Hi, I'm

Who I Am

I’m an Analytics Engineer with a Master’s in Data Science from Northeastern University (GPA 3.97). I specialize in transforming raw, messy data into clean, reliable, analysis-ready assets that drive real business decisions. I haved worked across the full data lifecycle in Fortune 500 and tech environments. I am currently focused on building production-grade Generative AI applications on top of strong analytics foundations.

What I Work On

• Analytics & Insights: Delivered actionable insights and process improvements at Formlabs (3D tech) and Waste Management (Fortune 500).
• Data Engineering: Built scalable ETL pipelines and high-quality data models at Cognizant for reliable downstream analytics.
• End-to-End Ownership: Apply engineering best practices (testing, documentation, version control) across academic and personal projects.

Value I Bring

As an Analytics Engineer, I deliver trustworthy, high-impact data solutions that power smarter business decisions through strong analytical intuition. I focus on building reliable data pipelines and analytical models by prioritizing quality, scalability, and real-world outcomes.

• Holistic Thinking: Bridge raw data chaos into clear business value by anticipating stakeholder needs and simplifying complex problems.
• Rigorous Execution: Own end-to-end solutions with testing, documentation, and optimization (e.g., 30–40% faster pipelines, enabling $75K+ in savings and revenue).
• Collaborative Integrity: Partner across engineering, analytics, and business teams, including presenting insights to C-suite stakeholders.
• Forward-Thinking Adaptability: Integrate Generative AI and LLMs to evolve traditional analytics into intelligent, automated systems.