Hi,

I create stuff sometimes.

I'm an aspiring Data & ML Scientist, currently studying IS at the Faculty of Computers & AI, USC. Passionate about using data to solve everyday challenges and applying AI to create practical, impactful solutions.

Say hi!

Professional Journey

Experience

My professional experience and roles in data science and analytics

AI/ML Engineer @ Konecta

Internship

Jul 2025 - Present

Key Responsibilities & Achievements

Conducted data collection and preprocessing using Python libraries and web scraping tools to prepare structured datasets for analysis.

Developed and optimized machine learning models for classification, clustering, and image recognition tasks, including model tuning and evaluation.

Implemented conversational AI solutions by building RAG-based chatbots with document indexing, embeddings, and multi-turn query handling.

Portfolio

Featured Projects

A showcase of my recent work in data science, machine learning, and web development

Semantic Book Recommender

Developed a web-based Semantic Book Recommender utilizing LLMs, encompassing data cleaning, vector database creation for semantic search, zero-shot text classification (fiction/non-fiction), sentiment analysis for tone-based sorting, and a Gradio interface for user interaction.

Python

langchain-chroma

langchain

Live Demo

Code Repo

Semantic Book Recommender

Developed a web-based application utilizing LLMs, encompassing data cleaning, vector database creation for semantic search, zero-shot text classification (fiction/non-fiction), sentiment analysis for tone-based sorting, and a Gradio interface for user interaction.

Python•langchain-chroma•langchain•Pandas

Campaign Conversion Predictor

Built a machine learning model to predict customer conversion in digital marketing campaigns using demographic and engagement data. Deployed a Gradio web app for real-time predictions with a Random Forest model.

Python•Scikit-learn•Gradio•EDA•Machine Learning

HR Analytics in Tableau

Analyzed HR data of 1,470 employees in Tableau to visualize workforce trends and identify key attrition drivers, including a 16% attrition rate and demographic insights.

Tableau•Data Visualization•HR Analytics

Portfolio-Website

This modern, responsive portfolio website showcases Ahmed Ayman's skills and projects as a Data Scientist and ML Engineer, featuring dark/light mode, smooth animations, and an interactive user experience built with HTML, CSS, and JavaScript.

Javascript•HTML•CSS

Movie Library

A React-based movie library application that enables users to search for movies, view trending titles, and explore detailed information.

React•Vite•TailwindCSS•Appwrite•TMDb API

Movie Review Sentiment Analysis

A movie sentiment analysis application using three models to predict review sentiment through an interactive Gradio web interface.

scikit-learn•transformers•tensorflow•gradio

Technical Expertise

Skills

Technologies and tools I use to bring ideas to life

Python

NumPy

Pandas

SQL

Scikit-learn

Tableau

Power BI

React

Next.js

HTML

CSS

JavaScript

TypeScript

Get In Touch

Contact

I'm eager to join a data-driven team where I can apply my passion for AI, machine learning, and problem-solving to create meaningful impact.
Got a project in mind or looking to collaborate? Let's connect!

ahmedalhofy42@gmail.com