Kineret Stanley

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

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

Masters of Data Science from UC Berkeley