I am a highly motivated and results-oriented researcher with a strong foundation in physics and a passion for leveraging data science to solve real-world problems. My research in thin film fabrication and magnetic characterization led to a publication in the prestigious Physical Review B (PRB) journal, titled "Rashba spin-orbit interaction induced modulation of magnetic anisotropy." I played a key role in this publication by conducting data analysis, developing a novel program that reduced weeks of manual analysis to a single click, significantly expediting the research process.Throughout my research career, I honed my skills in:-Experimental techniques: XRD, SQUID, PPMS, PLD, and THz spectroscopy.-Data acquisition, analysis, and visualization: Utilizing tools like Origin and LabVIEW.-Programming: Notably, I used LabVIEW to automate data analysis tasks, reducing processing time by 90% and minimizing human error. This experience highlights my ability to learn new languages and adapt to different technical environments.Driven by my passion for data science, I completed a comprehensive Data Science course from Coding Invaders, gaining proficiency in:Programming languages: SQL and Python.Statistics and machine learning fundamentals.I actively seek opportunities to apply my analytical skills and scientific background in data-driven roles within the Finance or IT industries. I am particularly interested in positions where I can leverage my expertise in data analysis and automation to improve efficiency and drive informed decision-making. As a lifelong learner, I continuously expand my knowledge through online courses and personal projects, ensuring I stay at the forefront of data science advancements.Connect with me if you're interested in collaborating on data-driven projects or exploring opportunities in the data science field within Finance or IT.Highlights:-Published research in PRB journal: Demonstrating expertise in data analysis, model fitting, and scientific writing.-Developed a program that reduced weeks of work to a single click: showcasing advanced data analysis and automation skills.-Reduced data processing time by 90%: highlighting efficiency through automation.-Proficiency in scientific tools and programming languages: Enabling efficient data acquisition, analysis, and automation.-Completed Data Science course: Equipping me with essential skills in SQL, Python, statistics, and machine learning.-Lifelong learner: Committed to continuous learning and staying at the forefront of data science advancements.