about

BIOGRAPHY

I lead the strategy, design, and development of OPAL's healthcare SaaS platform to streamline operations and drive measurable impact for provider-led practices. I’ve gained a strong command over my technical toolkit that includes Azure services, dbt Cloud, Snowflake, Alteryx, Qlik, PowerBI, and Tableau—leveraging them to solve complex business problems across industries.

With a proven track record of delivering measurable outcomes and advocating the significance of analytics, I bring a thoughtful and precise approach grounded in technical fluency and business alignment. I have passion for advancing the frontier of data strategy and empowering organizations to become truly data-driven.

SKILLS

Python
SQL
R
JavaScript
html
dbt
Snowflake
Qlik
Alteryx
Azure
Salesforce
Slate
Tableau
React.js
Next.js
Tailwind CSS
Framer Motion
Machine Learning
Neural Networks
Decision Trees
Time Series
Financial Modeling
Statistics
Microsoft Office
Git
Jira
Figma

FULL-TIME EXPERIENCE

Head of Product
OPAL

Overseeing the end-to-end lifecycle of product feature design—from MVP to UAT and production—through agile sprint planning, QA oversight, and release management.

Defining and maintaining backend–frontend data contracts to align the platform’s Next.js frontend with backend APIs and analytics pipelines.

2025 – Present
Analytics Engineer
Northeastern University

Designed scalable Snowflake data structures and introduced dbt Cloud to modernize data transformation workflows.

Collaborated with engineers and analysts to improve data quality, automate pipelines, and deliver clean, analysis-ready datasets.

2023 – 2025
Lead Data Analyst
Gray Decision Intelligence

Designed custom analytics tools for clients with a focus on financial modeling and program economics.

Used SQL and Qlik to integrate large datasets and uncover insights.

Collaborated directly with clients through demos and working sessions.

2022 – 2023

EDUCATION

M.S. Data Analytics
Northeastern University
Focused on data engineering, predictive modeling, and advanced analytics, with hands-on projects in Python, R, and cloud technologies.
Jan 2024 – Jun 2025
B.S. Actuarial Science & Applied Statistics
Purdue University
Emphasized statistical modeling, risk analysis, and data interpretation. Included relevant coursework in probability theory, regression analysis, and time series.
Aug 2018 – May 2022