def METHOD_NAME(quiz_uuid):
    # Find the user's postal code and cast to an integer for lookup in the lrf_data table.
    # This will need to change if postal codes with letters are added later and the data type in the lrf_data table changes.
    score = Scores.query.filter_by(quiz_uuid=quiz_uuid).first()
    if score:
        try:
            postal_code = int(score.postal_code)
        except (ValueError, TypeError):
            # non integer values are not supported yet
            return None
        engine = create_sqlalchemy_engine(echo=True)
        with engine.connect() as con:
            # Check if postal code is in lrf_data table and create a list of values
            result = con.execute(
                "SELECT * FROM lrf_data WHERE lrf_data.postal_code=?",
                (postal_code,),
            ).fetchone()
            if not result:
                return None
            db_postal_codes = list(result)
            # Get the column names from the lrf_data table and create a list of names
            columns = con.execute(
                "SELECT COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME='lrf_data'"
            )
            column_names = columns.fetchall()
            column_names_list = []
            for name in column_names:
                column_names_list.append(name[0])
        if db_postal_codes:
            # Create a dictionary of lrf data for the specific postal code where the lrf_data table column names
            # (the postal code and the IRIs) are the keys matched to the lrf_data table values for that postal code.
            short_IRIs = [get_iri(long_iri) for long_iri in column_names_list[1:]]
            lrf_single_postcode_dict = dict(zip(short_IRIs, db_postal_codes[1:]))
            return lrf_single_postcode_dict
        else:
            return None