Texas Datahack 2022 was co-hosted by MLDS (Machine Learning & Data Science) and Texas Convergent, two organizations at UT Austin, and was sponsored by Oracle and Chevron. Participation was open to all students, and 22 teams competed. We had ~6.5 hours from receiving the challenge information to presentation submission. My team received first place.
Your DataHack 2022 team is part of a data science group at a private equity firm. Leadership is interested in making a significant investment in Upworthy, a viral news publishing & aggregation website. However, in the past, Upworthy has been disparaged for relying on clickbait to generate clicks, exposure, and signups. In response to this, Upworthy pledged to stop creating clickbait headlines and articles. Your firm’s executives want to invest in Upworthy, but they are skeptical about whether Upworthy genuinely changed their publishing practices or not. Using a rich dataset of A/B tests from Upworthy, your team seeks to answer the following questions:
Challenge description is taken from the Datahack 2022 Challenge Packet. Further details can be found in the two files below.
Datahack 2022 Challenge Packet.pdf
Datahack 2022 Welcome Packet.pdf
https://www.canva.com/design/DAE9aHDfGBk/8T6Zf5r14UPSl273W-EZsg/view
https://www.canva.com/design/DAE9aHDfGBk/view
https://deepnote.com/workspace/ryan-brown-f97c78a9-c6c4-4405-b6c7-0a64d06416a6/project/DATAHACK-2022-0a2u17K4SbirUCngxZOH-g/%2F--initial viz.ipynb