Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Jared Andrews

Raleigh,NC

Summary

Hardworking and analytically-minded Machine Learning graduate with real-world experience in using statistics and machine learning to extract actionable insights from data. Experienced in developing and deploying end-to-end machine learning pipelines using modern tech stacks. With a continual-growth mindset, enjoys independent learning opportunities and applying these skills in a professional context. Effective communication and leadership skills developed in a wide array of team settings.

Overview

5
5
years of professional experience

Work History

Senior Data Scientist

ComponentWise Solutions
06.2023 - Current
  • Senior consultant for the US Citizenship and Immigration Services (USCIS) Transformation Science Services team, helping provide AI-powered services to the facilitate the legal immigration process
  • Lead development of named entity recognition application enabling automated targeted name and DOB harvesting from immigration documents, decreasing the entity extraction process cycle time by 140%
  • Implemented audio and text translation solution using Azure services allowing real-time translations during immigration interviews
  • Engineered process for developing Transformer-based models for document classification, enabling identification of unstructured, text-based document types
  • Contributed to analysis of document classification and text classification comparing performances of specific AWS/Azure offerings compared to general LLMs (specifically GPT-4)

Data Scientist

IBM
01.2021 - 05.2023
  • Lead expansion efforts of IBM's global hardware pricing ML application, which was responsible for a 30x reduction in deal cycle times, increased deal win-rates and improved gross profit margins
  • Devised and implemented new pricing approaches using gradient boosted quantile regression and probabilistic regression, which led to increased model performance and 20x volume reductions in ML models
  • Developed and refined hardware maintenance models that were responsible for reducing the need for the manual pricing of hardware maintenance service agreements
  • Optimized deal similarity application that enabled business sales groups to make more informed pricing decisions via easy access to similar historical deals
  • Built out the model development portion of MLOps process (optimize source SQL queries, refactor online/offline code bases, update hyperparameter tuning to use Optuna framework, develop standard model evaluation process across independent models)

Data Science Intern

IBM
06.2020 - 12.2020
  • Developed Publication/Subscription messaging service using Apache Kafka, Kubernetes, and Docker so that internal applications could communicate more effectively
  • Established data model for topics within Apache Kafka to ensure smooth flow of data from producer to consumer

Education

Master of Science - Computer Science, Machine Learning Specialization

Columbia University
New York, NY
05.2023

Bachelor of Science - Data Science And Probability & Statistics

University of California, San Diego
San Diego, CA
12.2020

Skills

  • Machine Learning (Pytorch, XGBoost, Numpy, Pandas, Scikit-learn)
  • Deep Learning
  • Statistical Analysis
  • Programming Languages (Python, R)
  • SQL
  • Git
  • MLOps (MLFlow, Kubeflow, Databricks)
  • Cloud Platforms (AWS, Azure, GCP)

Timeline

Senior Data Scientist

ComponentWise Solutions
06.2023 - Current

Data Scientist

IBM
01.2021 - 05.2023

Data Science Intern

IBM
06.2020 - 12.2020

Master of Science - Computer Science, Machine Learning Specialization

Columbia University

Bachelor of Science - Data Science And Probability & Statistics

University of California, San Diego
Jared Andrews