Experience

Work
Education
Mar 2026 — Present
AI Extern, Wayfair
Extern - Remote
  • Building AI agents using n8n to automate trend detection, competitor tracking, and content generation.
  • Trend analysis across home goods — pricing shifts, product launches, demand patterns.
  • Live-updating Google Sheets dashboard integrating trend signals and AI-generated insights.
  • Designing structured data pipelines for competitive intelligence reporting.
n8nAI AgentsPythonGoogle SheetsTrend Analysis
Feb 2026
M.S. Data Science — Graduated
University at Buffalo · GPA 3.9/4.0
  • Completing Master of Science in Engineering Science — Data Science.
  • Graduate research in ML pipelines, data engineering, and applied analytics.
Data ScienceM.S.GPA 3.9Graduation
Aug 2025
TA — Statistical Learning II
University at Buffalo
  • Bayesian ML, clustering, Gaussian mixture models, and Gaussian processes.
  • Weekly office hours and project mentorship in R.
  • Helped students build reproducible modeling pipelines.
RBayesian MLGaussian ProcessesClustering
Feb 2025
Senior Research Aide — Data Science
Center for Computational Research, UB
  • Applied ML models to 100K+ record datasets — improved accuracy from 14% to 62%.
  • Python ETL pipelines for feature engineering and model training.
  • KPI dashboards and recurring reports for cross-functional stakeholders.
  • Reproducible ML workflows with cross-validation and F1/precision/recall evaluation.
Pythonscikit-learnpandasML PipelinesPower BI
Aug 2024
M.S. Engineering Science — Data Science
University at Buffalo
  • Advanced coursework in ML, statistical learning, and data engineering.
  • Bayesian methods, applied ML, and large-scale data systems.
  • Maintained a 3.9 GPA across all graduate coursework.
Data ScienceMachine LearningStatistical LearningGPA 3.9
May 2024
B.S. Computer Science — Graduated
University at Buffalo · GPA 3.73/4.0
  • Completed Bachelor of Science in Computer Science.
  • Graduated after 4 years of coursework and research.
Computer ScienceGPA 3.73Graduation
Jan 2024
TA — Software Quality in Practice
University at Buffalo
  • Led biweekly lab sessions for 27 students on debugging and software quality.
  • Guided fault isolation, root cause analysis, and test-driven debugging.
  • Technical feedback on testing workflows and code quality.
DebuggingStatic AnalysisTestingCode Quality
May 2023
Research Intern — Data Analysis
Center for Computational Research, UB
  • Reduced algorithm runtime from 40 min → 5 sec by reengineering in C++ (Rcpp).
  • Statistical time-series analysis of system usage patterns in R.
  • Presented at PEARC Conference peer-reviewed poster session.
RC++OpenMPITime-SeriesPEARC
Aug 2020
B.S. Computer Science
University at Buffalo
  • Computer Science — algorithms, data structures, software engineering.
  • Foundations in mathematics, statistics, and computational thinking.
  • Led Gold Team in UB Network Defense competition (2023).
Computer ScienceAlgorithmsSoftware Engineering