Daniel Frees Email
Research Data Scientist @ Google
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Daniel Frees Location
- California, United States
Daniel Frees Work
- Research Data Scientist @ (October 2024 - Present)
- Machine Learning Engineer @ (June 2024 - September 2024)
- Machine Learning Engineer @ (January 2024 - June 2024)
- Data Scientist @ (April 2023 - January 2024)
- Associate Data Scientist @ (June 2022 - April 2023)
- Founding Machine Learning Engineer, CTO @ (February 2023 - September 2023)
- Research ML Engineer @ (May 2020 - June 2022)
- Research NLP Engineer @ (November 2020 - May 2021)
- Learning Assistant @ (January 2020 - June 2020)
- Private Tutor and CEO @ (March 2016 - December 2021)
Daniel Frees Education
- Stanford University
MS (Statistics and Data Science)
2023-2025 - UCLA
BS (Computational Biology, Data Science Specialization)
2018-2022
Daniel Frees Skills
- Algorithms
- Amazon Web Services (AWS)
- Artificial Intelligence (AI)
- Bioinformatics
- C (Programming Language)
- C++
- Cascading Style Sheets (CSS)
- Common Lisp
- Cypher Query Language
- Data Analysis
- Data Cleaning
- Data Science
- Data Scraping
- Data Structures
- Financial Modeling
- Google Cloud Platform (GCP)
- Graph Theory
- HTML
- Hadoop
- IBM Cloud
- IBM Watson
- JavaScript
- LLM Fine-Tuning
- LaTeX
- Leadership
- Linux
- MATLAB
- Machine Learning
- MapReduce
- Mentoring
- MongoDB
- Natural Language Processing (NLP)
- Neo4j
- NoSQL
- Pandas (Software)
- Project Management
- Prompt Engineering
- Python
- Regular Expressions
- SQL
- Software Development
- spaCy
Daniel Frees Summary
- Daniel Frees, based in California, United States, is currently a Research Data Scientist at Google. Daniel Frees brings experience from previous roles at Apple and IBM. Daniel Frees holds a 2023 - 2025 MS in Statistics and Data Science @ Stanford University. With a robust skill set that includes Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Bioinformatics, C (Programming Language) and more. Daniel Frees has 5 emails on RocketReach.
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