Biography

Know thyself - γνῶθι σεαυτόν

Hi, I’m Yuma Uchiumi, a data science consultant in a consulting company. I was born on December 8, 1997 in Tokyo, Japan. My current interests are the algorithmic marketing and cognitive problems with human thinking. 👻 🍭 🦄 🌈 ⛅ ✨

keywords: Statistical Modeling, Machine Learning, Algorithmic Marketing, Marketing Science, Cognitive Science

Work

Full-time Job
  • Data Science Consultant, Accenture (Dec. 2023 – Present)
    Accenture Strategy & Consulting Data-AI Group. Japan Tokyo Office.
  • Data Science Analyst, Accenture (Apr. 2022 – Nov. 2023)
    Accenture Strategy & Consulting Applied Intelligence Group. Japan Tokyo Office.
Part-time Job
  • Teaching Assistant, Keio University. (Oct. 2020 – Jan. 2021)
    I was TA on a class for the real-time robot control using the physics simulator CopperiaSim in Fall semester 2020.
  • Summer Intern in Data Engineering, Yahoo Japan Co., Ltd. (Aug. 2020 – Sep. 2020)
    I worked in bigdata analysis at the Finance Office Headquarters Development Division DD Room. I conducted an association analysis on log data on the Web and proposed some marketing measures.
  • Data Science Intern, DATAWISE, inc. (Apr. 2020 – Dec. 2020)
    I worked on analyzing the GPS data of mobile phone users in data science team. Specifically, I worked on improving the algorithm that estimates the total population from location data of NTT docomo users, crawling and batch processing public data, and building backend apps on GCP.
  • R&D Intern, ARAYA, inc. (Jul. 2018 – Mar. 2020)
    I was engaged in the R&D project for the computational cost of the Deep Neural Nets. I’ve surveyed related papers and conducted some PoC implementations and experiments on it.
  • PwC Analytics Hackathon, PwC Japan Group (Dec. 2020)

Education

  • MS in Computer Science (Apr. 2020 - Mar. 2022), Center for Information & Computer Science, School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, Japan. (Link)
  • BE in Computer Science (Apr. 2016 - Mar. 2020), Department of Information & Computer Science, Faculty of Science and Technology, Keio University, Japan. (Link)

Publications

International Conference
  1. Yuma Uchiumi, Yuki Abe, Michita Imai. Disentangled Motion Representation Learning for Video Encoding and Generation. 2021 International Symposium on Intelligent Unmanned Systems and Artificial Intelligence (SIUSAI 2021). April 19-21, 2021. Singapore. (Best Student Paper)
Domestic Conference (Japan)
  1. Yuma Uchiumi, Yosuke Fukuchi, Mitsuhiko Kimoto, Michita Imai. A Top-down Penetration to the Visual Attention via Elimination of the Ambiguity. The 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2021). Jun. 8-11, 2021. Virtual Conference.
  2. Yuma Uchiumi, Michita Imai. A Computation of Visual Attentions on the Stochastic Model Using the Fisher Information Matrix. The 30th Annual Conference of the Japanese Neural Network Society (JNNS 2020). Dec. 2-5, 2020. Virtual Conference.
  3. Yuma Uchiumi, Yuki Abe, Takuma Seno, Michita Imai. Unsupervised Motion Feature Extraction in Video via Bi-directional GAN. The 34th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2020). Jun. 9-12, 2020. Virtual Conference.
  4. Yuma Uchiumi, Yuki Abe, Takuma Seno, Michita Imai. Motion Disentangled Bidirectional GAN Human-Agent Interaction Symposium (HAIS 2020). Mar. 6-7, 2020. Virtual Conference.
Theses
  1. Yuma Uchiumi. (2022). Dynamic Cognitive Models for the Temporal Evolution of Interpretation Results in the Visual Disambiguation. Master’s thesis. Graduate School of Science and Technology, Keio University.
  2. Yuma Uchiumi. (2020). Disentangled Motion Representation Learning for Video Encoding and Generation. Bachelor’s thesis. Department of Information & Computer Science, Keio University.

Technical Skills

  • Programing Languages:
    • Python, Ruby, PHP, Java, SQL.
  • DevOps Tools:
    • Git, Docker, Kubernetes.
  • Web Frameworks:
    • Ruby on Rails, Vue.js, Node.js.
  • Cloud Services:
    • AWS (EC2, S3, Lambda, Amplify, Sagemaker).
    • GCP (ComputeEngine, CloudFunctions, CloudStrage, BigQuerty, AppScript).

Qualifications

  • Grade 1, Applied statistics (Natural Science) - Japan Statistical Society Certificate. Japan Statistical Society (JSC). Dec. 2019.
  • Big Data Analysis with Scala and Spark - Coursera.org (EPFL). Jun. 2022. 8B2PDQVPPQSP.
  • Scaling Python for Data Scientist - DataCamp. May. 2022.

Personality

  • Top5 of Clifton Strengths - “Strategic”, “Learner”, “Ideation”, “Individualization”, “Analytical”. (2022)
  • GlobeSmart Profile - “Independent”, “Egalitarian”, “Certainty-oriented”, “Direct”, “Task-oriented”. (2022)
  • MBTI - INTP-A Type; “Introverted”, “Intuitive”, “Thinking”, “Perceiving”. (2022)