I I am Hanibal Sahle, an experienced data scientist with a strong background in research and machine learning. My expertise lies in analyzing complex datasets, developing innovative models, and driving data-driven decision-making. I am skilled in programming languages such as C/C++, Python, R, and SQL, Java, and have a proven track record of successfully implementing machine learning algorithms to solve complex business challenges.

During my time as a Data Analyst Intern at The Reflect Organization, I conducted in-depth analysis of data representation models, leading to actionable recommendations that improved data visualization techniques and enhanced decision-making. Additionally, as a Machine Learning Research Assistant at Engage AI, I contributed to enhanced insights by staying at the forefront of advanced analysis techniques. I successfully launched and implemented a highly efficient U.N. Database, gathered diverse data through scraping techniques, and trained machine learning models for advanced analytical methodologies.