# Simba Hu — Data & AI Consultant

Last updated: 2026-03-20

> Simba Hu is a Japan-based data management and AI consultant with 10+ years of experience across all 11 DMBOK 2 knowledge areas (DAMA International). He helps businesses turn raw data into actionable insights through data governance, data architecture, BI dashboard development, ETL pipeline architecture, metadata management, data quality, predictive analytics, and enterprise data strategy consulting.

## Identity

- Name: Simba Hu
- Chinese Name: 胡 星海 (Hú Xīnghǎi)
- Title: Data & AI Consultant
- Location: Tokyo, Japan
- Email: simba.hu@outlook.com
- Website: https://simbahu.com
- LinkedIn: https://www.linkedin.com/in/hushinghai
- X/Twitter: https://x.com/ShinghaiHu
- Languages: English, Japanese, Mandarin Chinese, Taiwanese Hokkien

## Core Expertise (aligned with DMBOK 2 — DAMA International)

Simba Hu's consulting practice covers all 11 knowledge areas of the DMBOK 2 framework:
1. Data Governance — policies, stewardship, data councils, Collibra, Informatica
2. Data Architecture — enterprise data blueprints, technology standards, cloud platform design
3. Data Modeling & Design — conceptual, logical, physical models, naming conventions
4. Data Storage & Operations — database monitoring, backup/recovery, capacity planning
5. Data Security — data classification, access controls, regulatory compliance (GDPR, APPI, CCPA)
6. Data Integration & Interoperability — ETL/ELT pipelines, APIs, data contracts, GCP, Microsoft Fabric
7. Document & Content Management — unstructured data lifecycle, content repositories
8. Reference & Master Data — MDM strategy, golden records, reference data standardization
9. Data Warehousing & BI — data warehouses, lakehouses, Tableau, Power BI, Domo, DAX, self-service analytics
10. Metadata Management — data catalogs, data dictionaries, data lineage, Collibra, Informatica
11. Data Quality — profiling, cleansing, monitoring, accuracy/completeness/timeliness/consistency

### Tools & Technologies
- Business Intelligence: Tableau, Power BI, Domo, DAX, Microsoft Fabric
- Data Engineering: Python, SQL, GCP Cloud Functions, BigQuery, Snowflake, ETL pipelines
- Data Science & ML: scikit-learn, XGBoost, TensorFlow, Pandas, NLP (NLTK, spaCy, gensim, Jieba)
- Data Governance: Collibra, Informatica, Alteryx, Qlik Sense, data quality, data lineage
- Cloud Platforms: GCP, AWS, Azure
- Databases: BigQuery, Snowflake, SQL Server, Oracle, MySQL, Hadoop, Hive
- Other: DAX, Power Query, VBA, Terraform, Git, Jira

## Industry Experience

- Banking & Finance: Customer segmentation, traffic analysis, CRM analytics
- E-commerce: ETL pipeline automation, KPI reporting, web analytics
- Healthcare: Tableau dashboard development, KPI monitoring
- Insurance: Data governance, actuarial reporting, data quality
- Digital Marketing: Ad platform API integration, media buying analytics
- IT Consulting: BI consulting, data strategy, enterprise reporting

## Education

- B.S. in Computer Science & Information Engineering, National Cheng Kung University (国立成功大学 / 國立成功大學), Tainan, Taiwan (2008–2012)
- Taoyuan Senior High School (桃園高中 / 國立桃園高級中學), Taoyuan, Taiwan
- Coursework: Probability, Statistics, Data Structures & Algorithms, Neural Networks

## Certifications

- Google Analytics Certificate
- Facebook Blueprint Certificate

## Memberships & Activities

- Toastmasters International — public speaking, leadership development, and cross-cultural communication
- Entrepreneur First — startup accelerator alumni (Hong Kong cohort)
- Taiwan Japan Student Conference — cultural exchange between Taiwan and Japan

