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👋 Hi, I’m Mohammed Salama, a seasoned Lead Machine Learning Developer and Data Scientist. My enthusiasm lies in leveraging data to unravel intricate challenges, delivering substantial value to businesses and their clientele. I am deeply interested in applying ML/Data Science in diverse areas such as:
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Fraud Detection: Utilizing advanced algorithms to identify and mitigate fraudulent activities.
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Loss Forecasting: Predicting potential losses using data-driven insights to inform strategic decisions.
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Growth Strategy: Harnessing data to drive business expansion and market dominance.
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Customer Segmentation: Tailoring marketing and product strategies by grouping customers based on data trends.
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Profitability Analysis: Analyzing data to optimize financial performance and profit margins.'
Mohammed Salama dataubc
Combining the rigorousness of engineering and the deep insights of data science, the love of philosophy and the passion for story telling.
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Neo Financial
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fraud_detection_model_dev_example
fraud_detection_model_dev_example PublicAn example on how to use python to structure a simple project for using ML to detect fraudulent transactions
Python
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Modeling_IFT_for_heavy_oil_emulsion
Modeling_IFT_for_heavy_oil_emulsion PublicModeling for paper "Underlying Physics of Heavy Oil Recovery by Gas Injection: An Experimental Parametric Analysis When Oil Exists in the Form of Oil Based Emulsion"
HTML 1
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model_deployment
model_deployment PublicPart of my teaching at Concordia Data Science Bootcamps
Jupyter Notebook 15
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diabetes_risk-prediction
diabetes_risk-prediction PublicEarly stage diabetes risk prediction
Jupyter Notebook
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number_of_clicks_prediction
number_of_clicks_prediction PublicPredicting the number of clicks for a hotel listing site
Jupyter Notebook
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