Amy Yang Email & Phone Number
@livekindred.com
2 phones found area 215 and 847
LinkedIn matched
Who is Amy Yang? Overview
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Amy Yang is listed as Director of Data Science & AI/ML at Kindred, a with 215 employees, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at livekindred.com, phone signal with area code 215, 847, and a matched LinkedIn profile for Amy Yang.
Amy Yang previously worked as Director of Data Science & AI/ML at Biorender and Head of Data Science and Analytics at Opendoor. Amy Yang holds Master'S Degree, Computer Science from University Of Illinois Urbana-Champaign.
Email format at Kindred
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AeroLeads found 1 current-domain work email signal for Amy Yang. Compare company email patterns before reaching out.
About Amy Yang
Amy Yang is a Director of Data Science & AI/ML at Kindred. She possess expertise in spss, sas, r, matlab, clinical trials and 12 more skills. She is proficient in English. Colleagues describe her as "Amy and I worked together on the data science team at Uptake. Amy started making notable contributions almost immediately, and really raised the team's bar for R and statistics. Any data science team would be lucky to have her!"
Listed skills include Spss, Sas, R, Matlab, and 13 others.
Amy Yang's current company
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Amy Yang work experience
A career timeline built from the work history available for this profile.
Director Of Data Science & Ai/Ml
Current
Head Of Data Science And Analytics
Staff Research Scientist|Manager
Senior Data Scientist|Tech Lead
Adjunct Lecturer
Senior Data Scientist
- Machine learning models for lead merchant assignment, marketing campaign uplift model and customer LTV estimation - R&D of new statistical methodologies for Groupon A/B Experimentation Platform- Designing automated data ingestion and testing pipelines
Senior Data Scientist
Uptake's predictive analytics software turns data into actionable insights. Our products improve productivity, safety, and reliability for our customers across major industries, such as rail, wind, and fleet. • Core member of Fleet industry vertical data science team, creating machine learning models to predict mechanical failures across different fleet systems• Collaborating with software, database engineers on our capability to deploy data science models at scale into our platform and products• Developing internal data science software and tools for machine learning and analytics • Mentoring social sector data professionals through Uptake.org's Data Fellows Program
Biostatistician
Led a team involved in managing and analyzing multiple, complex datasets, ensuring dataintegrity, quality, and timeliness of results delivery. Creation and maintenance of automated data reporting dashboard system using R markdownfor medical school client. Improved workow efficiency and reproducibility. Trained and mentored new statistical analysts and team members. Advised Ph.D. candidates as a member of graduate thesis committee.ults.
Senior Statistical Analyst
Providing statistical and database design consultation to clients performing medical research. Responsible for statistical programming, analysis, results interpretation, and manuscript development. Co-authored 15+ publications from these collaborations. Developed R Shiny App for co-variate adjusted randomization in clinical trials. Created supervised learning models to predict kidney disease after liver transplantation frombiomarker data using Random Forest.
Research Assistant
Developed a novel statistical methods to identify di erentially expressed transcripts for high di-mensional RNA-sequencing data. Improved classi cation sensitivity and speci city in simulateddataset vs traditional methods. Identi ed risk factors using regression method for electrographic seizures in pediatric ICU pa-tients and developed a prediction model for seizure occurrence.
Statistician
Conducted eld study in China investigating how early health risk factors, early nutrition andenvironmental toxicity influence emotional and behavioral development in children. Designed and validated surveys used in the study. Applied statistical methods e.g., GLM, GEEand mixed models to analyze longitudinal outcomes. Trained research sta on survey administration and longitudinal database maintenance.
Amy Yang education
Master'S Degree, Computer Science
Master, Biostatistics
Bachelor'S Degree, Life Science
Frequently asked questions about Amy Yang
Quick answers generated from the profile data available on this page.
What company does Amy Yang work for?
Amy Yang works for Kindred.
What is Amy Yang's role at Kindred?
Amy Yang is listed as Director of Data Science & AI/ML at Kindred.
What is Amy Yang's email address?
AeroLeads has found 1 work email signal at @livekindred.com for Amy Yang at Kindred.
What is Amy Yang's phone number?
AeroLeads has found 2 phone signal(s) with area code 215, 847 for Amy Yang at Kindred.
Where is Amy Yang based?
Amy Yang is based in Chicago, Illinois, United States while working with Kindred.
What companies has Amy Yang worked for?
Amy Yang has worked for Kindred, Biorender, Opendoor, Northwestern University, and Groupon.
How can I contact Amy Yang?
You can use AeroLeads to view verified contact signals for Amy Yang at Kindred, including work email, phone, and LinkedIn data when available.
What schools did Amy Yang attend?
Amy Yang holds Master'S Degree, Computer Science from University Of Illinois Urbana-Champaign.
What skills is Amy Yang known for?
Amy Yang is listed with skills including Spss, Sas, R, Matlab, Clinical Trials, Stata, Shell Scripting, and Linux.
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