Katherine Blackwell
@katherineblackwell
Data science and analytics researcher building ML and visualization solutions to optimize real-world decisions.
United StatesWhat I'm looking for
I’m a data science and machine learning researcher focused on turning large, messy datasets into actionable insights. At New York Institute of Technology, I analyzed 10,000+ scheduling and enrollment records across 58 academic departments, building utilization dashboards and congestion visualizations in Python and Tableau to support campus-wide allocation decisions.
I also develop end-to-end modeling pipelines—from computer vision work (improving behavioral classification accuracy from 65% to 87%) to an LLM-assisted NLP therapist recommendation system that increased Precision@1 from 29.6% to 74.1% while returning recommendations in under 50ms. I bring an applied, results-driven mindset shaped by consulting experience delivering data-driven hiring recommendations and securing signed client agreements.
Experience
Work history, roles, and key accomplishments
Analyzed 10,000+ scheduling and enrollment records across 58 academic departments to identify bottlenecks and classroom utilization inefficiencies. Built utilization dashboards and modeled curriculum pathways and classroom redistribution scenarios to support long-term space planning decisions.
Mentored 40+ undergraduate and graduate students in SQL, relational database design, and database management concepts to improve query development and troubleshooting. Used AI-assisted tools and SQL workflows to troubleshoot assignments and reduce manual debugging time.
Implemented automated video preprocessing workflows using Python and OpenCV to reduce manual data cleaning and improve behavioral classification accuracy from 65% to 87%. Built feature extraction pipelines with OpenCV and NumPy to convert unstructured video into machine learning-ready behavioral datasets for predictive modeling.
Consultant
Phaidon International
Jul 2023 - Mar 2024 (8 months)
Conducted quantitative and qualitative market analysis to deliver data-driven hiring recommendations to clients. Ranked among the top 3 consultants for five consecutive months and secured signed agreements with two clients by translating market insights into actionable hiring strategies.
Education
Degrees, certifications, and relevant coursework
New York Institute of Technology
Master of Science, Data Science
Grade: GPA 3.78
Master of Science in Data Science with a GPA of 3.78, completed in December 2025.
Fordham University
Bachelor of Arts, Communications & Culture
Bachelor of Arts in Communications & Culture, completed in May 2023.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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