Aspiring Business Analyst at the intersection of strategy and technology. I ask the right questions, find the patterns, and translate them into action — with one eye always on the bigger picture.
I'm a Management Information Systems Honors student at Northeastern University with hands-on experience in employer development, data analysis, process optimization, and business strategy. I care about making systems work better and finding the strategic angle that moves the needle.
My long-term goal is entrepreneurship. Every role I take is intentional — I want a complete picture of how businesses operate, break, and scale before I build one of my own.
Currently looking for full-time Business Analyst roles in NYC at small-to-mid size companies where I can have real impact from day one.
Analyzed three real-world datasets to answer a business question: can we predict which shoppers buy impulsively? Engineered custom target variables, compared four classification models, and translated findings into actionable marketing strategy.
Designed and built a full relational database for a restaurant review platform — from ER diagrams and 3NF normalization to DDL/DML statements and multi-table business queries.
Led market entry analysis for a tech firm's international expansion. Applied PESTLE, SWOT, and Hofstede frameworks and recommended a transnational strategy with a $50K marketing budget plan.
Served as President of Overall Leadership in a competitive business simulation. Directed cross-functional decisions achieving a 925% profit increase across product lines in a single quarter.
Things I'm actively building — in progress, in design, in my head at 2am.
My mom — like a lot of older adults — struggles to navigate her phone without help every single time. I wanted to fix that permanently.
A conversational AI app powered by Claude's LLM. Users wake a character and ask plain-language questions — and get spoken, step-by-step answers with subtitles.
Ask "where do I confirm a Zelle payment?" — the app walks you through it conversationally. Next: screen sharing with live visual overlays guiding you in real time.
Conversational AI — ask anything, plain language
Bilingual support — English & Spanish
Subtitles on every response
Screen share + real-time overlays (coming soon)
Coordinators had no efficient way to share new job opportunities with students — the process was fragmented and buried in Teams channels nobody consistently checked.
Full automation required lengthy corporate approval — so I built a practical fix: a Google Sheets-integrated web interface deployable with zero red tape.
Coordinators fill a simple form. Students see the opportunity live on a clean jobs board instantly. Prototype demoed to the team February 2026.
Google Sheets as lightweight database
One-form submission for coordinators
Live public-facing student jobs board
Claude API integration (in design)
Employer feedback at DMSB lived in silos — no way to spot patterns, flag recurring complaints, or surface what's working across the team.
Design a centralized database collecting structured employer data, feeding into live dashboards that surface trends without anyone having to dig for them.
Give coordinators smarter tools to manage and grow employer relationships — less guesswork, more strategy, better outcomes.
Centralized employer feedback database
Trend dashboards — complaints & wins
Strategic re-engagement signals
Team-facing reporting layer
I'm actively looking for Business Analyst roles in NYC at small-to-mid size companies. If you're building something interesting and need someone who bridges business and tech — let's connect.