Rachel Gao


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Data science graduate student at UC Berkeley with hands-on Python and SQL data analysis and machine learning experience, a passion for responsible AI, and a flexible academic schedule allowing for a full-time work commitment.

Six years in Big Four consulting leading multidisciplinary teams to serve clients across varying industries, with proven ability to leverage analytical skills to solve multifaceted business problems and motivate data-driven decision-making. Strong communication skills and experience in presenting data-driven insights and recommendations to diverse stakeholders, with integrity and ethical conduct as central principles.



EDUCATION

University of California, Berkeley

Master of Information and Data Science

GPA: 4.0 out of 4.0

Anticipated 2024

Relevant Coursework:

Statistics | Applied Machine Learning | Machine Learning at Scale | Data & Systems Engineering | Modern Data Application | Natural Language Processing


SKILLS

Programming Languages

• Python
• SQL
• NoSQL
• R
• CLI
• C
• HTML
• CSS
• JavaScript

Data Analysis & Management

• NumPy
• Pandas
• PostgreSQL
• MySQL
• SQLite
• Neo4j
• MongoDB
• Redis

Machine Learning

• HuggingFace
• Scikit-Learn
• TensorFlow
• Keras
• PyTorch
• Spark
• Hadoop

Cloud Computing

• Amazon Web Services
• Google Cloud Platforms
• Microsoft Azure

Deployment

• Docker
• Kubernetes
• FastAPI
• Flask & Django

Visualization

• Matplotlib
• Seaborn
• Geopandas
• Tableau
• PowerBI
• Alteryx
• Qlik

Code & Env Management

• Git
• GitHub
• Visual Studio Code
• Poetry
• Anaconda
• Jupyter Notebooks
• Google Colab
• RStudio

EXPERIENCE

UC Berkeley School of Information

Teaching Assistant: 2024 - Present

  • Actively engaged with students to deepen their understanding of NLP concepts and tackle complex homework questions in regularly hosted office hours and online forums. Provided valuable guidance in formulating problem statements, debugging student code, and resolving version conflicts through Git.
  • Collaborated closely with course instructors to grade homework and provide timely feedback. Created comprehensive walkthrough notebooks to showcase critical NLP topics, such as the distinction between pretraining, finetuning, and continue-pretraining, with a project-driven approach to empower students inside and outside of the classroom settings.
  • Leveraged problem-solving and communication skills to foster a positive and supportive learning environment by quickly adapting to diverse working styles and learning paces.

KPMG LLP

Manager: 2021 - 2022

Senior: 2018 - 2021

Associate: 2016 - 2018

  • Managed seamless integration of multidisciplinary talents to analyze large-scale data efficiently and deliver data-driven and impactful deliverables and presentations to clients across diverse industries, including technology, renewable energy, manufacturing, pharmaceuticals, and more, in both private and public sectors.
  • Facilitated insightful dialogue between internal and external stakeholders, ranging from firm leadership to C-suite executives, conveying business planning strategies while nurturing meaningful client connections.
  • Partnered with directors and engineers to streamline the automation of financial forecasting models for a Fortune 100 company. Played an instrumental role acting as a subject matter expert and providing valuable contributions to the successful deployment while incorporating proper governance controls and risk management guardrails.

CERTIFICATIONS

AI For Good Specialization

DeepLearning.AI

Issued: 2024

Databases: Relational Databases and SQL

Stanford Online

Issued: 2022

CS50 Series: Programming with C, Python and Javascript

Harvard Extension

Issued: 2022

Certified Public Accountant

California License: 136366

Issued: 2018


HOBBIES

Outside of my work, I enjoy going out for hikes and road trips ๐Ÿ” with my husband and our pets, Tofu ๐Ÿถ and Tux ๐Ÿฑ. I'm also a big fan of cars and Formula 1 racing ๐ŸŽ๏ธ, but I also enjoy knitting and crocheting ๐Ÿงถ when I'm taking it easy. Ask me about where we've recently travelled to, or what items I've been making lately!