Gregory Jacobs
Elm Grove,Wisconsin
Summary
Skilled full stack Data Scientist/Machine Learning Engineer experienced in all stages of a data science project lifecycle, including data ingestion, data cleaning and pre-processing, feature extraction/engineering, iterative model training, model validation and evaluation, model productionalization, and monitoring model performance in post-production. Strong analytical thinker and persuasive communicator developed from previous role as business litigator.
Overview
5
5
years of professional experience
Work History
Senior Machine Learning Engineer
PEARSON
09.2021 - Current
- Currently serve as Tech Lead of team responsible for training, evaluating, productionalizing, and monitoring machine learning models that provide scores for narrative student answers to standardized test questions. Regularly research and apply modern NLP modeling techniques and provide to customers granular model performance metrics in order to incorporate model improvements in real time. Team also responsible for maintaining operational models scoring millions of text-based student test responses annually.
- Participate in regular cross-team strategic meetings with responsibilities for setting short and long-term technical improvements initiatives for automated scoring team
- Serve as point person for initiative to incorporate Generative AI and LLM-based technologies into team’s workflows and modeling strategies
- Built RAG framework using generative LLMs to improve and enhance internal team processes
- Completed Pearson VUE's Generative AI Foundations certification course
- Remote
Data Scientist - Supply Chain
CLARIOS, LLC
07.2020 - 09.2021
- Served as a full-stack supply chain data scientist responsible for overseeing and implementing best practices at every stage of a project lifecycle, including data collection, data preprocessing/cleaning, exploratory data analysis and descriptive analytics, feature engineering, model selection, model implementation/tuning, and model employment into production. Frequently interfaced with decision-makers from various segments of the business to provide targeted analysis, to influence improvements in business processes, and to improve bottom-line profitability
- Developed and maintained the company-wide data science cloud environment hosted on Microsoft Azure
- Built and implemented multiple demand forecasting models to improve supply chain forecasting accuracy by 5-10% for key customers by leveraging weather data
- Developed end-to-end application to scrape NOAA website for daily weather data, ingest and preprocess data into usable format, and export data to SQL database for consumption across the organization
- Served periodically as essential resource to resolve programming and other technical-related issues
Education
Springboard Data Science Career Track - NLP Specialization
01.2020
Udacity AI Programming with Python Nanodegree - undefined
01.2019
Catholic University of America Columbus School of Law - undefined
01.2006
Villanova University - Major, Finance, Minor, Marketing
01.2002
Skills
SOFTWARE AND PROGRAMMING LANGUAGES
Python (NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn, NLTK, Huggingface, SpaCy, Gensim, PyTorch, PyMC3, PySpark), Docker, SQL, TensorFlow, PyCharm, Jupyter Notebooks, AWS (Bedrock), Splunk, Postman, Jenkins, Azure (ML), Snowflake, Git, GitHub, GitLab, Excel, Word, PowerPoint
MACHINE LEARNING TECHNIQUES
Generative AI (OpenAI, Claude, Llama), Transformers (Huggingface), Natural Language Processing, Regression, Clustering, Support Vector Machines, Decision Trees/Random Forest, Multinomial Naive Bayes, Ensemble Methods (Gradient Boosting/XGBoost), Principal Component Analysis (for dimensionality reduction), Time Series (ARIMA, SARIMAX), Neural Networks, Transfer Learning
PROJECT MANAGEMENT
Agile Project Management processes, JIRA, LucidChart, Microsoft Teams, Slack
PREVIOUS LEGAL EMPLOYMENT
Stafford Rosenbaum LLP
Business Litigator
2017 to 2020
- Served as regional defense counsel for major automobile manufacturer handling comprehensive portfolio of product liability, federal Magnuson-Moss Warranty Act, and state breach of warranty claims. Attended vehicle and site inspections and managed outside experts to ensure client presents a persuasive and cost-effective defense to all claims. Represented manufacturer in mediations, negotiations, and other alternative dispute activities and provided practical analytical advice regarding settlement of claims. Regularly participated in regional and national product liability defense conferences to maintain knowledge of cutting-edge developments in the industry.
- Assisted in the successful mediation of multi-million dollar motor vehicle product liability litigation matter involving defective seatbelt, defective airbag, and uncrashworthy vehicle claims;
- Represented manufacturer in complete defense of seven-figure damages claims arising from alleged defective airbag and improper gear-shifting claims;
- Mediated and/or negotiated settlement of numerous breach of warranty litigation matters claiming engine transmission defects;
- Regularly attend multi-day client-sponsored automobile product liability litigation defense training for all regional defense counsel nationwide
Kilpatrick Townsend & Stockton LLP
Business Litigator
2010 to 2016
- Served as key advisor to corporate clients in defending against allegations of liability and recovering related insurance proceeds arising from a wide range of circumstances, including claims of product liability, product recall, asbestos-related bodily injury, environmental liability, and trademark, copyright, and patent infringement. Performed comprehensive insurance policy reviews and provided risk management advice in connection with insurance renewal negotiations with insurers and brokers for numerous manufacturing clients.
- Represented major commercial and government shipbuilder in recovering more than $500 million from primary and excess insurers in connection with catastrophic Hurricane Katrina property damage and business interruption losses
- Advised major specialty chemical manufacturer in the recovery of insurance proceeds for remediation costs arising from allegations of environmental damage caused by predecessor-in-interest’s plant operation activities
- Assisted international chemical manufacturer in the recovery of insurance proceeds for over $10 million in losses resulting from a property damage event to a supplier’s equipment located at client’s international manufacturing site in the Netherlands
Dickstein Shapiro LLP
Business Litigator
2006 to 2009
- Performed tasks involving all stages of pre-trial litigation and arbitration proceedings, including preparing for and conducting expert and fact witness depositions, and drafting substantial portions of federal motions and substantive written arbitration submissions.
- Assisted global automotive manufacturing company in the recovery of hundreds of millions of dollars in insurance proceeds in connection with the defense and settlement of nationwide asbestos-related bodily injury claims
Timeline
Senior Machine Learning Engineer
PEARSON
09.2021 - Current
Data Scientist - Supply Chain
CLARIOS, LLC
07.2020 - 09.2021