Resume

Summary

Results-focused data professional with a track record of driving business growth through data science, engineering, and machine learning. Skilled in developing ETL processes, building data pipelines, conducting A/B tests, and leveraging data science techniques for actionable insights. Proficient in SQL, Python, dbt, Azure, and data visualization tools, with expertise in analyzing complex datasets. Holds an M.S. in Data Science. Passionate about bridging engineering and analytics to create impactful solutions and optimize business performance.

Work Experience

Data Engineer

Ahold Delhaize USA

2024 – 2024
Boston, MA
  • Created optimized data models for Vendor Master Data Management and implemented efficient ETL processes for seamless data integration.
  • Worked with Unity Catalog in Azure Databricks, ran UCX assessments, and built a system table dashboard to track key metrics.
  • Conducted detailed inventories on Azure Virtual Machines and developed a proof of concept for a real-time data pipeline using Delta Live Tables.
Data Scientist

Guild Education

2021 - 2023
Boston, MA
  • Served in various roles, focusing on data science and analytic engineering.
  • Analyzed large datasets using SQL, Python, dbt, and Looker, providing tailored insights and conceptual designs for business objectives.
  • Built a decision tree model to identify self-service users, reducing coaches' contact time.
  • Conducted A/B tests for enhanced retention and engagement, delivering real-time insights and quick analysis to stakeholders. Engineered metrics and a dbt model to centralize data, empowering Marketing Ops decisions.
  • Designed and implemented a Looker dashboard to facilitate performance exploration and evaluate strategies over time for Marketing Ops.
  • Contributed to an NLP Hackathon, creating a pip-installable GitHub repository for easy text data processing and analysis.
Data Analytics

DevTech Research Group, Tufts University

2019 – 2021
Medford, MA
  • Served in different roles, focusing on data analytics.
  • Collaborated with Ph.D. students to curate and refine variables for meaningful data analysis.
  • Utilized Python to identify, analyze, and interpret trends and patterns in ScratchJr app user data.
  • Designed and deployed databases and data collection systems with PostgreSQL.
  • Analyzed intricate user data using Google Analytics and Firebase.

Education

  • Tufts University - M.S Data Science
  • Tufts University - B.S Data Science
  • Bunker Hill Community College - A.S Computer Science