Data Scientist
Resume:
Nan Li
*************@*****.***
Summary
6+ years of experience as a data scientist/data analyst with strong skillset: client focus, data ETL, ML, Deep Learning, dashboard building, python/Jupyter and stakeholder communication.
Drive the projects by effective communication with stakeholders, lead and manage the analyst team to deliver high quality results to clients.
Create SQL queries, preprocess data by Jupyter, Python with Scikit-Learn.
Train and fine-tune supervised and unsupervised ML models to deliver business results.
Design website AB testing to give suggestions on features launch decision.
Develop Tableau, Power BI dashboard/ Excel power pivot data visualization to give data insight.
Train regression, clustering, classification models to give decision suggestions.
Skills
Machine Learning, Deep Learning, Azure Databricks, Azure ML, TensorFlow, ML Flow, SQL Server, Python, Jupyter, Scikit-Learn, Pandas, NumPy, Tableau, Power BI, AB test.
Experience:
Launch Consulting LLC, Bellevue, WA 2017 - now
Data Scientist/Data Analyst at Microsoft Finance team project
Communicate with stakeholders across teams to get clear business requirements.
Lead a team with data analysts to assign tasks, clear blockers to drive the project.
Pull required data from data source by creating high quality SQL queries.
Preprocess data by creating Python Pipeline: handle missing data, encode categorical variables, scaling numeric features, split train/test set.
Train and fine-tune Regression, Classification, Clustering, NLP, CNN models in Azure ML.
Manage models after production.
Design website AB test, combine with ML models to predict conversion rate and come up with recommendations for the product team and the marketing team to improve conversion rate.
Deliver results to clients and get feedback to make improvements.
Document business logic together with development design.
Build and deliver PBI reports to show results and data insight.
Educate users to use the models and reports to gain individual business insight.
Blueprint Consulting LLC, Bellevue, WA 2016 - 2017
Consultant at Valve
Help people management by creating statistic models to predict seasonal headcount.
Create ML models to evaluate customer service quality, improve customer experiences base on customer service tickets information.
Run Arima models on time series data to make tickets prediction.
Drive continuous quality improvement for a fast-growing supporting team.
Design AB testing for launching game features with software engineering team.
Design and maintain SQL Server database and manipulate data in SSIS/SSAS.
Create reports in TABLEAU / Excel for KPI management.
GREAT WALL Investment, Beijing, China 2013 - 2015
Quantitative Analyst
Set up quantitative models to make analysis of the macro-economy environment influence on the Stock Market.
Investigate inflation rate and other economy indicator’s relationship by Granger, VAR, GARCH, MCMC and MSVAR methods.
Define key metrics to forecast market performance against macro-economy policy.
Present investment suggestions to fund managers.
Education
B.S. on Computer Science. Jilin University, Jilin, China
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