Mohammad Osman

Background

About Mohammad Osman

Passionate about data-driven insights and healthcare outcomes, I am a dedicated professional with a strong academic foundation in biostatistics and a keen interest in data science. With a Master's degree in Biostatistics and a Bachelor's degree in Biology, I have developed a deep understanding of statistical programming and data analysis, honing my skills in SAS, SPSS, Python, SQL and more. My experience as an Associate Data Scientist at Visionet Systems has equipped me with hands-on expertise in handling large datasets, performing data manipulation, and utilizing Python libraries for predictive analysis and machine learning applications. I am well-versed in working with Google Cloud Platform, Apache Airflow, and PowerBI, leveraging cutting-edge tools to drive data insights and enhance decision-making. During my time as a Research Intern at Columbia University, I delved into qualitative research, focusing on the impact of COVID-19 on families as part of a longitudinal research study. I effectively applied SAS for statistical modeling and analysis, showcasing my ability to prepare data, perform descriptive analyses, and develop advanced statistical models. Beyond my technical skills, I have expanded my professional horizons through the Interprofessional Education Program at ETSU, fostering a collaborative mindset and a commitment to achieving healthcare-focused goals as part of a diverse team of healthcare professionals. My passion lies in utilizing data to address critical challenges in healthcare and beyond. I thrive on extracting meaningful insights from complex datasets, applying my skills to contribute positively to research and decision-making processes. As an analytical thinker achieving academic excellence in my Master's degree, I am driven to excel and continuously pursue opportunities for growth. With an evolving, diverse skillset and background, I have continuously adapted to the needs of the data domain in a rapidly changing landscape. I am eager to connect with fellow data enthusiasts, biostatisticians, and professionals in the data science and analytics community. Let's collaborate and explore how data can revolutionize our world and make a meaningful impact on people's lives.