Talal
DATA SCIENTIST • DATA ENGINEER
About
Graduated in Data Science from Umm Al-Qura University. Passionate about AI, Data Engineering, NLP, and building production-ready solutions.
I'm Talal, a Data Scientist and Data Engineer building machine learning systems, scalable data pipelines, and modern web applications that solve real-world problems.
Building and deploying machine learning models for real-world prediction, classification, and decision support.
Designing scalable data pipelines, transforming raw datasets, and preparing production-ready data workflows.
Developing language applications using modern LLMs, prompt engineering, retrieval, and intelligent automation.
Building responsive full-stack web applications with modern UI, APIs, and AI integration.
Creating dashboards and visual reports that transform complex datasets into actionable insights.
Delivering end-to-end AI applications from data collection and modeling to deployment and user experience.
VitaVision is an intelligent web application built with Streamlit that helps users analyze vitamin and mineral laboratory results using clinical reference ranges, a Machine Learning model, and AI-generated explanations. VitaVision supports manual input, CSV upload, and Smart AI Upload, where users can upload lab files and allow AI to extract supported nutrient values before analysis.
This project automatically assesses Arabic speaking skills by combining Speech-to-Text technology with Large Language Models. Users submit an Arabic speech recording, which is transcribed and evaluated based on pronunciation, fluency, grammar, vocabulary, and overall speaking performance. The system compares multiple LLMs to generate structured assessments, CEFR levels, and personalized feedback.
This project analyzes historical weather data collected from multiple cities and builds machine learning models capable of predicting temperature using weather-related attributes. The project follows the complete Big Data Mining workflow, including data preprocessing, visualization, feature correlation analysis, model training, and performance evaluation.
Soon :)
Building ML models, dashboards, and data-driven solutions.
Working on applied AI, NLP tools, and intelligent automation.
Designing pipelines, cleaning messy data, and preparing data for production.
Have a dataset, an AI idea, or a real-world problem that needs a smart solution? I'm open to data science, AI, and data engineering opportunities — let's connect.