I am a passionate and results-driven .NET Developer and Data Scientist with a strong background in designing, developing, and maintaining web applications and software solutions. I have expertise in both software development and data science, allowing me to provide innovative, data-driven solutions that meet business needs.
With experience in a variety of .NET technologies, including ASP, C#, and Entity Framework, I specialize in delivering high-quality, scalable, and secure applications. I also have a strong foundation in data analysis, machine learning, and statistical modeling, using tools such as Python and SQL to extract insights and drive data-informed decisions.
My expertise includes both front-end and back-end development, using technologies such as JavaScript, HTML, CSS, and Angular for front-end and C# and SQL Server for the back end. In data science, I work with machine learning frameworks like TensorFlow and Scikit-learn and employ data visualization tools such as Power BI and Tableau.
I am skilled in agile methodologies and enjoy collaborating with cross-functional teams to create innovative solutions that bridge the gap between development and data science.