
Van Nguyen
@vannguyen2
I build AI and data platforms that automate decisions, streamline operations, and make knowledge more accessible.
What I'm looking for
At ST Engineering, I build AI and data solutions that replace manual work—from invoice and purchase-order matching to résumé parsing, semantic search, and personalized interview-question generation. I’ve used GPT-4o, Gemini Pro, Mistral Large, Llama 3, LangChain, Streamlit, Vertex AI, and Microsoft Fabric to solve end-to-end business problems.
I’ve also modernized enterprise data infrastructure by retiring a legacy MSSQL warehouse in favor of SAP Datasphere, migrating Python ETL workloads to containerized runners, and connecting SAP ECC/S4, Salesforce, Tableau, Power BI, and Datasphere. I work closely with technical and business teams, helping users adopt new platforms through documentation, live clinics, and practical troubleshooting.
Earlier, I used product analytics, experimentation, ETL, dashboards, and customer analysis at Tripadvisor, FE CREDIT, and Viettonkin. I write about AI in Vietnamese and care deeply about using AI to democratize education and applying data science to agricultural life sciences.
Experience
Work history, roles, and key accomplishments
AI Engineer and Data Engineer with experience in building data pipelines, AI solutions, and cross-functional leadership. Passionate about democratizing education through AI and applying data science to agricultural life sciences.
- Designed and executed data pipelines to retire the legacy MSSQL warehouse and stand up SAP Datasphere as the new SQL‑layer platform.
- Built connectivity between SAP ECC/S4, Salesforce, Tableau, Power BI, SAP BAS Python IDE, and Datasphere, resolving authentication, driver, and network issues.
- Migrated Python ETL jobs from an on‑prem Windows server to containerized runners, improving maintaina
- Owned and enhanced the Python alert-processing pipeline to reliably handle multiple email/alert formats and variations from different sources.
- Led data cleaning and standardization, defining a consistent input schema/format for entities that need to be alerted (customers/projects/assets) to keep downstream processing stable.
- Collaborated closely with the Java team to understand data returned
- Used APIs from OpenAI GPT‑4o, Gemini Pro, Mistral Large, and Llama 3 in Jupyter notebooks to solve end‑to‑end data problems.
- Implemented CV–JD relevance scoring, résumé parsing, competency analytics, and personalized interview‑question generation for recruiters.
- Built entity‑resolution services that (a) match invoices to purchase orders by item, price, tax, and quantity, and (b) reconcile re
Through a consultation contract, I dedicated a few hours a week to assist ITviec with the following responsibilities:
- Worked directly under the CEO to provide strategic data management insights.
- Consulted on structuring data flow from production to reporting, ensuring efficient and seamless data processing.
- Advised on building and scaling data and AI teams to meet organizational needs.
- Pr
- Identify new business opportunities by examining sales and marketing reports.
- Work closely with Sales Director, Marketing Director, and Project Manager to leverage data insights for growth strategies.
- Collaborate with the Product, Data Engineer, and Data Scientist team to collectively build and implement innovative new features or identify and solve problems.
- Support new feature releases t
- Allocating loan contract to collection department and call center using Python and PL/SQL Oracle.
- Cleaning and preprocessing credit card data to make ad hoc reports.
- Classification of debt groups by clustering algorithms (k-mean)
- Cleaning and preprocessing data, then feeding data to check the correlation between data fields. Using finding from this to guide the collection center.
- Write E
- Builds and defines the application tracking report system for the Staffing Services.
- Collaborate with the Research team to conduct in-depth market analyses of recruitment trends, and utilize the gathered insights to create detailed statistical reports, including competitor pricing and a comprehensive market overview.
- Use Python to clean HR data (resume, portfolio, ID, salary, day-offs, SHUI,
- Installation, maintenance, configuration, and repair software.
- Be responsible for daily support system management, including computer and AV systems, CRM, ERP, VR/AR Education Kit, 3D printer,... in the American Center.
- Working with the MakerSpace activities.
- Assisting with the American Center and EducationUSA design projects.
- Report weekly using Excel and Canva.
- Use python to automate
Education
Degrees, certifications, and relevant coursework
UEH - International School of Business
Bachelor's degree, Business Information Systems and Statistics
2016 - 2019
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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