Data Scientist
As I conclude my journey at NXP, I’m proud to share the diverse set of skills I’ve developed, blending data science with business analytics.Python Programming: Use of Pandas, Numpy, and Matplotlib to perform data analysis and visualization, turning data sets into actionable insights.Data Science Lifecycle: Hands-on experience through every phase of the data science process, including data mining, cleaning, exploration, and visualization, transforming raw data into actionable insights.PowerBI Expertise: Integrated various data sources to construct analytics framework. Data editing, cleaning, and visualizations to meet specific business needs.Writing custom themes (JSON) and pbix templates to enable standardised reporting.Writing instructions and creating presentations on how to work with PowerBI for other team members.Database Management: Competent in using MySQL for efficient data storage and retrieval.OLAP Knowledge: Gained insights into OLAP for enhanced data analysis.Additional Tools: Versatile use of Docker, CollabNet, Power Automate Flow, Linux, and graphic design to support data projects and improve workflows.