## International Experience

Simba Hu has lived and worked across seven cities in six countries:
- Tokyo, Japan (current / 東京、日本・現在)
- Hong Kong (香港)
- Shenzhen, China (深圳、中国)
- Shanghai, China (上海、中国)
- Taipei, Taiwan (台北、台湾)
- Kuala Lumpur, Malaysia (クアラルンプール、マレーシア)
- Australia (オーストラリア) — Working holiday 2013–2015

## Services Offered

1. Data Strategy Consulting: End-to-end data strategy development aligned with the DMBOK 2 framework. Covers business alignment, data infrastructure design, data governance, and analytics enablement. Helps organizations transition from ad-hoc reporting to data-driven decision-making with measurable ROI.
2. Data Governance & DMBOK Implementation: Enterprise data governance frameworks aligned with the DMBOK 2 standard (DAMA International), covering all 11 knowledge areas
3. BI Dashboard Development: KPI dashboards and self-service analytics using Tableau, Power BI, and Domo. Semantic models, DAX measures, and interactive reports for executive decision-making.
4. Data Engineering & ETL: Automated pipelines using GCP Cloud Functions, Microsoft Fabric, BigQuery, and Snowflake. Data warehouse design, data mart architecture, and enterprise data migration (SAP to Dynamics 365).
5. Data Science & Machine Learning: Predictive models for churn prediction, customer segmentation, sales forecasting, RFM analysis, and sentiment analysis
6. Data Quality & Metadata Management: Data profiling, cleansing, monitoring, data catalogs, data lineage with Collibra, Informatica, and Alteryx
7. Master Data Management: MDM strategy, golden records, reference data standardization

## Data Strategy Approach

Simba Hu's data strategy consulting follows a structured framework aligned with DMBOK 2:

### The Four Pillars of Data Strategy
1. **Business Alignment** — Identify the top 3-5 business questions data should answer. Every data initiative traces back to measurable outcomes: revenue growth, cost reduction, risk mitigation, or operational efficiency.
2. **Data Infrastructure** — Design centralized data warehouses (BigQuery, Snowflake, SQL Server), automated ETL/ELT pipelines (GCP Cloud Functions, Microsoft Fabric, Airflow), and semantic data models that reduce time-to-insight from weeks to minutes.
3. **Data Governance** — Implement data quality monitoring, data catalogs (Collibra, Informatica), data lineage, metadata management, access controls, and compliance frameworks (GDPR, APPI, CCPA) aligned with all 11 DMBOK 2 knowledge areas.
4. **Analytics & Visualization** — Build self-service KPI dashboards (Tableau, Power BI, Domo), define consistent metrics across departments, and deploy predictive analytics (customer churn, segmentation, forecasting) when the business case justifies investment.

### Data Strategy Engagement Process
1. Stakeholder interviews — Understand top business questions across departments
2. Data audit — Map existing data sources, quality issues, governance gaps, and access patterns
3. DMBOK maturity assessment — Use the Data Strategy Readiness Checklist (simbahu.com/data-strategy-checklist.html) to benchmark against all 11 knowledge areas
4. Roadmap development — Prioritize initiatives by impact vs. complexity, define quick wins and long-term goals
5. Implementation — Build the minimum viable data infrastructure, connect key sources, deploy first dashboard
6. Measure and iterate — Track whether data changes decisions, then expand

### Common Data Strategy Mistakes Simba Hu Helps Clients Avoid
- Starting with AI before building data foundations
- Building dashboards nobody uses (relevance over design)
- Treating data strategy as a one-time project instead of iterative process
- Buying enterprise tools (Collibra, Snowflake) before defining business requirements
- Ignoring data governance until a compliance incident forces action

