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Peter Tannous

@petertannous

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Data scientist and analyst skilled in Python, SQL, and machine learning for data-driven decision making.

Lebanon

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What I'm looking for

I seek roles where I can apply machine learning and BI to solve real problems, work collaboratively, and grow in predictive analytics and deployment.

I am a data scientist and analyst with hands-on experience in Python, SQL, and machine learning, focused on turning data into actionable insights. I have built and deployed end-to-end solutions such as a credit card fraud detection web app using Flask and Scikit-learn.

My work spans data preprocessing, model development (classification, regression, clustering), performance optimization, and visualization with tools like Power BI and Tableau. I have applied these skills in academic and personal projects, including a sales dashboard that highlights KPIs and customer retention patterns.

I bring strong problem-solving, data storytelling, and teamwork abilities, and I am passionate about predictive analytics, business intelligence, and applying AI to solve real-world problems.

Experience

Work history, roles, and key accomplishments

Data Scientist

University Project

Designed and deployed a credit card fraud detection web app with an end-to-end ML pipeline, improving preprocessing efficiency via caching and enabling account management, transaction uploads, analysis, and admin monitoring.

Python Flask scikit learn data preprocessing Caching Machine Learning Fraud Detection Reporting

Data Analyst

Personal Project

Analyzed sales data using Python and SQL and built a Power BI dashboard to visualize KPIs including revenue growth, product performance, and customer retention.

Python Pandas SQL Power BI Data Visualization Matplotlib SeaBorn KPIs

Education

Degrees, certifications, and relevant coursework

Arab Open University

Bachelor in Data Science, Data Science

2021 -

Activities and societies: Academic project: developed and deployed a credit card fraud detection web application using Python, Flask, and Scikit-learn.

Pursuing a Bachelor in Data Science with coursework in machine learning, statistics, data structures, and data visualization; completed a fraud detection web app project with an end-to-end ML pipeline.