Machine Learning Data Scientist

Nan Li

******@*****.***

206-***-****

Summary

Data Scientist with 8+ years of experience designing and deploying AI/ML solutions on Microsoft Azure. Specialized in A/B testing, Causal Inference, Large Language Models (LLMs), and big data analytics for marketing and business impact. Proficient in transformer architectures (ChatGPT, Copilot), scalable data processing (Azure Synapse, Spark), and machine learning pipeline development. Strong foundation in experiment design, including A/B testing and quasi-experiments (e.g., DML, Causal Forests, Difference- in-Differences). Skilled in automating ETL workflows, operationalizing models in MLOps frameworks, and mentoring technical teams to deliver high-impact AI strategies. Experience

Senior Data Scientist at Planet Group – Microsoft Marketing AI ML team 2017 - now

· Lead the development of AI and machine learning models, including Random Forests, GBDTs, and Neural Networks, improving model performance by 11% (MAE) and increasing F1 score from 0.8 to 0.92.

· Design and execute A/B tests and quasi-experimental studies (e.g., DML, Causal Forest, Difference-in- Differences) to rigorously evaluate the causal impact of marketing programs and incentive structures.

· Work extensively with Large Language Models (LLMs) such as Copilot & ChatGPT, leveraging fine-tuning and transfer learning strategies to optimize business applications.

·Design and implement end-to-end machine learning pipelines on Azure, integrating Synapse Analytics and Spark for large-scale data processing.

· Conduct large-scale data analysis to identify trends and patterns, optimizing AI solutions for business objectives.

· Develop and oversee ETL processes in Azure Synapse, orchestrating data movement, cleansing, transformation, and validation to ensure high data quality.

· Lead the automation and lifecycle management of sophisticated data systems, streamlining model deployment and monitoring in an MLOps framework.

· Design APIs for delivering machine learning outputs to various business units, ensuring seamless data integration and usability.

· Mentor and provide technical guidance to a team of eight data scientists and engineers, fostering a culture of continuous learning and innovation.

Education

· Ph.D. in Quantitative Economics, Jilin University, China

· M.S. in Software Engineering, Jilin University, China

· B.S. in Computer Science, Jilin University, China

Contact this candidate