Moataz Abdelaziz
Data ScientistMember since June 27, 2026
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 is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-operations-automation-agent
May 10, 2026 – Present
AI-powered operations and procurement automation platform with FastAPI, PostgreSQL, MCP tools, Slack reporting, scheduled jobs and Streamlit dashboard.
View Projectprophet-based-time-series-forecasting
March 2, 2026 – Present
Time series forecasting project using Facebook Prophet to predict weekly trends with holiday effects and external regressors. Includes model training, parameter tuning, cross-validation, and visualization for actionable insights.
View Projectrevenue-forecasting-arima-sarima-sarimax
March 2, 2026 – Present
End-to-end time series revenue forecasting project using ARIMA, SARIMA (weekly seasonality), and SARIMAX with external variables (discount and coupon rates). Includes EDA, stationarity testing, cross-validation, hyperparameter tuning, and future forecasting with performance evaluation (MAE, RMSE, MAPE).
View Projectlegal-ai-assistant
February 20, 2026 – Present
Legal AI assistant using embeddings + Flan-T5 with FastAPI, Streamlit, Docker, and Kubernetes deployment on GCP.
View Projecthr-rag-system
January 21, 2026 – Present
RAG system for HR employee insights using OpenAI, LangChain, Chroma, and Gradio.
View Projectautonomous-market-competitive-intelligence-ai-system
December 23, 2025 – December 23, 2025
Autonomous Market & Competitive Intelligence AI System: A multi-agent AI system using crewAI to autonomously research market trends, analyze competitors, and generate strategic insights and reports leveraging LLMs and structured memory.
View Projectdata-analysis-projects
March 12, 2025 – Present
data-analysis-projects — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and a passion for AI/ML. The diversity of projects, from time series forecasting to AI assistants and multi-agent systems, suggests adaptability and a broad interest in the field. However, the lack of team-based or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various AI/ML technologies.