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● 6 years of professional experience in building machine learning systems at scale in AWS cloud environment ● Theoretical and practical implementation experience of machine learning techniques and algorithms: XGBoost, Graph Embedding, Linear and Nonlinear Optimization, Clustering, Regression, feature engineering● Expertise in deep learning frameworks PyTorch ● Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods● Strong Python, SQL, Pyspark and ElasticSearch skills. Strong analytical, and data modeling skills. Advanced understanding of data pipelines and ETL processes● Strong knowledge of System Development Life Cycle (SDLC)● Demonstrated experience in organizing work and managing multiple potentially conflicting priorities while collaborating with stakeholders across multiple functions● Strong interpersonal, presentation, and communication skills and agile development experience
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Machine Learning Engineer IiSpotifyNew York, Ny, Us
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Principal Data Scientist / Machine Learning EngineerCapital One Feb 2023 - PresentMclean, Va, Us- Collaborate across teams of Software Engineers, Data scientists, Product Owners and Business Analyst in a highly regulated environment to define products and solutions - Design, build, test, deploy and monitor Batch and Real-Time Machine Learning Platforms and Micro Services - Optimize machine learning tools leverage containers (docker, Kubernetes), Pyspark, CICD Jenkins- Follow best practices: documentation, testing and validation, GitHub management -
Senior Data ScientistCapital One Feb 2021 - Feb 2023Mclean, Va, Us
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Senior Data EngineerCapital One Jun 2019 - Feb 2021Mclean, Va, Us• Created dynamic reporting web application using Python Flask and SQL to track product revenue, customer ratings and exposure trend for relationship managers and underwriters; enabled Cache function and boosted the speed• Performed modeling and statistical analysis on customer runoff using machine learning technique PCA to preprocess data and XGBoost to forecast loan runoff amount
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Data ScientistVisiting Nurse Service Of New York Sep 2016 - Nov 2018New York, Us• Modeled demand and utilization rates for the Managed Long Term Care (MLTC) nursing practice• Analyzed patient medical records to study (dis)enrollment and care patterns, to drive strategic decision making, patient outreachinitiatives and resource allocation• Presented to upper management and non-technical stakeholders to help reduce avoidable hospitalization and improve outcomes• Employed Machine Learning algorithms/techniques including Random Forest, SVM, Gradient Boosting and logistic regression• Created dashboards and reports for Compliance and Quality Management on topics including Care Managers’ performance,service utilization, care authorizations and claims -
Machine Learning Engineer InternAmper Music, Inc. Feb 2016 - May 2016New York, Ny, Us• Model data using advanced statistical methods and implement machine learning algorithms• Build data pipeline and analysis using Python libraries like Pandas, Numpy, Scipy, and Kmodes. -
Financial AnalystHawkins Delafield & Wood Llp Aug 2014 - Oct 2014New York, Us• Prepared portfolio summaries for municipal borrowers on behalf of legal team• Calculated bond yields, loan amortization schedules, interest rate swap adjustments, and other metrics to satisfySEC and IRS rules applying to new public-sector (“Muni”) borrowers• Verified arbitrage reports used in formal legal opinions by confirming all model assumptions, rules, etc. -
Administrative AssistantUniversity Of Connecticut Sep 2011 - May 2014Storrs, Ct, Us
Rachel Li Skills
Rachel Li Education Details
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Columbia UniversityStatistics -
University Of ConnecticutStatistics
Frequently Asked Questions about Rachel Li
What company does Rachel Li work for?
Rachel Li works for Spotify
What is Rachel Li's role at the current company?
Rachel Li's current role is Machine Learning Engineer II.
What is Rachel Li's email address?
Rachel Li's email address is zh****@****ail.com
What is Rachel Li's direct phone number?
Rachel Li's direct phone number is +186020*****
What schools did Rachel Li attend?
Rachel Li attended Columbia University, University Of Connecticut.
What skills is Rachel Li known for?
Rachel Li has skills like Flexible, Sec, Level 1, Matlab, Wood, Adjustments, Front End, Arbitrage, Programming, Plots, Legal, Scholarships.
Who are Rachel Li's colleagues?
Rachel Li's colleagues are Ashish Khadgi, Happy Gamboa, Larisa Bravette, Manel Ziadi, Remi Galvez, Gira P., Jay Barry.
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