diff --git a/python/tests/api/logger/test_segments.py b/python/tests/api/logger/test_segments.py
index b9a76afed3..6be7669f3a 100644
--- a/python/tests/api/logger/test_segments.py
+++ b/python/tests/api/logger/test_segments.py
@@ -250,3 +250,34 @@ def test_multi_column_segment() -> None:
     count = segment_distribution.n
     assert count is not None
     assert count == 1
+
+
+def test_multi_column_segment_serialization_roundtrip(tmp_path: Any) -> None:
+    input_rows = 35
+    d = {
+        "A": [i % 7 for i in range(input_rows)],
+        "B": [f"x{str(i%5)}" for i in range(input_rows)],
+    }
+
+    df = pd.DataFrame(data=d)
+    segmentation_partition = SegmentationPartition(name="A,B", mapper=ColumnMapperFunction(col_names=["A", "B"]))
+    test_segments = {segmentation_partition.name: segmentation_partition}
+    results: SegmentedResultSet = why.log(df, schema=DatasetSchema(segments=test_segments))
+    results.writer().option(base_dir=tmp_path).write()
+
+    paths = glob(os.path.join(tmp_path) + "/*.bin")
+    assert len(paths) == input_rows
+    roundtrip_profiles = []
+    for file_path in paths:
+        roundtrip_profiles.append(read_v0_to_view(file_path))
+    assert len(roundtrip_profiles) == input_rows
+    print(roundtrip_profiles)
+    print(roundtrip_profiles[15])
+
+    post_deserialization_view = roundtrip_profiles[15]
+    assert post_deserialization_view is not None
+    assert isinstance(post_deserialization_view, DatasetProfileView)
+
+    post_columns = post_deserialization_view.get_columns()
+    assert "A" in post_columns.keys()
+    assert "B" in post_columns.keys()
diff --git a/python/whylogs/migration/converters.py b/python/whylogs/migration/converters.py
index d36e0b7cb1..8d15e70aa1 100644
--- a/python/whylogs/migration/converters.py
+++ b/python/whylogs/migration/converters.py
@@ -76,8 +76,8 @@ def _generate_segment_tags_metadata(
 
         segment_tags = []
         col_names = partition.mapper.col_names
-        index = 0
-        for column_name in col_names:
+
+        for index, column_name in enumerate(col_names):
             segment_tags.append(SegmentTag(key=_TAG_PREFIX + column_name, value=segment.key[index]))
     else:
         raise NotImplementedError(
@@ -138,6 +138,11 @@ def v0_to_v1_view(msg: DatasetProfileMessageV0) -> DatasetProfileView:
             }
         )
 
+    if msg.properties.tags:
+        logger.info(
+            f"Found tags in v0 message, ignoring while converting to v1 DatasetProfileView: {msg.properties.tags}"
+        )
+
     return DatasetProfileView(
         columns=columns, dataset_timestamp=dataset_timestamp, creation_timestamp=creation_timestamp
     )
@@ -225,10 +230,15 @@ def _extract_dist_metric(msg: ColumnMessageV0) -> DistributionMetric:
     kll_bytes = msg.numbers.histogram
     floats_sk = None
     doubles_sk: Optional[ds.kll_doubles_sketch] = None
+    # If this is a V1 serialized message it will be a double kll sketch.
     try:
         floats_sk = ds.kll_floats_sketch.deserialize(kll_bytes)
     except ValueError as e:
         logger.info(f"kll encountered old format which threw exception: {e}, attempting kll_doubles deserialization.")
+    except RuntimeError as e:
+        logger.warning(
+            f"kll encountered runtime error in old format which threw exception: {e}, attempting kll_doubles deserialization."
+        )
     if floats_sk is None:
         doubles_sk = ds.kll_doubles_sketch.deserialize(kll_bytes)
     else: