Academic Excellence
Master's in Data Analytics Engineering — combining rigorous coursework in machine learning, data engineering, AI systems, and business analytics with real-world industry capstone work. Graduated with a 3.9 GPA from Northeastern University's Roux Institute in Portland, Maine.
Program Completion
Comprehensive Coursework
Advanced curriculum combining theoretical foundations with practical applications in data science, machine learning, and business analytics
Introduction to Analytics (R)
Comprehensive foundation in analytics using R programming. Mastered data wrangling, exploratory data analysis, statistical modeling, and advanced visualization techniques essential for biotech and healthcare research applications.
Database Management Systems
Real-world healthcare project with New Jersey clinic analyzing sleep health data. Applied advanced SQL techniques, database design principles, and data mining to explore correlations between sleep patterns and health outcomes.
Probability Theory and Statistics
Deep dive into statistical foundations including probability distributions, sampling theory, central limit theorem, hypothesis testing, and confidence intervals for robust biostatistical analysis and research design.
Intermediate Analytics
Advanced statistical modeling techniques including multiple regression, ANOVA, chi-square testing, and sophisticated model selection methods for data-driven decision making in research and clinical environments.
Communication and Visualization
Team leadership analyzing Netflix streaming data. Created interactive dashboards and compelling visualizations using Tableau, Power BI, and Python to effectively communicate complex insights to diverse stakeholders.
Introduction to Enterprise Analytics
Extensive Microsoft Excel training for business analytics. Mastered advanced techniques including pivot tables, scenario analysis, VBA automation, and sophisticated financial models for enterprise-level decision making.
Python and Analytics Technology
Developed comprehensive machine learning classification models for healthcare applications. Built predictive model for diabetes diagnosis achieving 94% accuracy using advanced ML algorithms and feature engineering.
Data Mining Applications
Large-scale big data analytics using Yelp dataset. Implemented advanced data mining techniques, real-time dashboards, AI-powered insights, and NLP for business intelligence and predictive analytics.
Experiential Learning Project
12-week industry collaboration with Wyman's (major US blueberry producer) on market analytics and product strategy for new protein blend launch. Applied comprehensive business analytics to agricultural biotechnology.
Predictive Analytics & Machine Learning
Advanced predictive modeling course with weekly hands-on projects. Mastered regression techniques, classification algorithms, ensemble methods, model selection, hyperparameter tuning, and performance optimization for real-world applications.
Fundamentals of Artificial Intelligence
Comprehensive study of AI systems architecture and intelligent agent design. Explored multiple agent architectures including simple reflex, model-based, goal-based, utility-based, and learning agents. Covered search algorithms, knowledge representation, planning systems, and ML foundations.
Data Governance and Responsible AI
Critical examination of ethical AI implementation, data privacy regulations, and governance frameworks. Studied GDPR, HIPAA compliance, bias detection and mitigation, fairness in ML models, explainable AI, and responsible data stewardship in healthcare and enterprise contexts.
Data Management and Big Data
Advanced big data technologies and distributed computing frameworks. Worked with Hadoop ecosystem, Spark for large-scale data processing, NoSQL databases, data lakes, cloud data warehousing, and scalable ETL pipelines for enterprise analytics.
Data Warehouse & SQL
Enterprise data warehousing architecture and advanced SQL for business intelligence. Dimensional modeling, star and snowflake schemas, OLAP operations, query optimization, indexing strategies, and building scalable data warehouse solutions.
Gorham Fire Department — Public Safety Analytics
Capstone analytics engagement with the Gorham, Maine Fire Department — a rapidly growing municipality facing increasing demand for emergency services. Applied geospatial analytics, call volume modeling, and demographic forecasting to answer a critical question: where should Gorham build its next fire station?
Learning Experiences
Industry visits, presentations, and collaborative learning moments throughout my academic journey at Northeastern
🎓 Graduation — Roux Institute
Celebrating the completion of the M.S. in Data Analytics Engineering at Northeastern University's Roux Institute. June 12, 2026.
Academic Presentation
Demonstrating advanced data visualization and communication skills through project presentations to faculty and industry mentors
Industry Visit – Allagash Brewing
Explored data-driven operations and quality control in craft brewing — discussing analytics applications in manufacturing and supply chain management
Google Cloud AI Event — RAG Agents
Hands-on AI workshop where I built and deployed Retrieval-Augmented Generation agents using Google Gemini, LangChain, and vector embeddings for intelligent document Q&A
Collaborative Projects
Working with peers on complex analytics challenges, machine learning implementations, and cross-functional data science projects throughout the program