about

BIOGRAPHY

As an Analytics Engineer at Northeastern University and a Master’s student in Data Analytics, I specialize in data engineering, workflow automation, and business intelligence. My background in Actuarial Science & Applied Statistics from Purdue University has strengthened my ability to analyze, optimize, and build scalable data solutions.

With hands-on experience that spans both my professional career and my collegiate career, I now excel at building data pipelines, developing interactive dashboards, and conducting deep-dive analytics to uncover insights that drive business outcomes.

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

FULL-TIME EXPERIENCE

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 – Present

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