Data-driven analyst turning raw numbers into business narratives. From marketing funnels to compliance frameworks, I bridge the gap between data and decisions.
I'm a Marketing Analytics professional based in Chicago with an MS from Illinois Institute of Technology and 4+ years of cross-industry experience spanning B2B SaaS, digital advertising, and real estate.
My career has taken me from market research at Leena AI in India to sales operations at Affle, and now data compliance analytics at MAC Properties in Chicago. At every step, I've been the person who finds the story hiding in the spreadsheet.
Beyond my corporate work, I co-founded Ana Luxe — a luxury waterproof jewelry brand — where I manage everything from website analytics to digital marketing strategy.
Attendee at the world's largest gathering of women and non-binary technologists
Represented Illinois Institute of Technology in the national venture capital competition, evaluating startups and presenting investment recommendations
Analyzed user behavior within Google Analytics 4 to identify major website drop-off points for macapartments.com. Built a visual funnel revealing a 78.1% drop between search and property detail pages and 98.8% CTA abandonment rate.
Analyzed healthcare provider data using Python and R to identify underserved population segments. Built interactive dashboards to visualize geographic gaps in healthcare access and communicate findings to non-technical stakeholders.
Led a comprehensive marketing strategy simulation including market research, customer segmentation, positioning strategy, and full marketing plan development using data-driven consumer insights.
Co-founded a luxury waterproof jewelry brand. Built and managed the website (WordPress), implemented Google Analytics & Meta Pixel tracking, and managed end-to-end digital operations from SEO to performance reporting.
The shift from AI-as-tool to AI-as-teammate is happening faster than most teams realize. Agentic AI systems can now plan, execute, and optimize campaigns with minimal human intervention — moving marketing from a relay race between teams to a control room overseeing intelligent workflows. But here's the catch: the organizations winning aren't the ones with the most tools. They're the ones who've restructured their teams around pod-based execution models where strategy, creative, and analytics sit together. For marketing analysts like me, this means our role is evolving from report builders to decision architects — the humans who set the guardrails AI operates within.
With GDPR, CCPA, and the decline of third-party cookies, the marketing analytics landscape has fundamentally shifted. Brands that invested in first-party and zero-party data strategies are now outperforming those still relying on borrowed audiences. In my compliance work at MAC Properties, I've seen firsthand how data governance isn't just a legal box to check — it's a strategic advantage. When your analytics are built on consented, clean data, your predictions are sharper, your personalization is more authentic, and your customer trust becomes a genuine differentiator. The analysts who understand both the data and the regulations will be the most valuable people in any marketing org.
For years, marketing teams lived and died by their weekly dashboard review. But AI-powered predictive analytics is making the static dashboard feel like checking yesterday's weather. The trend in 2026 is toward systems that don't just tell you what happened — they tell you what's about to happen and what to do about it. Hyper-personalization at scale, real-time campaign optimization, and predictive customer journey modeling are becoming standard. As someone who's built compliance dashboards and marketing funnels, I believe the future belongs to analysts who can design the right questions for AI to answer, not just the right charts to display. The skill isn't visualization anymore — it's orchestration.