AI Computer Vision
SafeCityAI Traffic Violation Detection
AI detection workflow for helmet, no-helmet, and license plate violation use cases with full-stack monitoring concepts.
Data Scientist | AI Engineer | Full Stack Developer
Building AI data systems with product-grade execution.
I am Mohammed Zaid Nayaz, a BCA graduate with hands-on experience in AI data operations, data science, ETL workflows, full-stack engineering, and large-scale data collection across real-world teams and projects.
Measured Impact
Operational scale with strong technical foundation.
- 30,000+
- Hours of real-world AI data coordinated for BUILD.AI operations.
- 100+
- Team members guided across collection workflows and execution quality.
- 7.2
- BCA CGPA with consistent project work in data science and engineering.
Python
Pandas
Machine Learning
ETL
AI Data Operations
React
Node.js
PostgreSQL
GitHub
Team Leadership
Selected Projects
Work that connects data, AI, and usable interfaces.
Data Science
Retail Demand Forecasting Analytics
Python ETL, PostgreSQL schema planning, sales summaries, and forecasting foundations for retail demand and price elasticity analysis.
Analytics UI
Customer Churn Prediction Dashboard
Dashboard flow for churn risk, customer segmentation, prediction review, and stakeholder-friendly model interpretation.
Full Stack
ZASA Fashion E-Commerce Website
Responsive shopping interface focused on product-first browsing, clean presentation, and conversion-friendly layout.
Experience
Real execution across AI engineering and data operations.
Data Science / AI Engineer Intern
Applic Coders Software Solutions
Worked on Python analytics, ETL foundations, feature engineering, model-ready dataset preparation, reporting, and project documentation.
AI Data Operations Coordinator
BUILD.AI
Planned and coordinated real-world data collection pipelines for a US-based company operating in Bengaluru, overseeing 30,000+ hours of data and 100+ team members.
How I Work
From raw data to useful decisions.
Understand the system
I map the data source, user goal, quality risks, and reporting needs before writing the first transformation.
Build clean pipelines
I use Python, SQL, and structured documentation to keep datasets clean, repeatable, and easy for teams to review.
Turn output into product
I connect analysis with dashboards, APIs, and interface planning so the result is useful outside the notebook.
Capabilities
Technical stack and operating strengths.
Data Science
Python, Pandas, NumPy, ML fundamentals, feature engineering, reporting.
Data Operations
AI data pipelines, quality coordination, collection workflows, team execution.
Full Stack
React.js, Node.js, Express.js, REST APIs, MongoDB, MySQL, PostgreSQL.
Certifications
Futures Prime Data Science and Machine Learning, Persevex Data Science in AI, AI with Python.
Education & Certifications
Academic path and verified learning.
Education
Bachelor of Computer Applications
AMC Engineering College, 2023 - 2026. Overall CGPA: 7.2.
Education
Pre-University Degree
Dayanand Sagar University, 2022 - 2024.
Certification
Data Science and Machine Learning
Futures Prime Skills, NASSCOM-aligned, Silver category, issued March 2026.
Certification
Data Science in AI
Persevex certification with AI, analytics, and data science learning focus.
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