Daniel C.

Data Scientist | Machine Learning Engineer | UC Berkeley Data Science Graduate Student

Role
Machine Learning Engineer at Wilson Sonsini Goodrich & Rosati
Location
San Francisco, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Daniel C.

I am a machine learning engineer whose expertise includes crafting scalable ETL…

Experience

  1. Machine Learning Engineer

    Wilson Sonsini Goodrich & Rosati

    Jun 2022 — Present · San Francisco, CA, US

    ML Projects- Achieved 94% accuracy on operational strategy XGBoost model to classify attorney time-entry narratives- Collaborated with cross-functional teams and SMEs to correct mislabeled data; reduced error by 35%- Developed and executed training pipeline for explainable regression model to drive client intake strategy- Engineered prompts and tuned LLM parameters to reduce Azure OpenAI RAG hallucination by 30%.Data Management- Managed full stack of 12 dashboards: Python/SQL ingestion and cleaning, Azure CI/CD, PowerBI interface- Wrote, tested, and deployed 20 PySpark ETL scripts totaling lines- Designed and optimized ER models across 30+ sources using Power BI, reduced latency by up to 80%.

Education

  • Stanford University

    B.S., Mathematics - Minor in Music

    2020

  • Illinois Mathematics and Science Academy

    High School Diploma

    2016

  • UC Berkeley School of Information

    Master of Science - MS, Information and Data Science

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Daniel C. — Machine Learning Engineer at Wilson Sonsini Goodrich & Rosati in San Francisco, CA, US | Unifers