About
I’m @okkuun (Takafumi Okukubo).
Currently, I work at a Japanese company as a data analytics engineer.
My interests include DataOps, dbt, and probabilistic modeling.
My Accounts
Skills
- Python, R, SQL
- Azure (Azure Data Factory, Azure Databricks, Synapse Dedicated SQL Pool)
- Tableau
- Probabilistic modeling, Bayesian inference
Education
- March 2021, Master’s degree in Service Science, University of Tsukuba.
- March 2019, Bachelor’s degree in Science and Engineering, University of Tsukuba.
Work Experience
- Data Scientist, Yamato Transport Co.,Ltd. (April 2021 - April 2023)
- Reserch Assistant, National Institute of Advanced Industrial Science and Technology (AIST). (July 2019 - March 2021)
Publications
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Okukubo, T., Bando, Y., & Onishi, M. (2022). Traffic Prediction During Large-scale Events Based on Pattern-aware Regression. Journal of Information Processing, 30, 42-51. [pdf]
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Okukubo, T., Bando, Y., Onishi, M., & Ando, H. (2021). Foot Traffic Prediction for Large-Scale Events Based on Pattern-Aware Neural Regression, Proceedings of AAAI 21 Workshop on AI for Urban Mobility (2021). [pdf]
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石渡崇晶, 奥窪隆文, & 本多理紗. (2021). ベイジアンネットワークを用いたホテル推奨意思決定プロセスの顧客層別モデリング. 産業・組織心理学会 第 36 回大会発表論文集, 89-92.
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石渡崇晶, 奥窪隆文, & 本多理紗. (2020). 傾向スコアを用いた商品・顧客層別の広告効果分析. In 人工知能学会全国大会論文集 第 34 回全国大会 (pp. 1I3GS202-1I3GS202). 一般社団法人 人工知能学会. [pdf]
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奥窪隆文, 城根信吾, 大西正輝, & 安東弘泰. (2020). 確率密度関数による人数変動の表現手法. システム制御情報学会研究発表講演会講演論文集, 64, 317-321.
Qualifications
- Microsoft Certified: Azure Data Scientist Associate (DP-100) (Descember 2022)
- Microsoft Certified: Azure Data Engineer Associate (DP-203) (September 2022)