Mahnoor Sheikh

About Mahnoor Sheikh

I’m an applied Data Scientist and AI Engineer with a strong skill set in building end-to-end machine learning systems, from modelling and experimentation to production-grade backend deployment. Currently, I’m pursuing an MS in Data Science at Michigan State University as a Fulbright Scholar (CGPA: 4.0).I’ve led the backend architecture for an agentic AI system, designing and delivering 40+ production REST APIs, real-time AI workflows, and secure data pipelines using Flask, PostgreSQL, Docker, and Socket.IO. My work integrates multi-modal AI (LLMs, speech, OCR, summarisation, and retrieval-based QA) to support intelligent scheduling, contextual decision support, and automated insights.Prior to graduate school, I worked in industry at scale at Daraz (Alibaba Group), where I applied machine learning and analytics to demand forecasting, growth strategy, and marketplace optimisation to drive measurable improvements in GMV, CTR, and user engagement through predictive modelling, dashboards, and experimentation.My technical interests include applied machine learning, NLP-driven systems, recommender systems, trust/risk modelling, and responsible AI. I’m actively exploring full-time roles in Data Science, Applied ML, and AI Engineering.

Experience

1. Fulbright Scholar

   Fulbright Association

   Aug 2024 — Present · East Lansing, MI, US

Education

• Michigan State University

  Master of Science - MS, Data Science

• The City School

  O Level, Computer Science, Science

  2014 — 2016

• Institute of Business Administration

  Bachelor of Science - BS, Economics & Mathematics

  2018 — 2022

• Roots IVY International Schools

  A Level, Science

  2016 — 2018