Detail-oriented professional skilled in data analytics and visualization. Proficient in C++ and Python, with experience collaborating on team-based projects.
Analyzed a coffee sales dataset using Python's Pandas library to clean the data, calculate key metrics, and derive insights The project involved checking for missing values and duplicates, then aggregating sales by product name, time of day, and date Final steps included data sorting and visualization using Matplotlib to show total sales by weekday
Data Analysis Project Summary (Netflix Titles)Executed a data cleaning and analysis project on a Netflix titles dataset using Python and Pandas. The work involved data inspection and handling missing values by imputing 'Unknown' or 'Not listed' for various fields like director, cast, and country. Key insights were generated by calculating the distribution of titles by content type (Movie/TV Show) and viewer rating, culminating in visualizations using Matplotlib to clearly present the findings.