A zero-to-one AI product design for performance marketers, combining automated ad creative generation and budget/bid recommendations behind a confidence-based human review system. Built end-to-end across strategy, requirements, AI system design, and technical architecture to demonstrate readiness for AI-driven marketing tech products.

Designed an agentic AI orchestration system to streamline post-disruption customer recovery for a major airline mapping recovery workflows, defining multi-agent handoffs, and specifying API and systems integration points to reduce manual handling and restore service faster after operational disruptions.

AI product specification extending the B2B Compliance Management redesign with a field copilot (template recommender, voice-to-form, guided completion), PLG churn/PQL scoring, and manager insights like targeting activation, completion, and enterprise retention.

Comprehensive Data Analysis of taxi trip logs uncovering demand patterns, customer behavior, and geographic hotspots using advanced analytics. Built forecasting models and performed time series analysis to predict demand and drive data-informed resource allocation.

Interactive and multi-level spatial analysis dashboard using US census shapefiles with drill-down capability from national to state to census tract level.

Conducted comprehensive analysis of Walmart's Black Friday sales data to identify purchasing patterns, customer behavior, and revenue optimization opportunities.

Prototyped a fintech app using Streamlit and Machine Learning Regression model that predicts load default probability from customer financial & employment attributes with decision support with rationales. Outcome: streamlined analyst decision-making, improving review speed and confidence in automated risk evaluation.

Tear down/UX audit and strategic redesign recommendations for Product Space PM Fellowship website.

In Ideation: End-to-End Banking Client Issue Remediation Data Platform with lifecycle of identifying, analyzing, and resolving customer-impacting issues for a retail bank, featuring SQL analysis, data visualization, and regulatory-ready documentation.

Prototyping a Flask-based web app using LLM with Retrieval-Augmented Generation to analyze DORA metrics via natural language prompts. Phase 2 spec extends this into an agentic DevOps copilot with tool orchestration and voice interaction.

Developed performance management system for NSAR project team of Strathclyde using metrics causal maps and logic models, enabling Bayesian-network-driven performance tracking and data-informed decisions.

Developed a strategic advisory proposal to accelerate District Heating Networks, aligning with Net Zero goals.

Delivered a launch strategy for a fictitious digital retail bank leveraging BaaS (Banking-as-a-Service), focusing on vendor evaluation, regulatory alignment, and digital-first product design.