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Data Scientist @ Banque Misr | Mid level - Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with over 2 years of hands-on experience. Skilled in Data engineering, analysis, and visualization, proficient in tools such as SQL, Spark, Hadoop, Pandas, NumPy, Seaborn, and Matplotlib. Strong background in Statistical analysis, Quantitative Analytics, Python, and R programming, with expertise in frameworks including TensorFlow, PyTorch, Scikit-learn, Keras, SpaCy, and OpenCV.
Zewail City of Science and Technology
Bachelor of Engineering - BE, Communication and Information Engineering
January 1, 2018 – January 1, 2023
Banque Misr
Data Science Specialist
August 1, 2025 – Present
Cairo, Egypt · Hybrid
Turing
Data Scientist
August 1, 2024 – February 1, 2026
Remote
Upwork
Data Scientist
April 1, 2021 – July 1, 2023
InstaDeep Ltd
Machine Learning Intern
August 1, 2020 – October 1, 2020
Zewail City Science Festival
Head Of Marketing
May 1, 2019 – June 1, 2020
Al Jizah, Egypt
Cultural Fit Analysis
The candidate has experience in diverse environments, including a large bank (Banque Misr), a contract role (Turing), freelance work (Upwork), and an internship (InstaDeep Ltd). The 'Head Of Marketing' role also shows involvement in non-technical areas. This diversity suggests adaptability. However, the lack of detailed project descriptions makes it difficult to assess alignment with specific team cultures or collaborative styles. The target role is 'Data Science Specialist', which aligns well with the candidate's recent experience. The breadth of skills is somewhat limited in the provided data, focusing primarily on Data Science and ML.
Soft Skills & Operational Fit
The candidate's experience as 'Head Of Marketing' at Zewail City Science Festival suggests leadership and organizational skills. The description of the InstaDeep internship indicates a learning-oriented attitude and ability to apply theoretical knowledge to practical problems. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.