I am a data scientist with a distinctive academic background that combines a degree in English and prior studies in mathematics. My experience with mathematics, particularly statistics, laid the foundation for my passion for data science and machine learning (DSML). This interdisciplinary perspective enables me to merge analytical rigor with exceptional communication and storytelling skills—essential for transforming data into actionable insights.Educational Background:-Bachelor’s Degree in English: Developed critical thinking, research, and communication skills.Studies in Mathematics (partial BSc): Built a solid foundation in statistical concepts, essential for data analysis and machine learning.Data Science Certification: Acquired expertise in Python, SQL, Power BI, and machine learning through practical, hands-on projects.Technical Skills:-Programming: Python, SQLData Handling: Data cleaning, exploration, and statistical analysisMachine Learning: Feature engineering, model development, evaluation, and optimizationData Visualization: Power BI, Matplotlib, and SeabornTools: Jupyter Notebook, Google Colab, MySQLProfessional Development:-I have completed a comprehensive data science course, refining my proficiency in Python, SQL, and machine learning while engaging in practical projects. Currently, I am deepening my knowledge in deep learning to broaden my expertise further.My ability to articulate complex technical insights clearly, combined with a passion for continuous learning, makes me a valuable team member. Let’s connect to explore opportunities where data science drives impactful storytelling and informed decision-making.