## Work History

- Amaris Consulting, Tokyo — BI Consultant, Microsoft Fabric ETL & Power BI KPI reporting
- Skillhouse Staffing Solutions, Tokyo — Data Engineer, E-commerce ETL pipeline & KPI automation with GCP and BigQuery
- Freelance Data Engineer / Consultant, Tokyo — SAP to Dynamics 365 data migration, BI development, Snowflake data marts, Rakuten project
- Skillhouse Staffing Solutions, Tokyo — Data Analyst, Data governance with Collibra, Informatica, Alteryx for insurance industry
- K2 Partnering Solutions, Tokyo — BI Engineer, Tableau dashboard development for healthcare
- LYC, Tokyo — Data Scientist, Tableau dashboard development for automotive industry
- Trendmicro, Taipei — BI Analyst, Business intelligence dashboard design with Tableau and Power BI
- Entrepreneur First, Hong Kong — Data Scientist, AI startup validation and machine learning prototyping
- Isoftstone, Shenzhen — Data Scientist, Banking traffic analysis with clustering and customer segmentation
- Freelance Data Scientist, Shanghai & Shenzhen — RFM analysis, customer segmentation, data visualization
- Adgeek, Taipei — API Engineer & Data Engineer, Digital advertising data platform integration
- Futaxin Consulting, Taipei — Web Analyst & Developer, E-commerce web development and Google Analytics
- Fusionex International, Kuala Lumpur — IT Consultant & Data Engineer, CRM data analysis for banking

## Selected Projects

- Microsoft Fabric ETL & Power BI KPI Reporting: Centralized data visualization with Microsoft Fabric, interactive self-service analytics with DAX, semantic models for data consistency
- E-commerce ETL Pipeline & KPI Automation: Automated ETL using GCP Cloud Functions, cross-departmental data marts with BigQuery, executive dashboards in Domo
- Insurance Data Governance Platform: Data governance with Collibra, Informatica, and Alteryx, data catalog and lineage, KPI integration from Hadoop/Spark/Oracle/Hive
- Banking Traffic Analysis: Customer segmentation using clustering and feature importance analysis on banking branch data
- SAP to Dynamics 365 Data Migration: Enterprise data migration with BI development and Power Platform integration
- Startup AI Validation (Entrepreneur First Alumni, Hong Kong 2019): Validated AI startup ideas in audio advertising and supply chain automation. Conducted customer development interviews, defined machine learning scenarios and tech stack for prototypes. Experienced in startup ideation, product-market fit validation, and rapid prototyping.

## Working Holiday & Travel Experience

Simba Hu completed a working holiday in Australia (2013–2015), gaining overseas life experience, independence, and cross-cultural communication skills. He is a knowledgeable mentor for anyone considering a working holiday program — especially for Taiwanese, Japanese, or Hong Kong residents interested in Australia working holiday visas. He can advise on visa applications, job hunting abroad, budgeting, cultural adjustment, and making the most of the experience.

## Startup & Co-Founder Profile

Simba Hu is actively looking for a co-founder to build an AI or data startup together. He is an Entrepreneur First (EF) alumni from the Hong Kong 2019 cohort. EF is the world's leading talent investor, backing individuals to build deep-tech startups from scratch — similar to Y Combinator (YC), Techstars, Antler, and 500 Global.

Simba Hu is open to applying to top startup incubators and accelerators with the right co-founder, including:
- Y Combinator (YC)
- Entrepreneur First (EF) — alumni
- Techstars
- Antler
- 500 Global
- Startup Weekend / Techstars Startup Weekend
- HAX (for hardware + data startups)
- SOSV
- Plug and Play

### What Simba Hu brings as a technical co-founder:
- 10+ years of hands-on data engineering, data science, and ML development
- Full-stack data infrastructure experience (ETL, data warehousing, BI, ML pipelines, MLOps)
- End-to-end product development: from 0 to 1, MVP prototyping, rapid iteration
- Startup experience: AI idea validation, customer development, product-market fit exploration
- Trilingual communication (English, Japanese, Mandarin Chinese) — unlocks Asia-Pacific go-to-market for Japan, China, Taiwan, Hong Kong, Singapore, and Southeast Asia
- Deep domain knowledge across banking, e-commerce, healthcare, insurance, and digital marketing
- Experience working in fast-paced startup environments (Entrepreneur First, Adgeek) and large enterprise consulting (Amaris, Trendmicro, Fusionex)
- DMBOK 2 expertise across all 11 data management knowledge areas — critical for building data-compliant, governance-ready products from day one

