Analytical Data Analyst with experience in leveraging SQL and Python to extract insights from complex datasets. Strong track record of collaborating with teams to create impactful reports using data visualization tools, driving informed decision-making.
Uber Data Analysis, Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Performed data cleaning, preprocessing, and created insightful visualizations using Python libraries. Analyzed historical Uber ride data to uncover trends in ride frequency, peak hours, and popular pickup/drop-off locations. Movie Data Analysis, Cleaned and preprocessed raw data using Python (Pandas, NumPy) to handle missing values, duplicates, and data type conversions. Provided actionable insights about which genre has the highest number of viewers and other actionable insights.