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Schedule Interview NowMy name is Ahmed S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python Scikit-Learn, Deep Learning Modeling, MySQL Programming, NoSQL Database, TensorFlow, etc.. I hold a degree in Master of Science (MS). Some of the notable projects I've worked on include: OLIST E-commerce Reporting Dashboard, Leaf Image Operations, Color Based Image Segmentation, Text to SQL Generator, Financial Expense Tracker (FET). I am based in Riyadh, Saudi Arabia. I've successfully completed 5 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
3 years
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1 Year
2 Years
Potentially possible
STEM-Away
Microsoft PowerBI dashboards on OLIST Brazilian E-commerce. Executive Insights, Exploratory Analysis, Customer Investigation and Satisfaction, Delivery Analysis and Forecasting.
Enhancing Plant Disease Detection using Advanced Image Segmentation and Deep Learning
An HSV-based Image Segmentation Web App using Flask, enabling users to explore color boundaries for precise segmentation
This app transforms natural language questions into SQL queries, making data querying accessible to everyone. It provides two responses: the AI response (the generated SQL query) and the SQL response
This project delves into the intricate connections between various platforms to enable users to effectively track their daily expenses and gain actionable insights into their financial health. It harn
Master of Science (MS) in Data Science
2022-01-01-2024-01-01