Hello there! I'm a Data Science Enthusiast and Business Intelligence Specialist. With a Master's in Electrical and Computer Engineering, I've dived deep into the world of data-driven insights and haven't looked back since!
When it comes to analyzing data, Python, R, and SQL are my trusty companions. I love digging into large datasets, uncovering hidden gems, and turning them into actionable insights. Whether it's wrangling data with Pandas or creating visualizations with NumPy and SciPy, I'm always up for the challenge.
My journey has led me to explore the fascinating realm of machine learning, where I've built predictive models for everything from pump failures to energy demand forecasting. It's incredible how data can tell us so much when we know how to listen!
Outside of work, I enjoy staying active through badminton, ice skating, and exploring nature through hikes.
I leverage Python, R, SQL, and Excel to effectively clean, transform, and prepare data for analysis. This includes handling missing values, correcting inconsistencies, and applying transformations to ensure data quality.
I utilize scikit-learn libraries like Random Forest and linear regression to build robust machine learning models for classification and regression tasks. This allows me to tackle complex problems and predict outcomes with high accuracy.
I craft compelling and interactive visualizations using Tableau and Power BI. My dashboards go beyond static charts, leveraging storytelling techniques to engage audiences and guide them through data insights.