Have you used pandas?

Yes, I have used pandas extensively in several projects. In my most recent role, I used pandas to clean and transform raw CSV data into a format suitable for analysis. I performed tasks such as handling missing values with fillna and dropna, merging multiple datasets using merge and concat, and grouping data with groupby to compute aggregate statistics. I also leveraged vectorized operations and boolean indexing to filter and transform large datasets efficiently. For time series data, I used pd.date_range, resample, and rolling to perform resampling and moving window calculations. Additionally, I have experience exporting processed data to Excel and SQL databases using to_excel and to_sql. My familiarity with pandas’ DataFrame and Series APIs allows me to write clean, readable code and troubleshoot performance issues by profiling with tools like pandas.set_option('display.max_rows', None) and df.info().