I'm a versatile Data Scientist with 4 years of experience in big data analytics, visualization, ML/AI, and data engineering.
Data science is a perfect blend of what I'm good at and what I'm passionate about. While I have a knack for quantitative work, what ultimately drives me is the desire to make positive and meaningful impacts.
My specialty lies in deriving actionable insights from unstructured data to drive strategic decisions and tackle real-world problems. This can manifest in various forms, from an automated dashboard that detects anomalies in a recruiting pipeline, to an in-depth analysis that exposes racial disparities, or a machine learning model that predicts green energy production to optimize resource planning.
I've led several end-to-end data science projects that made tangible impacts — like reducing hospital admissions by 24% and increasing $30M in revenue for a network of healthcare providers, or designing and analyzing marketing metrics that led to successful market expansion into three new cities. Right now, I’m building a scalable chatbot that empower professors with real-time, data-driven insights to better improve student learning outcomes. These tangible outcomes not only highlight my technical capabilities and adaptability but also is a testament to my commitment to drive data-driven growth and make positive impacts.
After 3+ years working in the industry, I decided to go back to school to further enhance my foundational knowledge, advance my technical skills, and stay in the forefront of GenAI and other emerging technologies. I will be graduating with a Master’s in Data Science from Boston University in December 2024.
- Google Cloud Platform, Microsoft Azure
- Docker, Linux, Kubernetes
- NLP, LLM, GenAI
- Applied AI Scientist Intern @ Boston University's GenAI Task Force (2024)
- Data Visualization Intern @ Boston University Sustainability (2024)
- Data Scientist @ Delaware Valley Accountable Care Organization (2021 - 2023)
- Data Science Fellow @ Tech Impact (2020 - 2021)
- Business Intelligence Analyst @ YPTC (2019 - 2020)
- Business Analyst Intern @ SAP (2018)
- Marketing & Communications Intern @ PwC (2017)
- Master of Science in Data Science @ Boston University
- Expected Graduation: December 2024
- Grace Hopper Celebration (GHC 24) Full Scholarship
- Teaching Assistant - AI & Ethics
- Computing & Data Science Merit Scholarship
- Bachelor of Science in Business Analytics & Marketing @ Drexel University
- Graduated with Honors: June 2020
- A.J. Drexel Merit Scholarship
- Honors Students Advisory Committee
- Ambassador - Women in Data Sciene (WiDS) Worldwide (2023 - 2024)
- Data Science Speaker - Women in Tech (WiT) @ Tufts University (2024)
- Hackathon Winner - BostonHacks x Major League Hacking (2023)
- Global Winner - Essity Global Marketing Challenge (2019)
- 2nd Runner - PwC Case Competition (2018)