Data & AI consultant based in Tokyo, helping businesses turn raw data into insights. I design data science solutions, ML systems, deploy generative AI solutions, and build data strategies that scale.
I'm a Tokyo-based data and AI consultant with over 10 years of experience in data science, machine learning, business intelligence, and data engineering. I hold a B.S. in Computer Science & Information Engineering, with coursework in probability, statistics, and neural networks.
I've delivered data solutions across banking, e-commerce, healthcare, insurance, and digital marketing for international consulting firms, startups, and enterprise clients. My work spans the full data lifecycle — from ETL pipeline architecture and data governance to predictive modeling, KPI dashboard development, and self-service analytics enablement for executive teams.
I'm trilingual (English, Japanese, and Mandarin Chinese) with international experience across Tokyo, Hong Kong, Shenzhen, Taipei, Shanghai, and Kuala Lumpur. Currently focused on building Microsoft Fabric ETL pipelines and Power BI reporting solutions as a BI Consultant in Tokyo.
Designing and implementing KPI dashboards and self-service analytics tools using Tableau, Power BI, and Domo. Building semantic models, DAX measures, and interactive reports for executive decision-making across industries.
Architecting automated ETL pipelines using GCP Cloud Functions, BigQuery, Snowflake, and Microsoft Fabric. Building data marts, data warehouses, and data migration solutions across enterprise systems like SAP and Dynamics 365.
Building predictive models for customer churn, segmentation, sales forecasting, RFM analysis, and NLP. Full data science lifecycle from feature engineering and model training to visualization and stakeholder reporting.
Implemented centralized data visualization at a consulting firm using Microsoft Fabric and Power BI. Designed interactive self-service analytics tools with DAX formulas, created semantic models for data consistency, and built KPI tracking systems that empowered stakeholders to explore data independently.
Engineered automated ETL pipelines using GCP Cloud Functions for e-commerce business KPIs. Designed cross-departmental data marts with BigQuery, created executive dashboards in Domo, and built automated reporting systems with Python and VBA that accelerated decision-making processes.
Built a centralized data governance framework for an insurance company using Collibra, Informatica, and Alteryx. Developed data catalog and lineage systems, integrated priority KPI metrics from Hadoop, Spark, Oracle, and Hive, and resolved critical data quality issues across the organization.
A practical framework for building an enterprise AI strategy. Learn how to identify high-value AI use cases, build the right data foundations, and scale from pilot to production.
A practical guide to building an effective data strategy. Learn how to align data infrastructure, governance, and analytics with business goals to unlock measurable value from your data assets.
An honest comparison of Tableau and Power BI from a consultant who has deployed both. Covers cost, data modeling, visualization, enterprise fit, and when to choose each tool.
Simba Hu specializes in business intelligence, data science, machine learning, and data engineering. With 10+ years of experience, he helps businesses turn raw data into actionable insights using BI tools (Tableau, Power BI), cloud platforms (GCP, AWS), and data technologies like Python, SQL, Snowflake, and BigQuery.
Simba Hu offers end-to-end data and AI consulting: BI dashboard development with Tableau, Power BI, and Domo; ETL pipeline architecture using GCP, Microsoft Fabric, and Snowflake; data science and ML models for customer segmentation, churn prediction, and sales forecasting; data governance with Collibra, Informatica, and Alteryx; and data migration services.
You can reach Simba Hu via email at simba.hu@outlook.com or connect on LinkedIn. Based in Tokyo, Japan, he is a trilingual professional (English, Japanese, Mandarin Chinese) available for part-time positions, contract engagements, and consulting projects across Japan and globally.
Simba Hu has delivered data solutions in banking and finance, healthcare, insurance, e-commerce, digital marketing, IT consulting, and software. He has worked at companies across Tokyo, Hong Kong, Shenzhen, Taipei, Shanghai, and Kuala Lumpur — working with international consulting firms, startups, and enterprise clients.
Key achievements include: building centralized Power BI reporting with Microsoft Fabric at a major consulting firm, engineering automated ETL pipelines using GCP Cloud Functions for e-commerce, executing SAP-to-Dynamics 365 data migrations, implementing data governance with Collibra and Informatica, and building customer segmentation models for banking clients.
Yes. Simba Hu has experience in machine learning (scikit-learn, XGBoost, TensorFlow), NLP (NLTK, spaCy, gensim), chatbot development (Line Bot, Dialogflow), and generative AI. He validated AI startup ideas at a leading accelerator program in Hong Kong and has built predictive models for customer churn, segmentation, sales forecasting, and sentiment analysis.
Looking to build an AI strategy, deploy machine learning models, or integrate generative AI into your product? Based in Tokyo, I work with clients across Japan and globally. I offer complimentary initial consultations to understand your data challenges and recommend the right approach.