Rashed Almogezwi

Data Scientist

Dubai, United Arab Emirates1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in predictive modeling and data-driven solutions.
Enhanced chatbot accuracy from 78% to 93% using AI techniques.
Developed scalable data pipelines for global market analysis.

Stackforce AI infers this person is a Data Science expert in SaaS with strong predictive modeling and AI capabilities.

Contact

Skills

Core Skills

Data SciencePredictive ModelingArtificial Intelligence (ai)Machine Learning

Other Skills

PySparkPassenger demand forecastingPower BIData analysisPrompt EngineeringLarge Language Models (LLM)Auto-ARIMATree-based algorithmsPythonMarket DataCritical ThinkingPandas (Software)MatplotlibExploratory Data AnalysisStatistics

About

Data Scientist at Emirates Group (Enterprise Data Analytics), with a background in Computational Data Science from Pennsylvania State University. Skilled in Artificial Intelligence (AI), Predictive Modeling, and Advanced Analytics, delivering data-driven solutions and actionable insights

Experience

1 yr 2 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Emirates

3 roles

Data Scientist

Mar 2025 – Present · 1 yr 2 mos

Agency Sales Project:
Developed scalable PySpark data pipelines to automate the Agency Sales Incentive framework, improving reliability and refresh efficiency across global markets.
Built passenger demand forecasting models using market- and industry-level data, supporting incentive planning and forward-looking decision making.
Designed forecast accuracy metrics and KPI frameworks to evaluate model performance and monitor incentive effectiveness.
Analyzed Emirates vs Industry share and revenue performance using MIDT and DDS datasets, identifying underperforming and high-opportunity markets.
Automated flagged-incentive detection and alerting logic, enabling early identification of performance deviations.
Developed Power BI dashboards and visuals to provide senior stakeholders with clear, market-level performance insights.

PySparkPassenger demand forecastingPower BIData analysisData SciencePredictive Modeling

Data Scientist

Promoted

May 2024 – Aug 2024 · 3 mos · Dubai, United Arab Emirates

GenAI EKAS Chatbot:
Improved chatbot accuracy from 78% to 93% through prompt engineering, SOP analysis, data cleaning, and enhanced retrieval methods.
Optimized responses by comparing LLMs and refining how the model matches queries to relevant information.
Cashflow Project:
Built five machine learning models to forecast flight seat demand, improving prediction accuracy with bias correction techniques.
Agent Sales Incentive:
Attended several meetings with commercial ops team

Prompt EngineeringLarge Language Models (LLM)Machine LearningArtificial Intelligence (AI)

Data Scientist

Jun 2023 – Aug 2023 · 2 mos · Dubai, United Arab Emirates · On-site

Utilized Auto-ARIMA and tree-based algorithms for forecasting projects on flight level load prediction and Lounge passengers, gaining proficiency in Python, Power BI and Dataiku.

Auto-ARIMATree-based algorithmsPythonPower BIData SciencePredictive Modeling