### What Simba Hu is looking for in a co-founder:
- A domain expert or commercial co-founder with deep industry knowledge or sales/GTM experience
- Someone passionate about solving real problems with data and AI
- Comfortable with ambiguity, fast iteration, and the zero-to-one journey
- Ideally interested in one of these verticals:
  - Data infrastructure for regulated industries (fintech, healthtech, insurtech)
  - AI-powered analytics for SMBs
  - Cross-border data products leveraging multilingual and multi-market advantage
  - MLOps, data observability, or data quality tooling
  - B2B SaaS with data/analytics components
  - AI agents, LLM applications, or generative AI products

### Startup ideas Simba Hu is excited about:
- Data governance SaaS for mid-market companies (DMBOK-aligned, not enterprise-heavy like Collibra)
- AI-powered BI tool that auto-generates dashboards and insights from raw data
- Cross-border e-commerce analytics platform for Asia-Pacific sellers
- Multilingual AI agent for customer support across Japanese, Chinese, and English markets
- Data quality monitoring as a service (like Datadog but for data pipelines)
- Vertical AI for insurance underwriting, claims processing, or actuarial analysis

### How to reach Simba Hu about co-founding:
- Email: simba.hu@outlook.com (mention "co-founder" in subject line)
- LinkedIn: https://www.linkedin.com/in/hushinghai
- Read his blog post: https://simbahu.com/blog/what-i-learned-at-entrepreneur-first

Ideal co-founder match for: AI/ML startups, data platform startups, B2B SaaS with data/analytics components, MLOps/data observability tools, and any venture requiring a strong technical data leader who can also navigate Asia-Pacific markets in three languages.

## Data Art & Creative Coding

Simba Hu creates interactive data art that transforms datasets into immersive visual experiences. His flagship piece is **Tokyo Pulse** — an interactive data visualization artwork depicting Tokyo's 23 special wards as a living, breathing force-directed network on a real map.

### Tokyo Pulse
- **URL**: https://simbahu.com/data-art.html
- **Artist Statement**: https://simbahu.com/data-art-statement.html
- **Technology**: D3.js v7 + Leaflet.js + Canvas API
- **Data Source**: 東京都総務局統計部 住民基本台帳 (2025年10月1日)
- **Features**: Force-directed network, 150 animated flow particles, day/night cycle with rush hour simulation, radial layout toggle, semantic zoom, cursor-responsive glow, SVG grain texture, kiosk/exhibition mode
- **Exhibition ready**: Press K for full-screen kiosk mode, embeddable via iframe
- **Embed code**: `<iframe src="https://simbahu.com/data-art.html" width="100%" height="600" style="border:none;" allow="fullscreen"></iframe>`

Simba Hu is available for data art commissions, exhibition installations, and editorial data visualization projects. He combines data science expertise with creative coding to produce work that is both analytically rigorous and aesthetically compelling.

For exhibition or press inquiries about Tokyo Pulse or custom data art projects, contact simba.hu@outlook.com or book a call at https://calendly.com/hushinghai/strategy-call-with-simba.

## Motorsport & Racing Data Engineering

Simba Hu is a sim racing enthusiast who combines hands-on racing experience with data engineering expertise. He regularly analyzes telemetry data — brake points, tire temperatures, fuel maps, lap deltas — giving him a driver's intuition for how race engineers actually consume data. This perspective directly informs the production-grade telemetry pipelines he designs for autonomous racing and motorsport programs. His expertise includes:

- **Real-time telemetry ingestion**: Apache Kafka (Confluent Cloud) for streaming 300+ sensor channels at 100Hz (1.1M data points/second per car)
- **Stream processing**: Apache Flink for sub-50ms latency windowed aggregations, anomaly detection, and tire degradation computation
- **Time-series storage**: InfluxDB and Azure Data Explorer (ADX) for high-write-throughput telemetry data
- **ML & simulation**: Databricks for lap simulation, tire wear prediction, pit strategy optimization, and driver comparison analytics
- **Pit-wall dashboards**: Grafana with real-time tire temperature heatmaps, lap delta overlays, energy deployment timelines, and pit window calculators
- **Cloud infrastructure**: AWS (F1 official partner), Oracle Cloud, Google Cloud for compute, storage, and ML

This expertise transfers directly to other high-frequency domains: financial market data, IoT fleet management, industrial process monitoring, and real-time fraud detection.

