Ming Hao Teo
Verified Expert in Engineering
Data Scientist and Full-stack Developer
Singapore, Singapore
Toptal member since September 28, 2022
Ming is a data scientist with full-stack experience delivering end-to-end projects from POC, data analytics, data engineering, models, and MLOps. He has experience working across various functionalities and domains, such as healthcare, finance, insurance, and telco. Ming thrives on challenges and engagement and is committed to working with teams whose vision aligns with his values.
Portfolio
Experience
- Python - 6 years
- Mathematics - 5 years
- SQL - 5 years
- PySpark - 5 years
- R - 4 years
- Churn Analysis - 3 years
- Amazon Web Services (AWS) - 3 years
- Recommendation Systems - 2 years
Work Experience
Data Scientist
FWD Group
- Led deliverables through the entire data model cycle, incorporating, developing, and standardizing the MLOps framework for models, features, and data. Accelerated model development and deployment to a matter of weeks.
- Developed propensity-based model framework and campaign design.
- Organized data-driven business decisions and campaign initiatives through analytical efforts and insights.
- Implemented AI models and data pipelines on Azure via Databricks, Pyspark, and Python.
- Handled campaign lead generations, product recommendations, lapse loyalty, and segmentation models for different markets and platforms.
- Acted as the POC on using LLM to enhance coding practices and business use cases.
Senior Data Scientist
ComfortDelgroGroup Zig
- Developed data pipelines and models for Zig on AWS. Introduced and guided other members on using SAM, serverless, terraform, and other data science and engineering aspects.
- Utilized the federated search across providers, infrastructure, and the endpoint for search.
- Worked with the point of interest, pick up, and drop off database structure along with the OpenStreetMap (OSM) service-level agreements (SLA) infrastructure.
Data Scientist
Karetis
- Delivered end-to-end data science projects, proof of concept, gathering requirements, and understanding the end-user needs to implement a fully automated solution.
- Led technical data projects that deployed data pipelines (ETL) and models for analytics projects on AWS and Azure.
- Coached, managed, and trained other team members in data science, consulting skills, and industry knowledge.
Data Scientist
Lynx Analytics
- Delivered data models on suggestion recommendation, data discovery, data explanation, data analysis, machine learning, and modeling.
- Maintained, implemented, and deployed data projects with telco for the customer lifetime value project and customer happiness index project.
- Deployed data solutions of extract, transform, and load (ETL) through airflow and Luigi. Obtained data using ingestion, chaining, data pipeline, data warehouse, and workflow management.
Physicist
Singapore General Hospital
- Managed research and QA for the department’s dosimetry projects in radiology data, diagnostic reference level research, and radiation optimization.
- Performed radiation research projects and QA on MRI, CT, and general X-Ray procedures.
- Worked in the physics, application, and sales support areas. Managed planning, troubleshooting, educating, and QA for Elekta Radiotherapy products and HIS.
Project History
Leads Generation for Campaigns
Education
Master's Degree in Medical Physics
University of Sydney - Sydney, Australia
Bachelor's Degree in Physics
Australian National University - Canberra, Australia
Certifications
AWS Certified Data Analytics – Specialty
Amazon Web Services (AWS)
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
AWS Certified Solutions Architect – Professional
Amazon Web Services (AWS)
Microsoft Certified | Power BI Data Analyst Associate
Microsoft
AWS Certified Developer - Associate
Amazon Web Services (AWS)
AWS Certified SysOps Administrator Associate
Amazon Web Services (AWS)
AWS Certified Solutions Architect - Associate
Amazon Web Services (AWS)
Skills
Libraries/APIs
PySpark, NumPy, Pandas, Scikit-learn, PyTorch, Luigi, TensorFlow, Amazon Rekognition
Tools
Jupyter, Git, Amazon SageMaker, AWS Glue, MATLAB, Microsoft Power BI, Apache Airflow, Tableau
Languages
Python, R, SQL, Fortran, C++11, Lynx
Platforms
Jupyter Notebook, Visual Studio Code (VS Code), Amazon Web Services (AWS), Databricks, Google Cloud Platform (GCP), Azure, AWS Lambda, Docker, Amazon EC2
Frameworks
Spark
Storage
Amazon S3 (AWS S3)
Other
Modeling, Mathematics, Azure Databricks, Machine Learning, Quantitative Analysis, Data Science, Data Analysis, Algorithms, DBSCAN, K-means Clustering, Hierarchical Clustering, Statistics, Churn Analysis, Recommendation Systems, Search, Mathematical Analysis, Data Engineering, Physics, Leads, Ad Campaigns, Data Analytics
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