I am currently working as Data Scientist at Datamatics, where I collaborate with a prominent Saudi medical Insurance company BUPA

I work in the Artificial Intelligence team at BUPA. Within this capacity, I apply comprehensive knowledge of Machine Learning, Data Science, Analytics, Probability and Statistics to craft advanced statistical models aimed at enhancing chronic disease prediction I explore medical chronic disease and claims data sets for patterns that can be useful predictors. I extract these patterns and add them through feature engineering so that the AI model can make the best use of this information. Extensively performed EDA to monitor for changing trends in data. I also engage in in-depth analytics of client data, to derive valuable insights. Work on LLM’s to develop medical bot

Managed technical and execution aspects of machine learning projects from initiation to deployment, improving project delivery timelines by 30%. Collaborated on a joint project for Social Media Monitoring, enhancing data insights and engagement metrics by 15%. Led a data-driven project for real-time data analysis, achieving a 20% improvement in project results. Developed a text analytics module utilizing NLP techniques, increasing query response accuracy by 25%. Executed a computer vision-based project for real-time recognition using deep learning techniques, boosting security efficiency

Executed data analytics on various social media platforms, resulting in a 30% increase in user engagement through optimized content curation. Improved search results for ContentStudio.io's Discover module, enhancing user satisfaction. Collected and processed user engagements via APIs from Facebook and Twitter, leading to a 25% improvement in data accuracy. Developed a high-quality language generation solution for social media captions, achieving a 30% reduction in content creation time. Implemented production-level data-oriented projects with a focus on mathematical and statistical analysis.

Performed statistical and exploratory data analysis, resulting in improved data insights that increased decision-making speed by 30%.,Trained multiple ML models for diagnostic and predictive analysis, achieving an accuracy improvement of 15% over previous models. Developed and maintained in Python to extract data from external websites into a SQL database, enhancing data availability by 40%.,Collaborated with cross-functional teams to develop key performance metrics, leading to a 25% increase in business outcome efficiency., Analyzed customer spending behavior and mapped locations to identify customer segments, contributing to a 20% increase in targeted marketing effectiveness. Applied statistical techniques to interpret key insights from gathered data, enhancing reporting accuracy

Supported students during Capstone projects, resulting in a 20% increase in project completion rates.Preparing and delivering lectures, tutorials, and workshops

Worked as student researcher,Gathered, arranged and corrected research data to create representative graphs and charts highlighting results for presentations.o Worked both independently and collaboratively in fast-paced lab environment

o Prepared and submitted reports o Learned software engineering process improvements and best practices.Study open-source file encryption utility. Implement same encrypted file structure of Ax Crypt library encryption functions

In ISPR internship, I was responsible to prepare a report, presentation for users