Resume

Below is a summary of my professional contributions, skills, and accomplishments. For portability and more detailed information, please click the pdf icon in the upper right to download my latest resume.

Basics

Name Sarah Amiraslani
Label Data Scientist | Quantitative Analyst | Developer Relations Specialist
Email sarahamiraslani@gmail.com
Url https://sarahamiraslani.github.io/
Summary Driven Data Science and Analytics professional with a passion for solving complex problems.

Work

  • 2022.09 - Present
    Data Scientist
    NVIDIA, Santa Clara, CA

    TBA.

    • Data Science
    • Data Engineering
    • Generative AI
  • 2022.04 - 2024.09
    Quantitative Analytics Specialist
    Wells Fargo Bank, N.A., San Francisco, CA

    As the lead technical contributor to the AI/ML developer relations program, I drove a 60% boost in model development efficiency and a 150% increase in AI/ML tooling adoption. I enhanced collaboration across internal business units and with vendors on diverse use cases. Through strategic coordination, I reduced model time-to-market by 20% and generated $1 million in value, significantly elevating our program's visibility company-wide.

    • Data Science
    • Machine Learning
    • AutoML
    • Developer Relations
    • Technical Writing
    • Public Speaking
  • 2021.09 - 2022.04
    Data Science Intern
    Changing Room, INC., New York, NY (Remote)

    I engineered data mining and ETL pipelines, developing Python programs to scrape terabytes of fast-fashion brand data and optimize its storage for machine learning. Collaborating with model developers and UX engineers, I created an AI-driven recommendation system, deployed as a Chrome plugin, to promote sustainable and ethical shopping choices.

    • Python Scripting
    • Web-scraping
    • Relational Database Management
    • PostgreSQL
  • 2020.12 - 2021.07
    Data Analyst
    Trackonomy Systems, INC., San Jose, CA

    Engineered a Python-based computer vision system for manufacturing quality control, reducing annual material waste by $115,000 and boosting production efficiency by 65%. Collaborated with engineering and operations teams to implement a real-time analytics pipeline, enabling proactive issue detection and cutting downtime by 40%.

    • Data Analysis
    • Data Visualization
    • Statistical Analysis
    • Data Management
  • 2019.08 - 2019.12
    Teaching Assistant and Tutor
    University of California, San Diego, San Diego, CA

    Lead office hours and tutoring sessions for undergraduate cognitive science majors learning Python programming and data science, earning high ratings from students for clarity and support.

    • Python
    • Teaching
  • 2018.12 - 2021.12
    Research Assistant
    University of California, San Diego, San Diego, CA

    Conducted independent research on cognitive behavioral neuroscience, focusing on experimental design, data analysis, and visualization for my thesis project. For more details, visit my thesis page.

    • Experimental Design
    • Data Analysis
    • Data Visualization
    • Statistical Analysis
  • 2017.12 - 2018.12
    Research Assistant
    University of California, San Diego - School of Medicine, San Diego, CA

    Assisted in research projects focusing on archival data analysis, data visualization, and statistical analysis.

    • Archival Data Analysis
    • Data Visualization
    • Statistical Analysis
    • Data Management

Education

  • 2021 - 2024
    University of Michigan, Ann Arbor
    Applied Data Science, Masters of Science (MS)
    GPA 3.9/4.0
    Thesis: Understanding the in-situ Solar Wind Properties with Machine Learning
    Courses: Data Science, Machine Learning, Deep Learning, Natural Language Processing, Data Structures and Algorithms
  • 2017 - 2020
    University of California, San Diego (UCSD)
    Cognitive Behavioral Neuroscience, Bachelors of Science (BS)
    GPA 3.9/4.0, Magna Cum Laude with Honors
    Thesis: Drawing to Learn Abstract Science Concepts
    Courses: Neuroscience, Cognitive Psychology, Statistics, Research Methods, Calculus I - III, Linear Algebra, Python Programming

Awards

  • 2020
    Norman Henry Anderson Excellence in Research
    UCSD Psychology Department
    Awarded for excellence in research among my cohort of honors students.
  • 2020
    Departmental Honors
    UCSD Psychology Department
    Received honors for completing an independent research project. Following two years of research experiments, my thesis investigated the use of drawing as a tool in STEM education to learn abstract concepts that lack a definitive form.
  • 2018
    Chancellor's Undergraduate Research Scholarship
    UCSD Office of the Chancellor
    Granted for exceptional undergraduate research conducted in the Psychiatry department. My project explored the relationship between adverse life events and disordered eating behaviors among young girls in the juvenile justice system.

Skills

Data Science
  • Machine Learning
  • Statistical Analysis
  • Information Visualization
  • Natural Language Processing
  • Network Analysis
  • Time Series Modeling
  • Data Management
  • Deep Learning
Programming
  • Python
  • SQL
  • Linux/Unix
  • R
  • MATLAB
  • HTML
  • CSS
  • JavaScript
Tools
  • Git
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Tableau
  • Power BI
Soft Skills
  • Collaboration
  • Communication
  • Problem Solving
  • Critical Thinking
  • Leadership
  • Project Management

Languages

Farsi
Native speaker
English
Fluent
Spanish
Advanced
8 years of study
French
Intermediate
6 years of study