Skip to content
View junaidiqbalturk's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report junaidiqbalturk

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
junaidiqbalturk/README.md

Hi there, I'm Junaid Iqbal πŸ‘‹

Header Banner

About Me

I'm a passionate Data Scientist, Generative AI Enthusiast, Python Developer, Backend Developer (Laravel), and Flutter Mobile App Developer. With over 9 years of experience, I love creating innovative solutions and contributing to the tech community.

Profile Views

  • πŸ”­ I’m currently working on Generative AI projects

  • 🌱 I’m learning Next.js and advanced AI techniques

  • πŸ‘― I’m looking to collaborate on AI and Data Science projects

  • πŸ’¬ Ask me about:

    • Python Python programming and libraries (Pandas, NumPy, Scikit-learn)
    • Data Science Data analysis, visualization, and machine learning
    • Generative AI Generative AI and NLP models
    • Laravel Backend development with Laravel
    • Flutter Mobile app development with Flutter
    • Cloud Deploying applications on AWS/GCP
    • Version Control Version control with Git and GitHub
    • CI/CD Continuous Integration and Deployment
  • πŸ“« How to reach me: LinkedIn | Email

  • πŸ˜„ Pronouns: He/Him

  • ⚑ Fun fact: I’m a professional COTHM Chef and love experimenting with new recipes.

πŸš€ Skills and Technologies

Python Laravel Flutter Data Science Generative AI

πŸ§‘β€πŸ’» Projects

Description: This project involves analyzing sales data to track key metrics such as total sales, monthly trends, and product performance. Additionally, it includes customer segmentation using k-means and hierarchical clustering to identify different customer segments based on their purchasing behavior. The data analysis and visualizations are displayed through a professional, attractive, and responsive Flask web application.

  • Tech Stack: Python, Flask, Sci-kit Learn, Seaborn, Matplotlib, Pandas
  • Features:
    • Sales Data Analysis
    • Monthly Sales Trends Visualization
    • Top Products by Sales Visualization
    • Customer Segmentation using K-means Clustering
    • Customer Segmentation using Hierarchical Clustering
    • Professional and Responsive Web Dashboard

Description: A Flutter app to help users build and track their habits effectively.

  • Tech Stack: Flutter, Dart, Firebase
  • Features:
    • Custom habit creation
    • Progress tracking

Description: A robust backend for an e-commerce platform built with Laravel.

  • Tech Stack: Laravel, MySQL, Redis
  • Features:
    • Secure user authentication
    • Scalable product management

πŸ“ˆ Experience

  • Code Logic Solution: Senior Software Consultant (Jan 2024 - Present)
    • Lead the development of data-driven applications.
    • Implemented scalable backend solutions using Laravel.
    • Implemented Data Driven Data Science Solution including but not limited to Recommendation Engines, Data Analysis and Dashboarding.

🌐 Let's Connect

LinkedIn Twitter Email


Footer Banner

Pinned Loading

  1. customdashboard customdashboard Public

    The Customized Order System is a Laravel web application that allows customers to register, place custom orders, track their order history, and view their invoices. It provides a seamless experienc…

    Blade