Mohamed Abdalmawla

Mohamed Abdalmawla

United Arab Emirates • 0 connections
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About
Detail-oriented Data Scientist seeking to leverage advanced analytical skills in Machine Learning and Forecasting to deliver measurable value within a fast-paced, innovation-led environment. Passionate Data professional dedicated to transforming complex unstructured data into actionable business insights through advanced feature engineering and state-of-the-art AI technologies.
Skills
Intermediate
Data Visualization Feature Engineering Machine Learning NumPy Pandas Python SQL Statistical Analysis Time Series Forecasting
Projects
Inview: AI-Driven Bilingual Video Interviewing & Proctoring Platform

September 2023 - Present

Developed an end-to-end AI platform for automated candidate screening using LLMs and Speech-to-Text, including a proctoring system and a dynamic dashboard for HR decision-making.

Predictive Maintenance for Aircraft Engines

June 2023 - September 2023

Built an end-to-end predictive maintenance system for aircraft engines using the NASA C-MAPSS dataset. Achieved ~85% validation accuracy and highlighted key warning signals for imminent engine failures.

Broadcast Viewership Forecasting

April 2023 - June 2023

Developed a machine learning forecasting model to predict broadcast viewership up to 15 days ahead using historical audience data. Achieved strong predictive performance with an R² score of 0.89 and low forecasting error.

Predictive Maintenance for Medical Equipment

January 2023 - April 2023

Engineered a predictive maintenance framework using Gradient Boosting and Random Forest to estimate the Remaining Useful Life (RUL) of critical medical assets, achieving an R² score and a Mean Absolute Error of 76 days. Developed complex interaction features and implemented Hierarchical Clustering to group 7,000+ medical devices, identifying maintenance history impact on failure risk. Extracted actionable business insights for proactive maintenance.

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