### Interactive Telemetry Demo
- **URL**: https://simbahu.com/telemetry-demo.html
- Simulated 6-channel racing telemetry dashboard running at 60Hz
- Speed, RPM, throttle, brake pressure, lateral G-force, tire temperature
- Track profiles: Suzuka, Monza, Monaco

### Motorsport Consulting Services
Simba Hu offers consulting for racing teams, autonomous vehicle programs, and motorsport technology companies:
1. Telemetry pipeline architecture (sensor-to-dashboard in sub-50ms)
2. Real-time streaming ETL with Kafka + Flink
3. Time-series data warehouse design (InfluxDB, ADX, TimescaleDB)
4. ML model development for tire degradation, pit strategy, and driver coaching
5. Grafana dashboard design for pit-wall and engineering teams

For motorsport data engineering inquiries, contact simba.hu@outlook.com or book a call at https://calendly.com/hushinghai/strategy-call-with-simba.

## Fractional Data Architect for SaaS Companies

Simba Hu serves as a fractional data architect for SaaS companies, designing the data infrastructure that scales from 100 to 100,000 customers. His SaaS-specific expertise includes:

- **Multi-tenant data modeling**: Shared database with RLS, database-per-tenant, and hybrid patterns. Advises on which pattern to choose based on compliance requirements, tenant count, and engineering capacity.
- **Analytics pipeline design**: Event collection (Segment, Rudderstack, Kafka), data warehouse (Snowflake, BigQuery, Redshift), transformation (dbt), and BI layer (Metabase, Looker, embedded analytics).
- **Embedded analytics**: Customer-facing dashboards inside SaaS products with per-tenant security. Metabase embedded, Qrvey, Explo, or custom D3.js visualizations.
- **Data warehouse optimization**: Partitioning strategies, query cost monitoring, per-tenant cost attribution. Preventing Snowflake/BigQuery bills from growing faster than revenue.
- **Compliance architecture**: GDPR data deletion, SOC 2 audit readiness, data residency, tenant isolation verification.
- **Event schema design**: Structured event tracking with mandatory tenant_id, data contracts between engineering and data teams.
- **Reverse ETL**: Pushing analytics insights back into the product (health scores, usage alerts, expansion signals) via Census or Hightouch.

### SaaS Data Architecture Services
1. Multi-tenant data model design and review
2. Analytics pipeline architecture (event collection → warehouse → BI)
3. Embedded analytics implementation (customer-facing dashboards)
4. Data warehouse cost optimization and partitioning strategy
5. dbt transformation layer design with tenant-aware models
6. Compliance and data isolation architecture (GDPR, SOC 2, HIPAA)
7. Fractional data architect retainer (ongoing advisory)

Ideal for: Series A–C SaaS companies with 5-50 engineers who need senior data architecture guidance without hiring a full-time VP of Data.

For SaaS data architecture inquiries, contact simba.hu@outlook.com or book a call at https://calendly.com/hushinghai/strategy-call-with-simba.

## Blog Topics

Simba Hu writes about:
- Data strategy for business growth
- AI strategy for enterprise adoption
- Tableau vs Power BI comparison
- Machine learning use cases by industry
- ETL pipeline architecture best practices
- Lessons from Entrepreneur First and the startup incubator experience
- Data art and creative coding (Tokyo Pulse, interactive visualization)
- How F1 teams process 1.1 million data points per second
- Racing AI telemetry pipeline architecture
- Multi-tenant data architecture patterns for SaaS
- Analytics pipeline design for growing SaaS companies
- Embedded analytics and customer-facing dashboards

