Sushant Mittal

In the initial phase, I interviewed 15+ cross-functional stakeholders to audit existing workflows. I also identified root causes of metric ambiguity, siloed data practices, and frequent ad hoc reporting, which led to bottlenecks in defining clear analytical requirements.

In the second phase, I collaborated with business leaders to align on a single source of truth for key KPIs. I designed and optimized underlying data models to resolve ambiguity and establish foundational trust in the data.

I then architected custom, intuitive Looker Explores tailored to stakeholder needs. I automated the most time-consuming manual reports into dynamic dashboards, creating a unified, governed platform for cross-team collaboration.

In the next stage, I developed a tailored curriculum and led hands-on training sessions, empowering end users to navigate standardized models and confidently self-serve their own data queries.

As a result, we achieved a 75% reduction in ad-hoc reporting requests. We successfully shifted a siloed data culture to a collaborative one, freeing up analytics bandwidth for high-impact, strategic initiatives.

I audited forecasting gaps causing financial unreliability and designed a trimodal strategy combining probabilistic modeling with deterministic pipeline velocity and enterprise sales data.

I then standardized real-time opportunity data from internal sales platforms, engineering custom velocity metrics to capture conversion rates, sales cycle lengths, and stage-to-stage deal momentum. I also executed Monte Carlo simulations to model potential revenue outcomes based on historical volatility and synthesized probabilistic simulations with pipeline data streams into a single predictive engine.

I back-tested the three-point model against historical actuals to refine the algorithm, applying rigorous statistical thresholds to ensure model stability and reliability under varying market conditions. Finally, I deployed the model to executives, establishing a new organizational standard for predictability. I delivered revenue projections with 80% accuracy at a 90% confidence interval to drive strategic planning.