Fozan Ahmed

Hi, I'm Fozan Ahmed

Data Scientist & Full Stack Developer

Passionate about creating data-driven solutions and building scalable web applications. Specialized in Data Analysing, Philosophy, Psychology, and modern web technologies.

About Me

Hello! I'm Fozan Ahmed, a passionate Data Scientist & Full-Stack Developer with a unique blend of technical expertise and creative problem-solving abilities. My journey in technology is driven by a curiosity to explore the intersection of data science, artificial intelligence, and web development.

4+
Years Experience
50+
Projects Completed
30+
Happy Clients
15+
Technologies

Skills & Expertise

HTML5
CSS3
Tailwind CSS
JavaScript
React
Next.js
Python
MySQL
PostgreSQL
MongoDB
TensorFlow
PyTorch
Jupyter
Apache Spark
Excel
Tableau
Data Analysis
Power BI
Machine Learning
AI
UI/UX Design
Photoshop
Illustrator
FL Studio
Critical Thinking
Creative Writing

Services I Provide

I offer comprehensive solutions in web development and data science, combining technical expertise with creative problem-solving to deliver exceptional results.

Web Development

Web Development

I create modern, responsive, and high-performance websites and web applications tailored to your specific needs. Using cutting-edge technologies like React, Next.js, and Node.js, I deliver solutions that not only look great but also provide exceptional user experiences across all devices.

What I offer:

  • Custom website & web application development
  • Responsive design for all devices
  • Performance optimization & SEO
  • Content management systems
  • E-commerce solutions
Data Science & Analytics

Data Science & Analytics

I help businesses extract meaningful insights from their data. From data analysis and visualization to machine learning models, I provide comprehensive data solutions that drive informed decision-making and create competitive advantages for your organization.

What I offer:

  • Data analysis & visualization
  • Machine learning models
  • Predictive analytics
  • Natural language processing
  • Business intelligence dashboards

My Projects

Here are some of my notable projects that showcase my skills and experience.

Personality Distribution Analysis

Personality Distribution Analysis

This project analyses the distribution of personality types among employees in AequorTech CTRL using Python. It utilizes a dataset of 350 employees, each assigned a random role and personality type. The primary goal is to provide an understanding of the overall distribution of personality types in the company and offer functions for retrieving personality information based on employee names or IDs.

Technologies

PythonPandasMatplotlibSeabornRandom
Italian Cafe & Delivery Website

Italian Cafe & Delivery Website

Lumen Sapor Cafe" is a modern cafe website built with Next.js and Sanity, offering a seamless online ordering experience. Customers can explore a variety of food, beverages, and meals, placing orders for both dine-in and delivery with ease. 🚀☕🍽️

Technologies

Next.jsTailwindTypeScriptSanity
Socail Media App Typhone

Socail Media App Typhone

Technologies

Next.jsBootstrapNodejsFirebase
Academy Website

Academy Website

Technologies

Next.jsTailwindNodejsMYSQL

Experience & Education

Full Stack Developer / CEO Founder

AequorTech-CTRL

2021 - Present

  • Developed and maintained web applications using React, Next.js, and Node.js
  • Implemented responsive designs and improved website performance
  • Collaborated with cross-functional teams to deliver high-quality solutions

Teacher

Home Tutoring

2016 - Present

  • Teaching Computer Science related Subjects HTML, CSS, JS, REACT, NEXTJS, PYTHON, AI ML, DATA SCIENCE
  • Teaching Language Courses English & Arabic
  • School, College & University grade Tutoring as well

Undergraduate Bachelors in Computer Science

Dawood University of Engineering & Technology, Karachi

2022 - 2026

  • Specializing in Software Engineering
  • Completed various projects in web development and machine learning
  • Graduation in Progress

Get In Touch

Connect With Me