DataScrutineer

Amir Ragab

Data Scientist

About Me

I am a Data Scientist based in UAE, with an experience of over 3 years in Machine Learning, Deep Learning, and Data Analytics.

I help companies utilize data and AI to reduce costs, optimize workflows, and solve problems. I specialize in the IoT, Healthcare, and Education industries.

Some examples include:

Predictive Maintenance using Machine Learning – Water industry:

I implemented predictive maintenance using machine learning in water filtration pipes for a water filtration and delivery company, reducing maintenance costs by an estimated 20-30%. I achieved this by conducting data analysis, recommending tailored machine learning models, and implementing refined sensor data optimizations, adjusted data collection frequency, and enhanced maintenance scheduling. The result is a more efficient and cost-effective system.

Deep Learning Curriculum:

I developed a 120-hour structured deep learning curriculum for a company course, guiding learners from foundational neural networks to advanced topics like CNNs, RNNs, GANs, and transformers. Through 3 hands-on projects in image classification, sentiment analysis, and speech recognition, learners achieved practical mastery with real datasets. Proficiency in TensorFlow, a prominent deep learning framework, rounded out their skill set, ensuring a seamless transition to impactful real-world applications.

Machine Learning

I have experience implementing machine learning use cases like anomaly detection, classification, regression, clustering, predictive maintenance, and time-series forecasting.

Deep Learning​

I am also experienced with implementing Deep Learning use cases using models like Dense Neural Networks, CNNs, RNNs, LLMs and other models. These include Computer Vision and NLP use cases.

Data Analytics​

I am also proficient in analyzing data using programming languages, like Python and R, and constructing dashboards using Tableau and Power Bi to derive insights from operational and company data.

Technologies/ Tools

Python

Tensorflow

Machine learning

Deep Learning

Data Analysis

Keras

Tableau

Power Bi

Microsoft Azure

PySpark

My Experience

2023 – Present

e& Enterprise

Data Scientist

My responsibilities include:

– Implementing and leading AI use cases and projects concerning different IoT sensor data.
– Constructing Dashboards for operational data and IoT sensor data for tracking, monitoring, and deriving insights
– Building machine learning models for predicting and forecasting different scenarios and use cases.

2020- 2023

DataScrutineer

Data Scientist

Helped several companies in the US and UK make data-driven decisions that reduced costs, optimized workflows, and solved problems.

Some examples include:

– Implemented predictive maintenance using machine learning in water filtration pipes for a water filtration and delivery company, reducing maintenance costs by an estimated 20-30%.

– Developed a 120-hour structured deep learning curriculum for a company course, guiding learners from foundational neural networks to advanced topics like CNNs, RNNs, GANs, and transformers using 3 hands-on projects in image classification, sentiment analysis, and speech recognition.