Open to opportunities

Fares Ata

@faresata

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Data scientist focused on machine learning, predictive analytics, and data-driven business impact.

Jordan

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What I'm looking for

I seek a data/ML role where I can apply ML engineering and analytics skills, work cross-functionally, solve messy data challenges, and grow into impactful AI product ownership.

I am a highly analytical data scientist with hands-on experience building ML solutions, data pipelines, and real-time visualizations. I have delivered projects using IBM Watson, LangChain, Pinecone, Python, R, and deep learning models (U-Net, Pix2Pix), achieving measurable results such as ~86% segmentation accuracy and large-scale synthetic data generation.

I collaborate across functions to solve data availability and preprocessing challenges, design RAG-based virtual assistants, and implement automated AI solutions for operational efficiency. I continue to deepen my expertise through a Bachelor of Data Science (GPA 3.34) and a current Master’s in Business Analytics pursuit.

Experience

Work history, roles, and key accomplishments

Data & AI Intern

Startup Company

Jun 2024 - Aug 2024 (2 months)

Developed AI solutions using IBM Watson for automated data processing and conversational assistants during an 8-week internship, improving prototype automation and model integration.

IBM Watson Python Data Extraction Data Cleaning NLP Model Training Data Visualization

Education

Degrees, certifications, and relevant coursework

Princess Sumaya University for Technology

Master of Business Analytics, Business Analytics

Currently pursuing a Master's in Business Analytics at PSUT to advance skills in analytics and data-driven decision making.

University of Jordan

Bachelor of Data Science, Data Science

2021 - 2025

Grade: GPA: 3.34

Activities and societies: Participated in IEEEXTREME, algorithm/ML problem-solving events, and multiple academic projects including EmoVoice, stock dashboard, road segmentation, and the UniGuide graduation project.

Pursuing a Bachelor of Data Science with coursework and projects in machine learning, data preprocessing, and predictive analytics; expected graduation in 2025.