On the 14th, global AI data cloud company Snowflake held the finals and awards ceremony for the 'Snowflake x Streamlit Hackathon Korea', a data-based application building competition. Megazone Cloud participated in this hackathon as a sponsor and awarded a 'MacBook Air M4' to the first place winner.
This hackathon, held for the first time in Korea, was attended by 360 participants and had a heated competition. To commemorate this hackathon, participants presented platform ideas that can be applied to real life using real industry data provided by Dataknows, Loplat, and SPH through the Snowflake Marketplace and Streamlit, which supports data visualization and easy app development. Innovative entries on various topics were submitted, from predicting retail store visits to establishing marketing strategies through analysis of regional competitive environments.
Snowflake selected the four final winners by comprehensively evaluating the functionality and completeness of the ideas submitted in the final judging on that day, the usability of Snowflake technology and Streamlet, code quality, and document readability.
First place went to Naver data engineer Park Jun-ho, who implemented a stock analysis dashboard that allows individual investors to establish investment strategies by analyzing data from the Snowflake Marketplace, such as department store visit data and card spending history. He received high marks for providing objective data indicators to individual investors, who have limited access to quality information, and helping them seek to generate profits that exceed the market average.
Second place went to Minyoung Choi, a sensor data engineer at Bitsensing, who constructed a simulation strategy for analyzing Seoul's commercial districts. Based on regional card consumption history, she overcame the limitations of existing commercial district analysis tools with complicated usage methods and lowered the barriers to data-based decision-making. Following her, Jiwook Sung, a data engineer at SK C&C, who implemented the 'NexGen Index', a family-friendly commercial district analysis system based on regional data such as population data, asset income data, and HNIX Industrial Development IS Team Leader Donghyun Shim, who presented an apartment price prediction machine learning model using average apartment price data, asset income, and floating population data, took third and fourth place, respectively.
The final judging panel included Amanda Kelly, Co-Founder and COO of Streamlit and Head of Streamlit and Product Experience at Snowflake, who evaluated the technical aspects. In addition, Roplat CEO Koo Ja-hyung, SPH CTO Kim Seon-gyeong, Datanows CDO Kim Jae-goo, and Nexon Data Engineering Team Leader Lee Jae-myeon, who closely examined the creativity and storytelling of the entries as co-judges.
At the Streamlit session for participants on the day of the finals, General Manager Kelly said, “Snowflake optimizes data utilization with Streamlit, providing a data frame that allows users to deeply analyze the cause when they recognize a business problem, and helps to quickly derive insights and implement data apps.” He added, “We will actively support anyone to create and share apps in a safe environment without technical knowledge, and to realize data-based decision-making.”
Lee Su-hyeon, Evangelist at Snowflake Korea, said, “Through this hackathon, we were able to confirm the possibility that Snowflake’s powerful data platform and Streamlet’s easy app building environment can allow anyone to easily create data-based apps.” He emphasized, “We will continue to create a data platform environment where more developers and data experts can freely collaborate and innovate with non-experts.”
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