I hold a Bachelor's degree in Biotechnology, where I built a solid foundation in the principles of biology and laboratory techniques. Now, as a Master’s student in Bioinformatics and Data Science, I’ve expanded my skill set to include advanced data analysis, machine learning, and deep learning, with proficiency in Python and R. My unique blend of wet lab experience and computational skills enables me to approach biological problems from both experimental and data-driven perspectives, empowering me to contribute meaningfully to research in genomics, precision medicine, and biotechnology. Throughout my academic journey, I've gained proficiency in programming languages such as Python and basis of R, which I use to perform complex data analysis, machine learning, and deep learning tasks. My skills extend to data visualization, where I can turn large datasets into actionable insights, making data-driven decisions more accessible.I am also proficient in MATLAB fundamentals and have a solid understanding of using Excel and basic statistics to handle and analyze data efficiently. My analytical mindset, coupled with my ability makes me to contribute to innovative projects and drive meaningful impact in the fields of data analytics, machine learning, and beyond.