dhia braiek

Designed an automated AI pipeline that streamlined weekly content strategy by scraping competitor data, analyzing it with a cost-optimizing multi-agent system, and generating a ready-to-publish content calendar, enhancing efficiency in content planning. Co-developed an advanced multi-agent AI chatbot for expert-level football analysis, architecting the system with LangGraph, a supervisor agent, an

Built end-to-end sentiment analysis and topic classification pipelines, visualizing results in Power BI. Scaled and automated outreach to 50k+ creators via browser automation, doubling DM response rates with AI-personalized messaging.

Engineered a real-time data pipeline using Kafka to stream data from MongoDB to PostgreSQL, enabling live updates for Power BI dashboards. Conducted Survival Analysis on lung cancer patients, building a predictive model using R.

Designed and implemented a Python-based ETL pipeline to extract, preprocess, and clean data from Oracle databases, ensuring high accuracy and reliability in downstream processes. Developed and deployed a machine learning model for employee churn prediction, achieving a 93% accuracy, and integrated the model into a web application with interactive dashboards.

Studied Business Administration with a focus on Business Analytics. Gained expertise in data analysis, business intelligence, and strategic decision-making.