Uzair Ahmad

Data Science

End-to-end ML pipelines, predictive modeling, and statistical analysis — from pharma to e-commerce.

AI / LLM Solutions

Custom AI agents, LLM integrations, NLP pipelines, and intelligent automation that ships to production.

Analytics & BI

Executive dashboards, KPI frameworks, A/B testing, and data infrastructure built for scale.

Describe your challenge and I'll tell you if we're a fit.

A macOS menu bar app that expands typed shortcuts into full text snippets system-wide. Supports configurable trigger prefixes, multi-variant snippets, fuzzy expansion search, and a floating inline suggestion popup. Fully notarized for distribution outside the App Store.

Integrated Large Language Models (ChatGPT) into clinical workflows to extract medical entities and summarize patient notes for doctors based on de-identified data. Enhanced decision support and reduced manual documentation time.

Built forecasting models using time-series models and domain-specific business rules. Delivered accurate sales projections for multiple products and geographies to support strategic planning.

Applied marketing mix modeling to optimize spend across digital and field marketing channels. Informed resource allocation and field force sizing strategies, improving ROI on marketing investments.

Analyzed multi-treatment A/B test results for Shopify stores to uncover pricing and discounting strategies that maximized lift, conversion, and profit. Applied causal inference techniques for reliable impact attribution.

Led development of an end-to-end LLM-powered architecture for pharmaceutical marketing intelligence. Enabled automated campaign targeting, dynamic content generation, and AI-driven decision support across marketing functions.

Engineered machine learning solutions to optimize caller-agent pairings in real-time, improving conversion rates and customer satisfaction. Supported $500K+ monthly revenue growth for telecom and entertainment clients.

Developed predictive models to address customer churn in the telecommunications industry. Implemented a preventive strategy using coupon distribution optimization for at-risk customers. The solution included parameter optimization with Optuna, model tracking with MLflow, and deployment using Databricks.