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IT
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Work Background
AKAIO by Kyra GroupVice President of Artificial Intelligence
Feb. 2024Cambridge, Massachusetts, United States- Python ETL development - Graph schema development (Neo4j)
- Clustering using UMAP & HDBSCAN
- Prompt Engineering and Content Generation using Ollama/Open Source LLMs (Vicuna, Qwen2.5, Nemotron, Llama3.2/3)
- Integrated POC Development using Python/Dash (Flask)
- Product Strategy
- Team mentoring & management
- Technical support for Investor pitches
Publicis SapientDirector Data Science
Apr. 2022 - Apr. 2023- ChatGPT integration POCs to support dynamic,, persona-driven, hyper-personalized messaging and product descriptions
- ChatGPT integration POC to develop Propensity to Buy model and assemble product bundles for Life Science Manufacturing companies
- POC development for location detection using BLE sensor data
- Strategic oversight of DS/AI growth activities
- Hire, manage, mentor 7 direct, 15 indirect reports
BigBear.aiPrincipal Data Scientist
Aug. 2021 - Feb. 2022- Developed a multi-class XGBoost text classifier to predict the country of origin for news articles from non state-owned media sites
- Prototyped an 'events' classifier based on posts and comments scraped from Reddit that might indicate delays to national supply chains
- Drafted SOWs and RFPs to support Commercial and Public Sector pursuits Technologies: Python- Pandas, Scikit Learn, Plotly/Dash, NLTK, Gensim, Topic Modeling/LDA; AWS ecosystem (S3,Athena,ec2)
Next Phase Solutions and Services, Inc.Program Technical Lead, Solutions Engineering (contract)
Dec. 2020 - Aug. 2021Technical oversight for enterprise Data Lake migration program, leveraging AWS ecosystem, Amundsen, Neo4j and Elastic Search. Hands on technical development (python) to support ETL processes. Technical team-building/management. Collaboratively developed RFP responses to support business development vis a vis unstructured analytics with EHR data
ePlus Technology, IncArea Practice Director- AI & Machine Learning
May. 2019 - Sep. 2020Hartford, Connecticut Area- Focused on surfacing actionable insights from Electronic Health Records (EHR)
- Designed/Architected/Programmed a readmission classifier 'Appliance'- a complete workflow (written in python and using Apache Airflow for orchestration) that leverages ML and Deep Learning algorithms to predict the likelihood of a 30-day readmission
- Appliance is a completely air-gapped solution that ships preinstalled on moderately priced GPU accelerated OEM hardware (Cisco c240, NetApp HCI)
- Target market includes community hospitals and urgent care centers that don't have millions of dollars to invest in the necessary engineering and tech resources required to build a comparable solution (but do have an IT budget)
- Managed and grew a team from 1 Data Scientist, to 7, including software engineers, hardware engineers, developers and testers
- Appliance is completely ‘EMR Agnostic’ and can work with any EMR (Epic, Cerner, Allscripts, etc) to amplify the value of the data stored in the EMR Tech Highlights include:
- Intensive feature engineering from unstructured notes filed and stored in the EMR
- Features are then combined with other data in the EMR and fed into an Automated Machine Learning pipeline
- Output (probability of a 30-day readmission, on a per/patient-level) is then appended to the patient record and written back to the EMR
- Algorithms leverage Shallow Neural Networks (word vectors) and Latent Dirachlet Analysis ('LDA') to identify thematic information related to Readmissions
- Includes Interactive Visualizations (plotly+Dash/Flask) to provide non-technical users with the ability to investigate themes associated with patient readmissions
- Authored marketing collateral, proposals and social media messaging to help evangelize the Appliance
Rensselaer Polytechnic Institute at HartfordLecturer: Analytics & Machine Learning- School of Engineering & Science (Part-time)
May. 2019 - Aug. 2020
Rensselaer Polytechnic Institute at HartfordBusiness Analytics Curriculum Developer
Mar. 2019 - Jul. 2019Curriculum development for Business Analytics certificate program
ZylotechPrincipal Data Scientist
Apr. 2018 - Jan. 2019Cambridge, Massachusetts- Hire and mentor team of data scientists
- Architect/code(Python) auto-ml pipeline for unifying customer data sourced from multiple disparate systems
- Algorithm development for embedded analytics models to support marketing activities, including RFM and Propensity to Churn models
- Patent applications preparation
- Product Development Roadmap definition and planning
Baker Tilly Virchow Krause, LLPDirector Business Analytics
Apr. 2015 - Apr. 2018Architected and developed (Python/Oracle Big Data Discovery) market surveillance platform to support adverse event detection in various social media channels. Developed web crawler/scraper using Python (Beautiful Soup, Pandas). Architected semi-automated Fraud auditing platform to expedite largely manual review workflows. Lead unstructured data analytics business development activities with a focus on using Python/SAS and/or Knime for analyses
VariedSenior Researcher
Feb. 2005 - Sep. 2014The early part of my career was spent writing Grants/RFPs, and conducting primary/secondary/UX research in Healthcare, Life Science, and Education, including roles at Factset, Oracle and Novartis
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Looking to transition into Tech./. Former sales Representative and have very good Communication skilss @ @NikeStore