Mahmoud Hassan
Muscat, Oman
IT, Data science, Software development, Machine Learning
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His\Her Talents

Years of experience: 10-15 years
Abilities: Active and dynamic
Languages:
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{{ ''|langNameByCode}} - Full professional proficiency
Accomplishments:
I'm experienced in data science, and with nine years of experience as a software engineer under my belt, I think I can be a great asset to your organization. My professional experience includes crafting algorithms and making use of machine learning to mine and make sense of data, and then using data visualization to present said data to decision makers. Couple this experience with my passion for data, and I think I’d be an excellent fit.

Profile

Educations

  • Date attended: from: 2007 to: 2011
    School: Faculty of Industrial Education, Suez Canal University
    Degree: Bachelor's Degree

Experience

  • Name company: Taqat LLC
    Title: Senior Software engineer
    Location: Muscat, Oman
    Experience abroad: No
    Time period: from: 09.2020 to: 11.2022
    Description:
  • Name company: LAMAD LLC
    Title: Machine Learning Engineer
    Location: Muscat, Oman
    Experience abroad: Yes
    Time period: from: 11.2022 I currently work here
    Description: • Designing ML systems. • Researching and implementing ML algorithms and tools. • Selecting appropriate data sets. • Picking appropriate data representation methods. • Identifying differences in data distribution that affects model performance. • Verifying data quality. • Transforming and converting data science prototypes. • Performing statistical analysis. • Running machine learning tests. • Using results to improve models. • Training and retraining systems when needed. • Extending machine learning libraries. • Developing machine learning apps according to client requirements. • Reviewing systems & business requirements and facilitating the implementation of new processes in line with the objectives • Providing strategic advice on using technology to achieve goals; suggesting innovative IT initiatives and collaborating with in-house technical staff to implement the same• Designing ML systems. • Researching and implementing ML algorithms and tools. • Selecting appropriate data sets. • Picking appropriate data representation methods. • Identifying differences in data distribution that affects model performance. • Verifying data quality. • Transforming and converting data science prototypes. • Performing statistical analysis. • Running machine learning tests. • Using results to improve models. • Training and retraining systems when needed. • Extending machine learning libraries. • Developing machine learning apps according to client requirements. • Reviewing systems & business requirements and facilitating the implementation of new processes in line with the objectives • Providing strategic advice on using technology to achieve goals; suggesting innovative IT initiatives and collaborating with in-house technical staff to implement the same

His\Her Wishes

Industry sector : Energy, Public Service , Real Estate, Urbanism, IT, Telecom, Technology and Electronics
Specific activity : Social Economy, NGO, NS
Location: United States / United Kingdom / Canada / Emirates - The World Islands - Dubai - United Arab Emirates
Market type : B2C and B2B Domestic, International, Africa, America, Middle East
Progress of project:
1 Definition of Concept
2 Prototype
3 Test
4 First customers
5 First revenues
6 Development
7 International Development
8 Cession / Buyout
Need of income: Not specified
Interested in break-through innovation : Yes
Degree of implication : 30-60% Available
Funding capacity : Under 20 K
Return on investment planned : Not specified
Wish to be involved for a period of : Don't know
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