I’m currently pursuing a Master’s in AI Engineering at the University of San Diego, expected to graduate in April 2026. With a strong foundation in SEO, data analysis, and project management, I've transitioned into AI programming and data analysis, focusing on applying AI solutions to healthcare and other industries. My career journey reflects my passion for using data to drive impactful insights and innovations, from improving search engine rankings to analyzing healthcare data.

• Master of Science in AI Engineering
  University of San Diego (Expected April 2026)

• Bachelor of Computer Science
  Applied Science Private University, Graduated June 2003

Drug Review Sentiment Analysis
The focus of this project is to perform sentiment analysis on patient reviews for various drugs. The goal is to predict the sentiment (positive or negative) of reviews based on textual data and related features such as drug name, condition treated, and patient ratings. The sentiment prediction will help pharmaceutical companies and healthcare professionals gain insights into patient satisfaction, identify potential issues with drugs, and ultimately improve patient outcomes.

• Objective: Enhance healthcare decision-making by analyzing drug reviews.
• Method: NLP and machine learning techniques to process and classify sentiment.
• Repository: Drug-Review-Analysis _link

Diabetes-Stats-Model
The purpose of this project is to analyze health indicators to predict the likelihood of an individual having diabetes. Diabetes is a chronic condition that affects millions of people worldwide, and early prediction can help individuals take preventive measures to manage their health.

• Objective: Perform exploratory data analysis (EDA) to identify patterns and trends & conduct hypothesis testing to validate the significance of key health features.
• Method: Python & machine learning models to predict diabetes status..
• Repository: Diabetes-Stats-Model _link

SEO Analytics & Conversion Optimization
As a Senior SEO Manager, I led initiatives that improved organic traffic by 40-45% and enhanced user experience through technical SEO. I also spearheaded the data cleanup in Google Analytics and Google Tag Manager, ensuring accurate tracking and reporting.

• Skills Used: Python, SQL, Google Analytics, Data Analysis
• Outcome: Increased search rankings, optimized page load speed, and restored data accuracy.

Social Media Sentiment Analysis
Developed a model to analyze customer sentiment from social media data, achieving high accuracy. This project helped me refine my skills in natural language processing and model optimization.

• Tech Stack: Python, TensorFlow, NLP, Scikit-Learn
• Outcome: Provided insights into customer sentiment trends.
• Repository: Social-Media-Sentiment-Analysis (Add repository link)

Programming Languages

AI/ML Frameworks

Other Tools

• Healthcare Data Science: Using AI to improve patient outcomes and insights.
• Natural Language Processing (NLP): Specialized in sentiment analysis and text classification.
• Machine Learning & AI: Developing predictive models for data-driven decision-making.
• Technical SEO & Analytics: Leveraging data to optimize user experience and organic reach.

I am passionate about exploring intersections between data science, AI, and healthcare. My goal is to create impactful AI solutions that enhance decision-making and drive innovations in healthcare technology. Additionally, I am interested in using data insights to address real-world challenges across various sectors, where my analytical and technical expertise can contribute to measurable improvements.

• Email: [email protected]
• LinkedIn: Iman Hamdan