision-making and business growth. Adept at working in cross-functional teams to develop innovative solutions for optimizing AI and machine learning projects. Passionate about using data to solve real-world problems and enhance organizational performance. Key skills: • Programming: Python, Java, SQL, Algorithms and Data Structure. • Machine Learning Frameworks: TensorFlow, Scikit-learn, XGBoost. • Statistics: Hypothesis Testing, A/B tests, Parametric and non-Parametric tests. • Neural Networks: Tensorflow, Keras, Pytorch. • Big data: AWS, Hadoop, Spark. • Data Analysis Libraries: Pandas, Numpy. • Data Visualisation Tools: Tableau, PowerBI, Matplotlib, Seaborn, Plotly.