Highly skilled Data Scientist with experience in developing real-time solutions for telecom operators, including anomaly detection, time-series forecasting, and event correlation. Expertise in crafting fast-forecasting algorithms to process real-time data streams, ensuring accurate predictions with minimal delay. Proficient in advanced anomaly detection, time-series analysis, and event correlation to uncover hidden network relationships. Demonstrated ability to develop complex Large Language Model (LLM) agents for tasks such as code generation and report generation. Strong background in data analysis, predictive modeling, and data visualization, with a proven track record of delivering collaborative and impactful solutions on time and within budget.
| ๐ Nationality | ๐ช๐ฌ Egypt |
| ๐ก Residency | ๐ช๐ฌ Egypt |
| ๐ Location | ๐ช๐ฌ Egypt |
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rok.co/@zalaa171 |
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| Skilled in | data analytics data science machine learning reinforcement learning artificialintelligence llms python r java sql git docker pandas numpy pytorch tensorflow scikit learn spacy nltk statsmodels langchain |
| Fluent in | arabicenglish |
| Preferred annual pay (min) | $30,000/year |
| Last seen | 1 year ago |
| Signed up | 1 year ago |
| Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2023 - Now: Data Scientist @ GreySkies
2019 - 2023: BSc, Computing and Data Science. @ Alexandria University, Faculty of Computers and Data