I am a proven data scientist with a strong aptitude for rapid learning, analytical thinking, and problem-solving. I recognize data trends and unique insights that drive business creativity. My extensive experience in data science and research has equipped me with the ability to utilize analytical, statistical, and numerical tools in Python and R to extract valuable insights from data. I have thorough knowledge in machine learning and artificial intelligence, covering supervised, unsupervised, and reinforced learning. I am skilled in statistical inference, hypothesis testing, Bayesian statistics, and generalized regression. I look forward to applying data science techniques to innovative and data-driven companies.
Engaged in scientific research using data science techniques within the realm of medical sciences, including developing innovative tools for personalized medicine, and contributing to population studies.
Served as the Project Lead in the creation of a WebSIG platform in 6 different cities, facilitating collaborative mapping initiatives using applied statistics and data science principles.
Led research projects in the realm of open-source hardware, overseeing technological initiatives.
Conducted advanced studies on planet host M stars utilizing data science tools.
Focused on M dwarf stars and their exoplanets, using data science methodologies to analyze and model data.
Doctor of Philosophy (Ph.D.) in Astronomy
Master of Science in Physics
Bachelor of Science Degree in Physics
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