I’m Mohamed, a Data Scientist & Analyst who turns raw data into actionable insights. In my first two years of self-education, I completed over 40 data projects. I then tackled several case studies solving real-world business problems, including A/B testing, customer segmentation, and sentiment analysis.
Using tools like Python, SQL, Excel, Power BI, and Tableau, tailored to business needs, I specialize in:
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Data Collection: Extracting data from databases, APIs, web pages, and third-party sources, ensuring completeness, relevancy, and usability.
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Data Cleaning & Preprocessing: Fixing errors, handling outliers, removing duplicates, filling missing values, and standardizing formats for accurate analysis.
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Data Visualization & Reporting: Building interactive dashboards and reports to show trends, track key metrics, and uncover insights.
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A/B Testing & Experimentation: Running controlled tests to optimize campaigns, features, and user experiences.
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Predictive Modeling: Using ML & DL to forecast trends, behaviors, and outcomes with a balance of accuracy and explainability.