Raymond An

Data Scientist & AI Generative Engineer

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Raymond An

PROFESSIONAL SUMMARY

  • Data Scientist with 10+ years of experience, with hands-on delivery of predictive analytics and AI solutions in production environments.
  • 9 years of intensive Python experience; certified in SAS programming.
  • Certified NLP Engineer with rich experience in custom chatbot development and deployment.
  • Proven success in building end-to-end AI systems: anomaly detection pipelines, ML APIs, and AI-enhanced web apps using Flask, FastAPI, Streamlit, and React.
  • Expertise in data science libraries: NumPy, Pandas, scikit-learn, NLTK, LangChain, Streamlit, etc.
  • Strong understanding of ML methodologies: RandomForest, Neural Networks, Time Series (ARIMA), and custom NumPy-based model tuning.
  • Familiar with git, DevOps, and Azure Cloud; experienced Linux user.
  • Proficient in Excel and data tools like Alteryx, SPSS, Minitab, VBA.
  • Industry experience across FMCG, HR, automotive, steel & refractory, and real estate sectors.
  • Skilled communicator able to explain technical concepts to non-technical stakeholders.

WORKING EXPERIENCE

Performixbiz LLC

Generative AI Engineer Jun 2023 – Present | Minneapolis, MN

Chatbot Development & Optimization

  • Built chatbot using Streamlit to answer questions from PDFs and websites.
  • Integrated LangChain with multiple LLMs to boost accuracy.
  • Designed intuitive UI combining document and web data.

AI-Powered Web Applications

  • Developed a React.js web app integrating with SmythOS.
  • Managed API connections and optimized LLM workflows.

Healthcare AI Workflows

  • Created a Google Maps widget to estimate travel.
  • Automated SMS alerts to notify healthcare staff.
  • Matched personnel to patient needs using AI.
  • Compared drug formularies and insurance docs via workflows.

Data Solutions & Infrastructure

  • Built scalable vector search with Milvus.
  • Created NLQ pipeline converting queries into SQL using LLMs.

RHI Magnesita

Data Scientist – Digital Solution Team (APO)
Jun 2020 – Nov 2022 Β· Shanghai, China

  • Developed predictive maintenance for steel furnaces using time series.
  • Detected 3D sensor anomalies with Open3D and custom filters.
  • Forecasted energy usage with tuned ARIMA models in Flask microservices.
  • Built validation pipelines for sensor adaptability.
  • Monitored model drift and implemented auto-retraining.
  • Promoted APO in East Asia with client demos and data assessments.

iTutorGroup

Senior AI Engineer – Data Science Center
Dec 2019 – May 2020 Β· Shanghai, China

  • Created automated ETL pipelines and prediction models in Python.
  • Text Analysis Project: Analyzed 10k+ student reviews using NLP and neural nets to correlate feedback with performance.

Honeywell

Predictive Analytics Analyst – HR Analytics
Sep 2016 – Nov 2019 Β· Shanghai, China

  • Predicted global employee attrition using randomForest classification models.
  • Built RandomForest model to identify long-to-fill requisitions.
  • Developed health score for U.S. & Canadian factories.
  • Automated weekly analytics reports with Alteryx.

The Nielsen Company

Data Analyst – Advanced Analytics Consulting
Feb 2012 – Aug 2016 Β· Shanghai, China

  • Supported major clients like P&G, IKEA, VW with statistical modeling.
  • Cleaned and merged data with Excel and VBA.
  • Built marketing simulation tools to predict campaign ROI.
  • Conducted thorough statistical testing to validate model assumptions.

Education

  • Executive Master of Engineering Management, St. Cloud State University, MN (2024)
  • M.S. Management Science and Engineering, Tongji University, Shanghai (2010)
  • B.S. Engineering Management, Hunan University, Changsha (2007)