Mohd Zahid Faiz
Data Scientist - Applied ML
I’m an experienced Data Science professional who works at the intersection of data science, machine learning engineering, GenAI, and LLM-powered systems, building scalable engineering pipelines, data insights, and product solutions to solve complex business problems and deliver measurable impact.
My experience spans leading complex problem statements end-to-end and translating them into practical, data-driven solutions that support decision-making at scale. I’ve collaborated closely with cross-functional stakeholders to deliver end-to-end data science solutions across consulting and product-driven environments, contributing to revenue growth and improved operational efficiency.
I have hands-on experience designing and deploying Generative AI applications, LLM integrations, and agent-based workflows, enabling intelligent automation and improved user experiences. I enjoy working on problems where data science and AI meaningfully shape outcomes, and I’m always open to connecting with professionals who value thoughtful problem-solving, AI innovation, and real-world impact.
Projects
Digital Twin using Clinical GAN
Generative Digital Twin framework for synthetic patient data
Content Authoring using Agentic Framework and RAG
Automated training content generation using LLM agents
Demand Forecasting for Revenue Management
Scalable ML system for large-scale demand forecasting
Cold-Start Problem for Newly Launched Drugs
PU-learning framework for early-stage drug adoption
Graph Network-based KOL Identification
Graph-based system for identifying key opinion leaders
Churn Prediction and Analysis Platform
End-to-end ML + data engineering platform for churn analysis
YOLOv3 Object Detection with Image Classification
Computer vision pipeline with data scraping and classification
Technical Skills
Achievements
Certifications
Generative AI with Large Language Models by Deeplearning.AI