Thank you for your hard work and writing this Reeba! @Danielle Syse <s...@google.com> - could we please share this on Beam's social channels?
On Wed, Sep 13, 2023 at 10:54 AM Danny McCormick via dev < dev@beam.apache.org> wrote: > Thanks for all your hard work this summer Reeba! I've really enjoyed > getting to work closely with you, and I know that Beam and its users are > better off because of your contributions. > > Thanks, > Danny > > On Wed, Sep 13, 2023 at 1:01 PM XQ Hu via dev <dev@beam.apache.org> wrote: > >> The blog looks great! Thanks for doing this and I hope you have learned a >> lot! Thanks a lot to Danny for your support! >> >> On Wed, Sep 13, 2023 at 12:58 PM Reeba Qureshi <reebaq...@gmail.com> >> wrote: >> >>> Hi everyone >>> >>> I have completed Google Summer of Code 2023 with Apache Beam, where I >>> worked on developing real-world ML use cases using Beam. Thank you Danny >>> for your constant support! I wrote a blog summarizing my journey, available >>> here >>> <https://medium.com/@reebaq2/real-world-ml-use-cases-apache-beam-gsoc-2023-report-edeb313d43ba> >>> . >>> >>> Here are the use cases I built during the summer: >>> 1. Batch Image Processing | GitHub >>> <https://github.com/reeba212/beam/blob/master/examples/notebooks/beam-ml/image_processing_tensorflow.ipynb> >>> 2. Streaming Sentiment Analysis | GitHub >>> <https://github.com/reeba212/beam/blob/master/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb> >>> 3. Batch Speech Emotion Recognition | GitHub >>> <https://github.com/reeba212/beam/blob/master/examples/notebooks/beam-ml/speech_emotion_tensorflow.ipynb> >>> >>> I had a great experience and look forward to contributing more. >>> >>> Thanks, >>> Reeba >>> >>
