Eromonsele Oboh

Ex-Meta · Founder, Datalytiq

Analytics Expertise for Growing Businesses

I help SMB leaders turn scattered data into strategic growth — and mentor emerging data professionals to build careers they love.

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About

As a Data Scientist at Meta, I built experimentation frameworks, predictive models, and analytics systems that directly influenced product decisions and multi-million dollar investments. At Underknown, I drove analytics initiatives that unlocked 50M+ new subscribers and billions of views through data-driven strategies.

Over 8+ years at companies like Meta, Underknown Media, MindGeek, and WatchMojo, I've seen firsthand how the right data infrastructure and strategic insights create competitive advantages. I founded Datalytiq to bring that same analytical rigor to growing businesses—without the enterprise complexity or price tag.

With a Master's in Quality Systems Engineering (Machine Learning) and a Bachelor's in Information and Communication Technology, I combine technical depth with business pragmatism. Whether you need a unified data foundation, strategic analytics, or guidance navigating your data challenges, I'm here to help you grow with confidence.

How I Help

I work with SMB leaders to build data foundations that drive strategic growth

Strategic Data Foundations

Audit your data capabilities, define KPIs aligned to business goals, and build executive dashboards that drive strategic decisions.

Example: Helped a SaaS company align 5 teams around 3 core metrics at Meta, driving double-digit YoY growth through an analytics-led content strategy that unlocked 50M new subscribers and 3B+ views.

Unified Data Infrastructure

Build centralized data warehouses, automated pipelines, and integrations that turn scattered data into a single source of truth.

Example: Built a centralized BigQuery warehouse consolidating multi-platform analytics, democratizing insights for producers, marketers, and executives—saving 15+ hours per week in manual reporting.

Performance Analytics & Optimization

Develop predictive models, run experiments, and analyze funnels to optimize content, ads, and product features for measurable results.

Example: Built a predictive model using NLP that increased video hit rate and reduced editorial selection time. Led cross-functional strategy that drove 4x improvements in user onboarding and retention.

Career Mentorship for Data Professionals

Breaking into data science or trying to level up? I provide 1-on-1 mentorship to help emerging professionals build careers they love.

✓ Technical interview preparation (SQL, Python, product analytics, case studies)
✓ Portfolio development and showcasing business impact
✓ Career strategy and navigating the job market

Schedule a Mentorship Call