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Lyes Taibi Kebouchi

Lyes Taibi Kebouchi

AI data annotation, collection & content generation expert for ML & NLP Exp

Spain flagMálaga, Spain
$25.00/hrIntermediateTelusCVATOther

Key Skills

Software

TelusTelus
CVATCVAT
Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Audio Recording
Data Collection

Freelancer Overview

I specialize in AI data annotation, training, and optimization, with hands-on experience in object/image detection, recommendation systems, and client segmentation models. My expertise includes image and video annotation (bounding boxes, segmentation, keypoints), text-based labeling (NER, sentiment analysis), and audio transcription for AI model training. Beyond annotation, I have built AI-driven clothing recommendation systems that can be adapted for various industries, improving user experience through personalized suggestions. Additionally, my work in client segmentation models leverages machine learning to analyze user behavior and enhance targeted marketing. With experience in data collection, sourcing, and AI content generation, I bring a comprehensive skill set to support AI model development.

IntermediateFrenchEnglishSpanish

Labeling Experience

Formula 1 Environmental Analytics Dashboard

OtherComputer Code ProgrammingData Collection
Created an interactive dashboard to analyze Formula 1’s environmental impact, including: Carbon emissions tracking per race event. Energy consumption analysis across venues. Weather impact assessment on sustainability efforts.This tool supported F1 teams, sponsors, and environmental organizations in making data-driven decisions to reduce carbon footprints and optimize sustainability practices.

Created an interactive dashboard to analyze Formula 1’s environmental impact, including: Carbon emissions tracking per race event. Energy consumption analysis across venues. Weather impact assessment on sustainability efforts.This tool supported F1 teams, sponsors, and environmental organizations in making data-driven decisions to reduce carbon footprints and optimize sustainability practices.

2024

Predictive Maintenance Model for Rotational Machines

OtherComputer Code ProgrammingClassificationAction Recognition
Utilized supervised learning to classify failure risk. Detected anomalies in machine behavior before breakdowns occurred. Optimized maintenance scheduling to reduce downtime and costs.This system enabled businesses to shift from reactive to predictive maintenance, prolonging equipment lifespan and enhancing operational efficiency.

Utilized supervised learning to classify failure risk. Detected anomalies in machine behavior before breakdowns occurred. Optimized maintenance scheduling to reduce downtime and costs.This system enabled businesses to shift from reactive to predictive maintenance, prolonging equipment lifespan and enhancing operational efficiency.

2024

E-shopping/Clothing Recommender System

OtherComputer Code ProgrammingClassificationData Collection
Designed a personalized recommender system for an e-commerce platform to enhance user experience and drive sales. The system leveraged: Collaborative filtering to analyze user preferences and suggest relevant clothing items. Content-based filtering to recommend products based on item attributes. Hybrid models combining multiple recommendation techniques for improved accuracy.The recommender system demonstrated significant improvements in customer engagement and conversion rates by providing highly relevant product suggestions.

Designed a personalized recommender system for an e-commerce platform to enhance user experience and drive sales. The system leveraged: Collaborative filtering to analyze user preferences and suggest relevant clothing items. Content-based filtering to recommend products based on item attributes. Hybrid models combining multiple recommendation techniques for improved accuracy.The recommender system demonstrated significant improvements in customer engagement and conversion rates by providing highly relevant product suggestions.

2024

XGBoost & Stacking Model for House Price Prediction

OtherComputer Code ProgrammingComputer Programming CodingData Collection
Developed an advanced house price prediction model using XGBoost and stacked models. The pipeline included: Feature engineering to extract key real estate pricing factors. Stacked ensemble learning combining XGBoost, Gradient Boosting, and Neural Networks. Interpretability techniques using SHAP values to explain price drivers.The model achieved high predictive accuracy, helping real estate professionals with pricing strategy and investment decisions.

Developed an advanced house price prediction model using XGBoost and stacked models. The pipeline included: Feature engineering to extract key real estate pricing factors. Stacked ensemble learning combining XGBoost, Gradient Boosting, and Neural Networks. Interpretability techniques using SHAP values to explain price drivers.The model achieved high predictive accuracy, helping real estate professionals with pricing strategy and investment decisions.

2024 - 2024

Sentiment Analysis App (Text & Voice)

OtherAudioClassificationEmotion Recognition
Built a real-time sentiment analysis application capable of analyzing both text and voice inputs to detect user emotions and opinions. The system featured: NLP-based sentiment analysis using pre-trained language models. Audio sentiment detection through voice tone and speech patterns. Interactive visualizations displaying sentiment scores dynamically.This tool provided valuable insights for customer service improvement, product feedback, and social media monitoring.

Built a real-time sentiment analysis application capable of analyzing both text and voice inputs to detect user emotions and opinions. The system featured: NLP-based sentiment analysis using pre-trained language models. Audio sentiment detection through voice tone and speech patterns. Interactive visualizations displaying sentiment scores dynamically.This tool provided valuable insights for customer service improvement, product feedback, and social media monitoring.

2024 - 2024

Education

U

University of Málaga

Bachelor's Degree in administration and management business, Business administration Economics

Bachelor's Degree in administration and management business
2011 - 2015

Work History

F

Freelance

Data Scientist

Malaga
2023 - Present