نبذة عني
Data Scientist specialized in machine learning and analytics to solve business problems through data-driven decisions. Focused on delivering clear, actionable insights that generate measurable business impact.
الخبرة
Data Scientist
I led data science projects from start to finish, from business problem definition to the delivery of actionable insights and predictive models.I designed, built, and validated regression, classification, and recommendation system models using Python (TensorFlow, Keras) and R.I used advanced SQL to extract, clean, and prepare large volumes of data, ensuring quality for modeling.I translated model performance into measurable business impact, including projecting a 34% increase in web traffic and achieving an RMSE of 0.783 in a recommendation engine.
Data Scientist
Worked on predictive modeling, passenger analytics, and operational reporting at a major international airport.
Focused on flight punctuality, customer experience, and standardized data pipelines across departments.
Built a flight delay risk model that, with only 30% alert coverage, identified 72% of delayed flights, improving on-time performance by +4.3pp on targeted flights in 12 weeks.
Linked 4,200+ passenger surveys with operational KPIs; satisfaction scores increased from 3.6 to 4.1, while formal complaints per flight decreased –10% after targeted improvements.
Developed SQL data marts, R pipelines, and Tableau dashboards updated hourly, reducing manual reporting time by 80% and standardizing KPIs (punctuality, baggage, gate changes, cancellations, security wait times).
Delivered three recurring reports with measurable results: Weekly Operations (–12% gate changes), Passenger Experience (–9% peak-hour queues), and Baggage & Punctuality (–8% incidents).
Data Scientist
Built a flight delay risk model that identified 72% of delayed flights, improving on-time performance by +4.3pp, Linked 4,200+ passenger surveys with operational KPIs; satisfaction scores increased from 3.6 to 4.1, Developed SQL data marts, R pipelines, and Tableau dashboards updated hourly, reducing manual reporting time by 80%, Delivered three recurring reports with measurable results: Weekly Operations, Passenger Experience, and Baggage & Punctuality