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 internship experience in data science, Python analytics, SQL, ETL workflows, machine learning fundamentals, and full-stack engineering.

Measured Impact

Project depth with a strong technical foundation.

4
Portfolio projects across computer vision, analytics, dashboards, and full-stack development.
Feb 2026
Started Data Science / AI Engineer internship with Applic Coders Software Solution.
7.2
BCA CGPA with consistent project work in data science and engineering.
Python Pandas Machine Learning ETL SQL Data Cleaning Feature Engineering React Node.js PostgreSQL GitHub Team Leadership

Selected Projects

Work that connects data, AI, and usable interfaces.

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 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.

Internship Experience

Hands-on learning across data science, AI engineering, and full-stack planning.

Feb 2026 - Present

Data Science / AI Engineer Intern

Applic Coders Software Solution

Working on Python analytics, SQL and ETL foundations, feature engineering, model-ready dataset preparation, reporting, and professional project documentation for GitHub-ready delivery.

How I Work

From raw data to useful decisions.

01

Understand the system

I map the data source, user goal, quality risks, and reporting needs before writing the first transformation.

02

Build clean pipelines

I use Python, SQL, and structured documentation to keep datasets clean, repeatable, and easy for teams to review.

03

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, SQL, ETL, EDA, data cleaning, feature engineering, reporting.

Machine Learning

Supervised learning, model evaluation, forecasting, churn prediction, computer vision, YOLO.

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.

Contact

Ready to build data-driven AI products.