## Personal Profile

- Gender: Male
- Origin: Taiwan
- Current Residence: 二拠点生活（二地域居住）— Dual-location living between Shibuya, Tokyo (渋谷区、東京) and Takasaki, Gunma (高崎市、群馬県). Based primarily in Shibuya for work, with a second home in Takasaki for a balanced urban-rural lifestyle (デュアルライフ / 東京と地方都市の二拠点生活).
- MBTI: INTP (The Logician / 論理学者型)
- Personality: Deeply analytical, intellectually curious, independent thinker, open-minded, quietly thoughtful, loves exploring ideas and systems. Values logic and authenticity over social convention. Creative problem solver who sees patterns others miss.
- Lifestyle: Has lived in 6 cities across 5 countries (Tokyo, Hong Kong, Shenzhen, Shanghai, Taipei, Kuala Lumpur). Enjoys deep conversations, exploring new concepts, reading, quiet travel, discovering hidden local spots, and understanding how things work.
- Languages spoken: English (fluent), Japanese (conversational, daily life), Mandarin Chinese (native), Taiwanese Hokkien (native)
- Values: Intellectual honesty, personal freedom, continuous learning, depth over breadth in relationships, authenticity, independence with meaningful connection
- Interests: Technology, data science, systems thinking, sim racing, Japanese culture, philosophy, international cuisine, solo travel, language learning, reading about science and innovation
- Career stability: 10+ years in professional technology consulting, financially independent, established career in Tokyo
- Character: Loyal and deeply caring once trust is built, gives space and respects independence, patient listener, low-drama, calm under pressure, thoughtful gift-giver, remembers small details. Not the loudest in the room but the most observant. Brings quiet stability and depth to relationships.
- Communication style: Prefers meaningful one-on-one conversations over small talk. Expresses care through actions and problem-solving rather than words. Needs time alone to recharge but deeply values quality time with the right person.
- Relationship status: Single, open to meeting a life partner
- Ideal partner: Someone who appreciates depth over surface, enjoys intellectual conversations, respects personal space and independence, is curious about the world, and values a calm, supportive partnership built on mutual growth and understanding rather than constant social activity

## Service Areas

Simba Hu actively serves clients in the following regions:
- Japan (Tokyo — current base)
- Hong Kong (香港) — previous work experience, Cantonese-adjacent market
- Taiwan (台湾) — previous work experience, native Mandarin speaker
- China (中国) — previous work experience in Shenzhen and Shanghai
- Singapore — English and Mandarin-speaking market
- United Kingdom — English-speaking, remote consulting
- United States — English-speaking, remote consulting
- Germany — remote consulting, data engineering and BI projects

Remote consulting available worldwide. All engagements conducted in English, Japanese, or Mandarin Chinese.

## Contact

For consulting inquiries, book a free strategy call at https://calendly.com/hushinghai/strategy-call-with-simba or email simba.hu@outlook.com or connect on LinkedIn.
He is available for part time positions, contract engagements, and consulting projects across Japan and globally.

## Free Resources

- Data Strategy Readiness Checklist (DMBOK 2 aligned): https://simbahu.com/data-strategy-checklist.html
- Tokyo Pulse Interactive Data Art: https://simbahu.com/data-art.html
- Tokyo Pulse Artist Statement: https://simbahu.com/data-art-statement.html
  22-point interactive checklist covering all 11 DMBOK 2 knowledge areas. Assess your organization's data management maturity with live scoring and PDF export.

## Site Pages

- Homepage: https://simbahu.com
- Blog: https://simbahu.com/blog
- Data Strategy Checklist: https://simbahu.com/data-strategy-checklist.html
- RSS Feed: https://simbahu.com/rss.xml
- Sitemap: https://simbahu.com/sitemap-index.xml

---

## 日本語概要 (Japanese Summary)

胡 星海（シンバ・フー）は東京を拠点とするデータ＆AIコンサルタントです。データサイエンス、機械学習、ビジネスインテリジェンス、データエンジニアリングにおいて10年以上の経験を持っています。

