Rachel Li Email & Phone Number
@capitalone.com
2 phones found area 860
LinkedIn matched
Who is Rachel Li? Overview
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Rachel Li is listed as Machine Learning Engineer II at Spotify, a with 17003 employees, based in New York, United States. AeroLeads shows a work email signal at capitalone.com, phone signal with area code 860, and a matched LinkedIn profile for Rachel Li.
Rachel Li previously worked as Principal Data Scientist / Machine Learning Engineer at Capital One and Senior Data Scientist at Capital One. Rachel Li holds Master’S Degree, Statistics from Columbia University.
Email format at Spotify
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AeroLeads found 1 current-domain work email signal for Rachel Li. Compare company email patterns before reaching out.
About Rachel Li
● 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
Listed skills include Flexible, Sec, Level 1, Matlab, and 118 others.
Rachel Li's current company
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Rachel Li work experience
A career timeline built from the work history available for this profile.
Principal Data Scientist / Machine Learning Engineer
Current- 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 Scientist
Senior Data Engineer
• 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
Data Scientist
• 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 Intern
• 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 Analyst
• 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 Assistant
Colleagues at Spotify
Other employees you can reach at spotify.com. View company contacts for 17003 employees →
Andrew Hillel
Colleague at SpotifyManchester Area, United Kingdom
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JY
Jaewon Yoon
Colleague at SpotifySouth Korea, Korea, Republic Of
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SA
Shangata Afsana
Colleague at SpotifyBogra, Rajshahi, Bangladesh
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BP
Black Polly
Colleague at SpotifyIrving, Texas, United States
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SS
Sheyla Sousa
Colleague at SpotifyBrazil
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MJ
Md Juwel Rana
Colleague at SpotifyKurigrām, Rajshahi, Bangladesh
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HA
Hala Abo Al Soud
Colleague at SpotifyCairo, Egypt
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ZK
Zigmund Kermish
Colleague at SpotifyNew York City Metropolitan Area, United States
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HK
Hunny Khatri
Colleague at SpotifyDelhi, India
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RS
Rachid Saad
Colleague at SpotifyCasablanca, Casablanca-Settat, Morocco
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Rachel Li education
Master’S Degree, Statistics
Bachelor Of Arts (B.A.), Statistics
Frequently asked questions about Rachel Li
Quick answers generated from the profile data available on this page.
What company does Rachel Li work for?
Rachel Li works for Spotify.
What is Rachel Li's role at Spotify?
Rachel Li is listed as Machine Learning Engineer II at Spotify.
What is Rachel Li's email address?
AeroLeads has found 1 work email signal at @capitalone.com for Rachel Li at Spotify.
What is Rachel Li's phone number?
AeroLeads has found 2 phone signal(s) with area code 860 for Rachel Li at Spotify.
Where is Rachel Li based?
Rachel Li is based in New York, United States while working with Spotify.
What companies has Rachel Li worked for?
Rachel Li has worked for Spotify, Capital One, Visiting Nurse Service Of New York, Amper Music, Inc., and Hawkins Delafield & Wood Llp.
Who are Rachel Li's colleagues at Spotify?
Rachel Li's colleagues at Spotify include Andrew Hillel, Jaewon Yoon, Shangata Afsana, Black Polly, and Sheyla Sousa.
How can I contact Rachel Li?
You can use AeroLeads to view verified contact signals for Rachel Li at Spotify, including work email, phone, and LinkedIn data when available.
What schools did Rachel Li attend?
Rachel Li holds Master’S Degree, Statistics from Columbia University.
What skills is Rachel Li known for?
Rachel Li is listed with skills including Flexible, Sec, Level 1, Matlab, Wood, Adjustments, Front End, and Arbitrage.
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