Open to Summer 2027 internships and 2028 new-grad roles

Sotaro Ichii · Statistics, UC Berkeley

Turning messy data into systems people can rely on.

I'm a Statistics student at UC Berkeley who builds data pipelines and web products end to end, from ingestion and normalization to deployment. I co-founded IDEAVALU, a launch platform for Japanese indie developers, and I'm on a CITRIS research team mapping Physical AI in healthcare. Native Japanese, business-fluent English.

pipeline.run()ingest → serve
APIsWeb scrapingDatabasesNormalizeValidateQuarantineAnalysisUsers
How I approach data: ingest, normalize, validate, then serve.RawValidatedRejected
registered users on IDEAVALU
364
products launched on IDEAVALU
283
sources in IDEAVALU's ingestion pipeline
5
GPA at Orange Coast College
3.82

The rigor of a statistician, the ownership of an engineer.

I study Statistics at UC Berkeley's College of Computing, Data Science, and Society. Before transferring in Fall 2026, I studied computer science at Orange Coast College (GPA 3.82, President's List).

Most of what I build starts with messy data: listings from five platforms with different formats, external API feeds, and product usage logs. I enjoy the unglamorous work of making that data consistent, testable, and trustworthy, then measuring whether a change actually worked and reporting the result honestly, even when it is negative.

As a native Japanese speaker with business-fluent English, I've built products for users in both Japan and the United States.

What I bring

01

Data engineering

Ingestion from APIs and web sources, normalization of inconsistent data into consistent, queryable formats, and automated reporting.

02

Statistics and analysis

Coursework in probability, statistical computing in R, and data science, applied to product questions such as retention measured in production SQL.

03

Full-stack product development

Built and launched a production platform on Next.js, TypeScript, Supabase (Postgres), and Vercel with a team of four, and keep it running for real users.

04

Evidence-driven communication

Hypothesis-driven iteration measured in production data, with findings explained clearly to non-technical stakeholders in English and Japanese.

Research and teaching

  1. Sep 2026 – Present

    Berkeley, CA

    Research Project Member

    UC Berkeley Data Discovery Program (CITRIS)

    • Member of the research team on "Mapping the Robotic Humanoid and Physical AI in Healthcare Ecosystem," surveying companies, technologies, and use cases. Findings are presented to CITRIS Health senior leadership.
    • Built a data collection tool that gathers information through an external API and structures it into a consistent format, replacing manual collection so the team can focus on analysis.
    ResearchPythonAPI integrationPhysical AI
  2. Aug 2025 – May 2026

    Costa Mesa, CA

    Mathematics Tutor

    Orange Coast College, Student Success Center

    • Tutored college-level linear algebra, calculus, and statistics in both English and Japanese.
    Linear algebraCalculusStatistics

Selected work

Designed, built, and run with real users and real data.

IDEAVALU

Live

Launch platform for Japanese indie developers

  • Built and launched the platform with a team of four on Next.js, TypeScript, Supabase (Postgres), and Vercel.
  • Built an ingestion pipeline that collects items from Hacker News, Product Hunt, GitHub Trending, Zenn, and Qiita, and connected GA4 and Postgres usage data to automated Slack reporting.
  • Measured retention in production SQL (83% of makers posted once and left), shipped three interventions, and re-measured. A proxy metric rose 6.4x but retention did not move, so I reported the negative result and moved on to the next hypothesis.
364
registered users
283
products launched
4
person team
nextjssupabasepostgresga4data-pipeline
TypeScriptCo-founder & Lead EngineerApr 2026 – Presentideavalu.com

Code activity

Most of my production code lives in private repositories, so this activity includes work that is not publicly visible. I am happy to walk through code on request.

contributions in the last year
248
repositories (18 private)
25
View GitHub profileSnapshot: 2026-10-08

Toolkit and foundations

Programming

  • Python (primary)
  • SQL
  • TypeScript / JavaScript
  • R (coursework)
  • C++
  • Java

Data

  • pandas
  • NumPy
  • PostgreSQL (Supabase)
  • scikit-learn
  • Web scraping
  • Data normalization
  • API integration
  • Embeddings (MiniLM)

AI / LLM

  • Claude API
  • OpenAI API
  • Structured output & validation
  • LLM processing of unstructured text

Engineering

  • Git / GitHub
  • GitHub Actions (CI/CD)
  • pytest
  • flake8
  • Bash
  • Playwright
  • Next.js
  • Vercel
  • Firebase
  • GCP (basic)

Languages

  • Japanese (native)
  • English (business fluent)

Education

University of California, Berkeley

Expected May 2028

B.A. Statistics, College of Computing, Data Science, and Society

Berkeley, CATransferred Fall 2026

Coursework: Probability (STAT 134), Computing with Data in R (STAT 133), Foundations of Data Science (DATA C8)

Orange Coast College

Aug 2024 – May 2026

Computer Science

Costa Mesa, CAGPA 3.82 · President's List · Honor's List

Coursework: Calculus I–III, Linear Algebra and Differential Equations, Discrete Structures, Statistics, Python, C++ I and II, Java

Let's talk.

I'm looking for internship and new-grad opportunities in data, AI, technology, and consulting. Email is the fastest way to reach me.

Elsewhere

A current résumé is available upon request.