Mohammed Nabil — Business Development Executive
I work at the intersection of data, systems, and decision-making, with a focus on building data-driven solutions that improve real-world operations at scale. At Meesho, I’ve developed and deployed models and analytical frameworks powering core logistics systems—from travel-time prediction and delivery promise optimization to root-cause analysis and large-scale data pipeline design. My work has directly improved delivery reliability, reduced breach rates, and enabled faster, self-serve decision-making across teams. I’m particularly interested in applied machine learning, time-series modeling, and designing data systems that bridge the gap between experimentation and production. I enjoy breaking down ambiguous problems, identifying underlying drivers, and building scalable solutions that create measurable impact.
Stackforce AI infers this person is a Data Analyst with expertise in logistics and digital marketing.
Experience: 9 mos
Skills
- Data Analysis
- Applied Machine Learning
- Research
- Seo
Career Highlights
- Developed logistics optimization models at Meesho.
- Explored Generative AI in healthcare research.
- Enhanced website traffic through effective SEO strategies.
Work Experience
Meesho
Business Analyst - 2 (4 mos)
Business Analyst - 1 (5 mos)
Business Analyst Intern (5 mos)
Illinois Institute of Technology
Summer Research Intern (1 mo)
Heritage Times
Search Engine Optimization Intern (1 mo)
Education
Computer Science and Engineering at Birla Institute of Technology, Mesra