Throughout my academic and professional journey, I've cultivated a diverse skill set in software engineering and data science, focusing on software development, data analytics, and advanced data modeling. Notably, I've contributed to the development of algorithms for real-time price forecasting in the energy sector, utilizing various statistical and data science methodologies.
I've played a key role in optimizing computational processes within enterprise systems, including the migration of systems to the cloud using Microsoft Azure, Databricks, Data Factory, and DevOps. I have experience in software engineering, statistics, data science, object-oriented programming, algorithms and data structures, computational statistics, predictive modeling, time series analysis, and more. I am skilled in languages such as C++, R, Python, and Java, as well as tools like SQL, Git, SVN, Azure, DevOps, and Databricks.
Outside of work, I maintain an active lifestyle, enjoying activities such as swimming and football, while also seeking knowledge and inspiration through reading.
