Emily Ramond

About Emily Ramond

I have graduated from UCSD with a B.S. in Data Science and am passionate about practicing data science and machine learning to solve real-world problems and discover practical solutions. I have experience in python, SQL, java, machine learning (TensorFlow, PyTorch), data mining, AWS, data engineering/pipelining, causal discovery and inference, blockchain, probabilistic modeling, analytics, visualizations, Tableau, PowerApps and more.

Experience

1. Data Scientist

   Deloitte

   Jul 2022 — Present

   Consultant- Created data automation product to improve speed of updating and up-keeping stakeholder data for over 90 agencies in the State of Illinois by 90%- Facilitate meetings with clients regularly to engage on technical need and requirements for projects- Create, update, and maintain python scripts, dashboards and pipelines with Tableau- Improved runtime of scripts for monthly analytical updates by 85%- Lead UCSD\'s \"Capstone\" program, teaching lectures, guiding students, and mentoring their senior projects in Fairness & Bias in AI / Generative AI- Instruct and mentor UCSD students for two quarters, overseeing senior capstone projects and grading progress while updating class content- Earned second place by leading a team through the end-to-end development of a machine learning algorithm in six weeks to detect contradictions in policy documents- Developed a fast and versatile ML model that swiftly identified contradictions across various contexts, processing documents in under an hour- Drove product design and research by investigating open-source solutions, informing the development of our algorithm for contradiction detection.

Education

• Frederick Community College

  Associate's degree

  2017 — 2019

• University of California San Diego

  Data Science

  2019 — 2022