Samuel Yaula Dutse's Linkedin Analytics

I am a dedicated Data Professional with a strong background in advanced analytics, statistical methods, and Machine Learning. My passion lies in transforming data into actionable insights to solve complex problems and provide solutions. I possess a comprehensive skill set, including proficiency in Python (Pandas, NumPy, Seaborn, Matplotlib, Statmodels, Scipy, Scikit-learn, Datasist), Git, and R, and a solid grasp of Relational Database Management with Microsoft Access, Microsoft SQL Server, MySQL, postgreSQL My expertise extends to data visualization tools such as Tableau, Power BI, and Looker, as well as a wide array of machine learning algorithms, including Linear Regression, Logistic Regression, Decision Tree, Random Forest, K Nearest Neighbor, Support Vector Machine, and K-Means. I have a strong foundation in data analysis, predictive modeling, statistical modeling, hypothesis testing, and data modeling. My data science journey is a continuous evolution, and my plans include delving deep into the exciting world of deep learning. With a curious mind and a drive to make a meaningful impact, I aim to explore the possibilities and applications of deep learning in solving complex problems and driving innovation. From my experiences as a Physics teacher and examiner, I have honed my communication and data-tracking skills. My education, including a B.Sc. in Physics from the University of Jos, has provided a solid foundation for my data-driven career. I am enthusiastic about the opportunities that data science and deep learning offer. I actively engage with the data science community, attend meetups, and continuously seek growth opportunities. Let's connect and explore how my expertise in data analysis and my future explorations in deep learning can benefit your organization or projects. I'm here to turn data into actionable insights, drive positive change, and embrace the challenges of tomorrow's data-driven landscape.