Hiro Shioi
Verified Expert in Engineering
Data Scientist Developer
Hiro is a customer-facing data scientist. He excels at very high-level data science problems (ideation, road mapping, ROI estimation, solution and data architecting) to hands-on execution (data cleansing, feature engineering, modeling, operationalization). At General Electric, Hiro led a million-dollar digital transformation advisory project and developed 15 data science products across the healthcare, mining, telecommunications, manufacturing, transportation, power, and financial industries.
Portfolio
Experience
Availability
Preferred Environment
Python, Jupyter Notebook, Amazon Web Services (AWS), Azure, Data Science, Data Analysis, Pandas, Scikit-learn, Amazon S3 (AWS S3), Amazon EC2, APIs
The most amazing...
...customer-focused and executed business outcome I delivered was worth $8 million to the client and completed within 60 days.
Work Experience
Senior Data Scientist
dotData Inc.
- Served as a single customer-facing data scientist, closing the deal for the happiest customer by validating an $8 million revenue increase per month and operationalizing the ML model within 60 days.
- Developed automated data science (automated feature engineering and AutoML) use cases for businesses across industries, e.g., eCommerce, manufacturing, retail, and finance.
- Directed engineers to improve the products and add-on features as a product manager by leveraging customer-facing knowledge.
Senior Data Scientist
General Electric
- Developed 15 data science products and solutions for customers across verticals such as healthcare, mining, telecommunications, manufacturing, transportation, power, and the financial industries.
- Led the million-dollar contract for a digital transformation advisory project of a financial institution.
- Developed anomaly detection models using machine learning and physics-based models applying signal processing based on 14 time-series sensors in Python.
- Delivered an analytic report for millions of time-series log and service data records.
Experience
Flask App for Anomaly Detection Using User Session Logs
Skills
Languages
Python, SQL, Snowflake
Libraries/APIs
Pandas, Scikit-learn, PySpark, REST APIs, XGBoost
Paradigms
Anomaly Detection, Data Science
Platforms
Jupyter Notebook, Amazon EC2, Databricks, Amazon Web Services (AWS), Azure
Storage
Amazon S3 (AWS S3)
Other
Machine Learning, Data Analysis, APIs, Client Presentations, Object Detection
Frameworks
Flask
Tools
Tableau, Microsoft Power BI
Education
Master's Degree in Aerospace Engineering
The University of Tokyo - Tokyo, Japan
Research Towards a Degree in Computer Science
ETH Zurich (Swiss Federal Institute of Technology in Zurich) - Zurich, Switzerland
Bachelor's Degree in Aerospace Engineering
The University of Tokyo - Tokyo, Japan