Kineret Stanley
Data Scientist (ex-Apple, ex-Google)
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About
I am a data scientist (ex-Apple, ex-Google) experienced in SQL, Python and ML. I excel at finding technical solutions to business questions. I’m experienced at communicating my findings as actionable recommendations for technical and non-technical stakeholders, including C-level audiences.
Best,
Kineret
Here are some of my technical skills:
HDFS | Hadoop | PySpark | PyTorch | TensorFlow | Google Cloud Platform (GCP) | AWS | Databricks | Natural Language Processing (NLP) | Computer Vision | Tableau | Large Language Models (LLM)
Data Analytics & Insights
Data Visualization & Storytelling
Strategic Business Analysis
Machine Learning (ML)
Artificial Intelligence (AI)
Statistical Modeling
Cross-Functional Leadership
Data Reporting
Experiment Design
Experience
Apple Data Scientist
Led data science efforts for launching the Apple Card, collaborating with diverse internal and external cross-functional partners across Product, Engineering, and Marketing. Executed data analysis, data design, and data reporting to support product development, product management, customer experience, and product utilization.
Google Product Analyst
Analytics SME, accountable for leading product analytics for all Google Pay products. Partnered with product owners and 200+ cross-functional global stakeholders to launch Google Pay in 10+ countries, providing quantitative support, valuable data insights, and recommendations.
Technical Skills
HDFS | Hadoop | PySpark | PyTorch | TensorFlow | Google Cloud Platform (GCP) | AWS | Databricks | Natural Language Processing (NLP) | Computer Vision | Tableau | Large Language Models (LLM)
Data Analytics & Insights
Data Visualization & Storytelling
Strategic Business Analysis
Machine Learning (ML)
Artificial Intelligence (AI)
Statistical Modeling
Cross-Functional Leadership
Data Reporting
Experiment Design
Education
Masters of Data Science from UC Berkeley
