def sql_query_to_pd(sql_query_string: str, db_name: str ='default.db') -> pd.DataFrame:
    '''Execute an SQL query and return the results as a pandas dataframe

    Args:
        sql_query_string (str): SQL query string to execute
        db_name (str, optional): Name of the SQLITE Database to execute the query in.
                                 Defaults to 'default.db'.

    Returns:
        pd.DataFrame: Results of the SQL query in a pandas dataframe
    '''    
    # Step 1: Connect to the SQL DB
    con = sqlite3.connect(db_name)

    # Step 2: Execute the SQL query
    cursor = con.execute(sql_query_string)

    # Step 3: Fetch the data and column names
    result_data = cursor.fetchall()
    cols = [description[0] for description in cursor.description]

    # Step 4: Close the connection
    con.close()

    # Step 5: Return as a dataframe
    return pd.DataFrame(result_data, columns=cols)