I am a Data Analytics Engineer with expertise in Exploratory Data Analysis (EDA) and data visualization. I use Python along with libraries like Pandas, NumPy, and Seaborn to analyze and visualize data effectively. My experience with PyTorch allows me to apply machine learning techniques for deeper insights.
I am skilled in statistical analysis and proficient with big data technologies like Apache Hadoop. I also have strong experience in managing and querying databases using MySQL. I am passionate about turning complex data into clear, actionable insights and supporting data-driven decision-making.
This Bachelor of Engineering program prepares students for expert roles or entrepreneurship in machine learning and data management within both local and global industries. The program is developed in close collaboration with the northern industry and business sector, ensuring that students gain relevant and practical skills. Students study key areas such as programming, mathematical methods, algorithm design, and data collection, from sensors to cloud technologies. The program also covers IoT and automation systems, equipping students with the knowledge to work on complex projects. Additionally, students learn project management and gain hands-on experience, preparing them to excel in various challenging international environments.
Developed and maintained Power BI dashboards, reports, and visualizations, utilizing advanced knowledge of Power BI Desktop and Power BI Service to create robust BI solutions. Applied strong data modeling concepts to ensure data integrity and efficiency. Solved complex problems and provided innovative solutions to data-related challenges.