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Ahmed S. Mobile, Cloud and AI Platforms

My name is Ahmed S. and I have over 11 years of experience in the tech industry. I specialize in the following technologies: Mobile App Development, Flutter, iOS Development, Android App Development, Django, etc.. I hold a degree in Master of Computer Science (MSCS), Master of Business Administration (MBA), Master of Science (MS). Some of the notable projects I’ve worked on include: Comprehensive Full-Stack Solution (Android, iOS, and Web), Medical Appointment No-Shows Data Analysis, US Bikeshare Data analysis, Housing Prices Predication, Invoice Me, etc.. I am based in Cairo, Egypt. I've successfully completed 14 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

  • Mobile, Cloud and AI Platforms

    11 years

  • Mobile App Development

    6 Years

  • Flutter

    7 Years

  • iOS Development

    10 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Valeo

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Experience Highlights

Comprehensive Full-Stack Solution (Android, iOS, and Web)

This project represents a comprehensive digital transformation solution tailored for a financial consultation company. I have successfully developed mobile applications for both Android and iOS platforms, catering to both clients and employees. These applications empower users to seamlessly manage all client-submitted applications, streamlining the company's operations. Key Features of the Mobile Applications: - In-App Messaging: Facilitating real-time communication between clients and employees. - In-App Notifications: Keeping users informed of critical updates and developments. - Employee Management: Streamlining internal processes for efficient team management. - Ticketing System: Providing a structured platform for handling client requests and inquiries. - News and Articles: Offering a dynamic feed of relevant financial news and articles. - Application Tracking and Updating: Enabling users to monitor the progress of their submissions. Additionally, the project encompasses a web solution that includes an ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) system. These tools empower the company to efficiently oversee its employees and clients, enhancing productivity and client satisfaction. This project underscores my commitment to delivering end-to-end digital solutions that drive efficiency and elevate operational capabilities for businesses.

Medical Appointment No-Shows Data Analysis

A person makes a doctor appointment, receives all the instructions and no-show. Who to blame? In this project I made a deep analysis to figure out the issue of why some patients didn't show in their appointment.

US Bikeshare Data analysis

Using the data provided by Motivate, I was able to compare the system usage between three large cities: Chicago, New York City, and Washington, DC in interactive experience. A deep analysis was performed on the dataset to provide the following useful information: #1 Popular times of travel (i.e., occurs most often in the start time) most common month most common day of week most common hour of day #2 Popular stations and trip most common start station most common end station most common trip from start to end (i.e., most frequent combination of start station and end station) #3 Trip duration total travel time average travel time #4 User info counts of each user type counts of each gender (only available for NYC and Chicago) earliest, most recent, most common year of birth (only available for NYC and Chicago)

Housing Prices Predication

Provide a comprehensive prediction model or the price of any house in US.

Invoice Me

This was client management application that digitalize all the invoicing and manage everything between the buyer and seller, I developed the application including the following: • In app purchase (Android & Apple) • Firebase Integration • Complex UI Development • Invoice PDF generation

Education

  • Massachusetts Institute of Technology

    Master of Computer Science (MSCS) in Machine Learning

    2021-01-01-2022-01-01

  • Brooklyn College

    Master of Business Administration (MBA) in Business

    2016-01-01-2017-01-01

  • Helwan University

    Master of Science (MS) in Telecommunications engineering

    2004-01-01-2009-01-01

Languages

  • Arabic
  • English

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