Data Science Practitioner
Self employed
مجموع سنوات الخبرة :11 years, 8 أشهر
• Lead the team through STC Datathon 2019: Riyadh Traffic Management.
• Writer on Towards Data Science (TDS) Blog.
• Statistical data exploration and visualization.
• Data cleansing and wrangling.
• Data processing, transformation, and feature engineering.
• Machine Learning models: clustering, classification, and regression.
• Knowledge in models scoring, evaluating and validation.
• Excellent in Microsoft Azure Machine Learning Studio.
• Projects Example:
- Riyadh Traffic Management (GPS data analysis) - SQL, Python, Power BI
- Breast Cancer Cell Classifier - Accuracy 94.9% (SVC, PCA, and 10-folds cross-validation) - Python
- Time Series Analysis and Forecasting for A&E Attendances and Emergency Admission- R
- Flight Delay Prediction - Regression model with RMSE = 10 mins only - Python
- Saudi Stock Market Analysis and Forecasting (Tadawul) - Part I - R
- Tweet Sentiment Analysis - Azure Machine Learning, R
• Experience in managing medical solutions in different areas within hospitals. E.g. Laboratories, OR, ICU, ER, Supply Chain, Purchase and Contract departments.
• Excellent skill in cost-effective analysis and presenting ultimate solutions for healthcare leaders.
• Business development skills by exploring opportunities and opening new leads.
• Effective sales and marketing activities and plans.
• Forecast, revenue, and stock level planning.
• Building and updating business, financial and operation models and plans.
• Working closely with technical team for platform development.
• Designing the service platform including UI and UX.
• Go-to-market action plan and activities (lean startup)
• Collect and analyze different data and insights
erent data and insights
• Managing and developing products in healthcare sectors.
• Research new products and understanding users’ preferences.
• Develop products’ vision and its positioning in the market.
• Design wireframes and UX.
• Create action plan with involvement of technical team.
• Lead technical team (Developers and Designers) to build mHealth products.
• Help in QA of products and collect users’ feedback.
• Involvement in marketing activities.
• Nabdat App - Heart Rate Monitor: Android and IOS. Multi-Language “Arabic and English”.
ABET accredited program - GPA: 79.1% Graduation Project: Non-invasive Cholesterol Sensor. Nominated by ASRF as the best graduation project in 2012.