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Schedule Interview NowMy name is Ahmed M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Data Science, Computer Vision, Python, Machine Learning, C++, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Other. Some of the notable projects I've worked on include: Covid-19 Data visualization 📈 per Country using dash and plotly, Arabic Handwritten Characters Recognition, seoul bike rental prediction using Random Forest and Xgboost, Dry Bean Classification using using Support Vector Machine, Data science track from datacamp, etc.. I am based in Cairo, Egypt. I've successfully completed 8 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
Main technologies
4 years
2 Years
3 Years
3 Years
Potentially possible
university of sharjah
In this project, for every country I visualize different statistics of the covid-19 data in the period from Jan 2020 to Dec 2020. here are the features that the project provide: • customer can select
goal of this project is to recognize and classify images of handwritten Arabic characters. work done includes: • Usage of Convolutional neural network to classify the Arabic characters. • Data augment
• goal is to predict the hourly rate of bike rental of Seoul city • data contain historical records of rental in 2017 and 2018 along with the weather data • metric used is root mean squared log error
being a part of Kaggle comptetion, the goal of this project is to classify different kinds of dry beans🥜 . Seven different types of dry beans were used in this research, taking into account the featu
during along journey of 32 courses in this track, I have learnt many real world skills. the track has covered many data science topics • worked on many projects • leveled up my analytical skills.
Bachelor of Computer Science (BCompSc) in Computer engineering
2013-01-01-2018-01-01
Other in Machine Learning and Artificial Intelligence
2020-01-01-2021-01-01