Mustafa Hussain Kaswani

Driving end-to-end data science initiatives to enhance member experience and optimize decision-making across the organization. Key contributions: • Built predictive models for member churn, engagement scoring, and service adoption using classification and regression techniques • Developed segmentation frameworks using clustering and behavioral analysis to tailor B2B service delivery • Led data pipeline optimization and feature engineering for member datasets across CRM, survey, and DED sources • Conducted A/B tests and hypothesis-driven experiments to evaluate CX and policy interventions • Cleaned and standardized phone/email data using regex, string matching, and validation logic to improve targeting accuracy • Built Power BI dashboards and automated Python reports for leadership visibility and performance tracking • Collaborated with cross-functional teams to integrate insights into digital platform development and member outreach strategies

Leading AI system development for a stealth-stage AI startup. Driving end-to-end architecture across: • LLM inference and performance optimization • Retrieval-augmented generation (RAG) pipelines • Model fine-tuning for safety and personalization Building scalable, production-grade ML infrastructure with a focus on NLP, prompt engineering, and user-centric AI applications.

Delivered data-driven insights to optimize user acquisition, retention, and operational performance across MENA markets. Key projects and contributions: • Built predictive models to analyze order frequency, user churn, and promotional effectiveness • Led experimentation (A/B testing) and uplift analysis for product features, app UX changes, and marketing campaigns • Designed dashboards and KPIs for real-time monitoring of operational and customer metrics across countries • Automated weekly performance reports using Python and SQL, reducing manual workload by 60% • Conducted cohort and funnel analysis to inform CRM, loyalty, and reactivation strategies • Partnered with product, growth, and ops teams to embed insights into feature development and campaign planning

Applied performance science and data analytics to improve ROI on large-scale digital campaigns across sections such as aviation, retail, and telecom. Key contributions: • Built attribution models to evaluate media channel impact across the user journey • Conducted time-series and regression analysis to optimize budget allocation and campaign timing • Translated cross-platform data (search, social, display) into performance insights for brand and conversion objectives • Developed reporting frameworks and dashboards for senior stakeholders to track KPIs in real time • Collaborated with media planners and creatives to integrate data findings into strategy and execution

Skills: Questionnaire Design · Business Analytics · E-Commerce · Marketing Science · Communication · Performance Analysis · Channel Optimization · Presentations · Machine Tools

Actively involved in the development of the firm's proprietary consumer research tool, which collected & analyzed data on 300,000+ respondents in the MENA region, in addition to other ad hoc tasks pertaining to data analysis and consumer research.