About Me

Machine Learning Engineer II - Data Scientist

Circana (Formerly NPD Group)

New York, NY

11/2021 — present

• Research and develop unsupervised anomaly detection methods to score hierarchical time-series anomalies
• Develop univariate and multivariate scoring metrics, ranking algorithms for model selection and model results
• Refactor disparate teams’ existing anomaly detection codebases into a single unified framework
• Engineer SQL queries and stored procedures, automate ETL processes for data science analyses and reporting
• Design and implement a scalable DAG pipeline using object-oriented best practices and SOLID design principles
• Reduce model runtime by 94% by implementing multiprocessing, dynamic imports, and lazy execution
• Reduce noise in text features by 12% by engineering a battery of semi-supervised and unsupervised methods
• Research and deploy Word Segmentation, Word Sense Disambiguation, and OCR error correction techniques
• Automate training and logging of mlflow experiments of custom meta-classifiers on Azure Databricks
• Develop custom transformers and estimators in Python, leveraging inheritance from Scikit-Learn base classes
• Spearhead documentation effort by developing internal standards for code development and documentation
• Author and maintain Data Science team’s Wiki pages for project descriptions and research logging

Process Control & Operations Analyst

NPD Group

Port Washington, NY

08/2019 — 11/2021

• Implemented automated solutions to address key pain points in collaboration with multiple process leads
• Automated data validation using Python and Selenium, resulting in new client contracts
• Developed a Python script to to reduce monthly manual hours spent on open-end survey responses translation by 75%

Summer Associate

NPD Group

Port Washington, NY

06/2019 — 08/2019

• Enhanced data consistency by normalizing large corpora of brand names and retailer names using Python
• Scripted monthly data quality and schema integrity checks for staging server of flat file reports
• Presented project results and actionable next steps to senior leadership and executives

M.S. Data Science

St. John's University

Queens, NY

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B.S., Computer Science

St. John's University

Queens, NY

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