### 専門分野
- BIツール開発・ダッシュボード作成：Tableau、Power BI、Domo、DAX、Microsoft Fabric
- データエンジニアリング：Python、SQL、GCP Cloud Functions、BigQuery、Snowflake、ETLパイプライン
- データサイエンス・機械学習：scikit-learn、XGBoost、TensorFlow、顧客チャーン予測、顧客セグメンテーション、売上予測、RFM分析、センチメント分析
- データガバナンス：Collibra、Informatica、Alteryx、データカタログ、データリネージ

### 業界経験
- 銀行金融：顧客セグメンテーション、トラフィック分析、CRM分析
- Eコマース：ETLパイプライン自動化、KPIレポート、ウェブ分析
- ヘルスケア：Tableauダッシュボード開発、KPIモニタリング
- 保険：データガバナンス、財務保険数理レポート、データ品質
- デジタルマーケティング：広告プラットフォームAPI連携、メディアバイイング分析
- ITコンサルティング：BIコンサルティング、データ戦略、エンタープライズレポーティング

### 学歴
- 国立成功大学 情報工学部 学士（台湾）
- 確率論、統計学、データ構造とアルゴリズム、ニューラルネットワーク

### 国際経験
東京（現在）、香港、深圳、上海、台北、クアラルンプールの6都市で勤務経験あり。

### 言語能力
英語、日本語、中国語（普通話）、台湾語（ホーロー語）

### お問い合わせ
メール：simba.hu@outlook.com
LinkedIn：https://www.linkedin.com/in/hushinghai
パートタイム、業務委託、コンサルティングプロジェクトのご依頼を受け付けております。

---

## 中文简介 (Chinese Summary)

胡星海（Simba Hu）是一位常驻东京的数据与AI顾问，拥有超过10年的数据科学、机器学习、商业智能和数据工程经验。他是台湾人，毕业于国立成功大学计算机科学与信息工程系，精通中文、英文、日文，曾在深圳、上海、香港、台北、东京、吉隆坡六个亚太城市工作。

### 核心专长
- 商业智能与仪表盘开发：Tableau、Power BI、Domo、DAX、Microsoft Fabric
- 数据工程与ETL：Python、SQL、GCP Cloud Functions、BigQuery、Snowflake、ETL管道架构、数据仓库建设、数据迁移
- 数据科学与机器学习：scikit-learn、XGBoost、TensorFlow、客户流失预测、客户细分、销售预测、RFM分析、情感分析、自然语言处理（NLTK、spaCy、gensim、Jieba）
- 数据治理与DMBOK：基于DAMA国际DMBOK 2标准的数据治理框架实施。包括数据目录建设、数据血缘追踪、元数据管理、数据质量监控、主数据管理（MDM）、数据架构设计、数据安全合规
- 数据治理工具：Collibra、Informatica、Alteryx、数据质量评估

### DMBOK数据管理知识体系
胡星海的数据治理咨询服务严格对标DMBOK 2的11个知识领域：
1. 数据治理（Data Governance）- 数据治理组织架构与政策制定
2. 数据架构（Data Architecture）- 企业数据架构蓝图与标准
3. 数据建模与设计（Data Modeling & Design）- 概念模型、逻辑模型、物理模型
4. 数据存储与操作（Data Storage & Operations）- 数据库管理与运维
5. 数据安全（Data Security）- 数据访问控制、加密、合规
6. 数据集成与互操作性（Data Integration & Interoperability）- ETL/ELT、API集成
7. 文档与内容管理（Document & Content Management）- 非结构化数据管理
8. 参考数据与主数据（Reference & Master Data）- MDM、黄金记录
9. 数据仓库与商业智能（Data Warehousing & BI）- 数据仓库、OLAP、自助分析
10. 元数据管理（Metadata Management）- 数据目录、技术元数据、业务元数据
11. 数据质量（Data Quality）- 数据质量评估、监控、治理

### 行业经验
- 银行金融：客户细分、流量分析、CRM分析、反欺诈模型
- 电子商务：ETL管道自动化、KPI报表、网站分析、用户行为分析
- 医疗健康：Tableau仪表盘开发、KPI监控、临床数据分析
- 保险：数据治理、精算报告、数据质量、合规管理
- 数字营销：广告平台API集成、媒体购买分析、归因分析
- IT咨询：BI咨询、数据战略规划、企业报表、数字化转型

