about

BIOGRAPHY

My work spans the design and automation of scalable data pipelines, the transformation of raw data into actionable insights, and the development of modern analytics solutions that inform high-impact decisions. 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

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 Analytics

Opal Align

Leading backend data architecture and infrastructure for a healthcare technology platform. Built HIPAA-compliant pipelines, integrated third-party data sources, and aligned backend systems with the Next.js frontend to support a seamless MVP launch and product scale-up.

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