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I analysed restaurant data to identify customer preferences, pricing patterns, popular cuisines and performance trends. I cleaned and explored the dataset using Python, Pandas, NumPy, Matplotlib and Seaborn, then presented the findings through clear visualisations and actionable business insights.
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Thrilled to share that I have officially completed the training program at Manara!
Throughout this journey, I’ve deeply enhanced my technical skills in data and machine learning, working through rigorous projects and sharpening my expertise in building scalable, real-world solutions.
A huge thank you to the entire Manara team and mentors for the incredible guidance and support. This is a solid milestone, and I’m super excited for the next chapter—gearing up for the AWS Certified Machine Learning Engineer exam and diving deeper into MLOps!
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Huge congratulations, Hazem! Such a great milestone😊
On this couriers' based mobile app, I decided to use a different approach to visualise analytics in a more functional way rather than just numbers.
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"Before" is actually way more functional for couriers on the go. A driver needs glanceable numbers in seconds candlestick/bar charts add unnecessary cognitive load when they are in transit.