- Technical lead of GPUaaS in STC cloud.- AI use cases development and productization of MLOps and AI workloads.- Collaborate with other teams to ideate, evaluate use of softwares, platforms and AI to support their priorities including AI/ML/DL, Big Data, IoT…etc.- Established state-of-the-art models, algorithms by prototyping/testing in lab setting, studying feasibility and efficiency, and perform technical performance benchmarking.- Develop data and AI strategy, roadmap, and data analysis methodologies.- Manage advanced analytics projects and initiatives.

Develop statistical and predictive models for different businesses according to company projects.Analyse data-sets, forecasting, mathematical/statistical modelling,Solve analytical problems using quantitative approaches to generate insights from data. Saudi Customs Responsibilities:Conducting detailed analytical models of potential suspicious activity in Saudi Customs (Commercial Fraud).Analyse transaction patterns and fraud trends to develop effective and dynamic anti-fraud strategies based on fraud events,importers segment and declarations' items.Build importers segmentation based on importing behaviourBuild associations analysis of seizures reports (persons, vehicles, declarations,...).Building Predictive Model for item declarations valuation.Building Forecasting Models for Saudi Customs Revenues.Oracle Data Miner 12c(ODM).Oracle R.Oracle BI.

Create data mining architectures, statistical reporting, and data analysis methodologies. Develop statistical and predictive models for different businesses according to company projects. Build prediction model for subscribers and revenue time series. Build analytical models like churn prediction, cross cell, customer segmentation. SAS Code. SAS STAT. SAS Enterprise Guide. SAS Enterprise Miner. Credit Scoring. Portfolio Analysis. Oracle Miner. SAS Time Series. SAS OR.

Designing and maintaining processes for measurement, tracking, reportingand analyzing traffic data from GSM devices.Recognizing and extracting indicators from collected data to interpret andexpress indicators in the traffic system.Build arrival time prediction model using neural network & kalman filter.Implement the proposed model.Validate and Test the proposed model.