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Better decisions. Smarter experiments. Real impact.
Most organizations rely on correlation-based insights to drive decisions. But correlation is not causation—and that’s where mistakes happen.
Causal AI helps leaders and teams make smarter, evidence-based decisions by identifying what truly drives outcomes. Whether you’re just starting with causal inference or looking to scale its impact, I help you integrate it effectively—just like Meta, Netflix, and Amazon.
Start. Improve. Expand.
START: Build from scratch. Launch your first causal AI pilot and shift both technical teams & executives toward a causal mindset.
IMPROVE: Go beyond traditional A/B testing. Detect how different subgroups react to changes, unlocking personalized recommendations with Causal AI.
EXPAND: Move beyond randomized experiments. Measure the impact and optimize strategies even when randomization isn’t feasible.
How I Help (For Both Executives & Technical Teams)
✅ For Executives & Decision-Makers
Non-Technical, High-Impact Education: Boost data literacy at the leadership level.
Data-Driven Decision Making: Learn how to interpret analysis results and develop strategic questions that lead to better outcomes.
Talent Acquisition Guidance: Understand the profiles and skill sets needed to build world-class AI and analytics teams.
✅ For Data Scientists, Analysts, & Technical Teams
Cutting-Edge Tools & Techniques: Equip your data scientists and analysts with advanced Causal AI, ML, and GenAI methodologies.
Hands-On Workshops: Practical, project-based sessions so teams can directly apply new skills to real business data.
Continuous Skill Development: Ongoing support to ensure your teams stay current with evolving tools and frameworks.
How We Work Together
How We Work Together
Discovery & Assessment
Evaluate your current data ecosystem and define business objectives.
Identify quick wins and high-impact projects.
Tailored Strategy & Training
Create a custom plan for both executive and technical upskilling.
Deliver interactive workshops, case studies, and best-practice guidelines.
Pilot & Implementation
Run small-scale pilots to validate impact quickly.
Network of experts to apply the methods if needed.
Ongoing Advisory & Expert Support
Continue optimizing and updating models.
Flexible Engagement, from short-term consulting to long-term partnerships
Practical Use Cases (Across Multiple Industries)
Practical Use Cases (Across Multiple Industries)
💡 Optimization & Advanced A/B Testing: Test multiple strategies (e.g., website features, pricing tiers, marketing campaigns) to identify the most effective path with causal insights. Traditional A/B testing might tell you which option performs better overall; Causal AI explains why it succeeds and for whom—crucial for personalizing offers and maximizing ROI.
💡 AI products impact: Measure business impact of AI tools (beyond accuracy).
💡 Business Strategy & Operations: Test multiple strategies & optimize decision-making
💡 Internal Process Improvements: Assess the real impact of internal initiatives—like training programs or policy changes—on productivity, job satisfaction, and overall employee performance.
Causal AI applies anywhere decisions need to be smarter, clearer, and backed by real evidence.
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