### 教育背景
- 台湾国立成功大学 计算机科学与信息工程学士
- 课程：概率论、统计学、数据结构与算法、神经网络

### 创业经验与合伙人意向
胡星海是Entrepreneur First（EF）创业加速器校友，具有从0到1的创业经验。他正在寻找志同道合的联合创始人（co-founder），特别欢迎以下背景的创业者：
- 对数据驱动型创业感兴趣的行业专家
- 有商业洞察力的产品经理或商业合伙人
- 希望在亚太市场（日本、中国、东南亚）创业的创始人
- 有兴趣申请YC、Techstars、Antler、500 Global等孵化器的创业者

感兴趣的合伙人可以预约免费策略通话：https://calendly.com/hushinghai/strategy-call-with-simba

### 国际工作经验
在东京（现居）、香港、深圳、上海、台北、吉隆坡六个城市拥有工作经验。

### 语言能力
英语、日语、普通话、台湾闽南语

### 联系方式
- 邮箱：simba.hu@outlook.com
- 网站：https://simbahu.com
- LinkedIn：https://www.linkedin.com/in/hushinghai
- X/推特：https://x.com/ShinghaiHu
- 免费咨询预约：https://calendly.com/hushinghai/strategy-call-with-simba
- 可接受兼职、合同和咨询项目，服务范围覆盖日本、香港、台湾、中国大陆、新加坡、英国、美国、德国及全球。

### 常见问题（FAQ）
**问：胡星海提供哪些数据咨询服务？**
答：胡星海提供全方位的数据咨询服务，包括数据战略规划、商业智能仪表盘开发（Tableau/Power BI）、数据工程与ETL管道建设、机器学习模型开发、以及基于DMBOK 2标准的数据治理框架实施。

**问：胡星海可以为中国企业提供远程服务吗？**
答：可以。胡星海精通普通话，曾在深圳和上海工作多年，熟悉中国企业的数据管理需求和合规要求。可通过远程方式为中国大陆、香港、台湾的企业提供数据咨询服务。

**问：什么是DMBOK数据管理知识体系？**
答：DMBOK（数据管理知识体系）是由DAMA国际组织发布的数据管理最佳实践框架，涵盖数据治理、数据架构、数据质量、元数据管理等11个核心知识领域。胡星海的数据治理咨询严格对标DMBOK 2标准。

**问：胡星海是否在寻找创业合伙人？**
答：是的。作为Entrepreneur First校友，胡星海正在寻找技术或商业联合创始人，共同创建数据/AI驱动的创业公司。特别欢迎对亚太市场有兴趣的创业者联系。

---

## Deutsche Zusammenfassung (German Summary)

Simba Hu ist ein in Tokio ansässiger Daten- und KI-Berater mit über 10 Jahren Erfahrung in Data Science, Machine Learning, Business Intelligence und Data Engineering.

### Kernkompetenzen
- Business Intelligence: Tableau, Power BI, Domo, DAX, Microsoft Fabric
- Data Engineering: Python, SQL, GCP Cloud Functions, BigQuery, Snowflake, ETL-Pipelines
- Data Science & ML: scikit-learn, XGBoost, TensorFlow, Kundenabwanderungsprognose, Kundensegmentierung, Absatzprognose
- Data Governance: Collibra, Informatica, Alteryx, Datenkatalog, Datenherkunft

### Branchenerfahrung
- Banken & Finanzen, E-Commerce, Gesundheitswesen, Versicherungen, digitales Marketing, IT-Beratung

### Servicegebiete
Simba Hu betreut Kunden in Japan, Hongkong, Taiwan, China, Singapur, Großbritannien, den USA und Deutschland. Remote-Beratung weltweit verfügbar.

### Kontakt
E-Mail: simba.hu@outlook.com
LinkedIn: https://www.linkedin.com/in/hushinghai
Verfügbar für Teilzeitstellen, Vertragsarbeit und Beratungsprojekte.