Skip to content
View nancyboukamel-ds's full-sized avatar

Block or report nancyboukamel-ds

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nancyboukamel-ds/README.md

Hi, I'm Nancy Bou Kamel 👋

💡 Data Scientist | MLOps Engineer | Production-Grade AI Architect

I am a result-driven Data Science professional specializing in the end-to-end development and deployment of resource-optimized AI systems.

My expertise aligns with modern infrastructure goals, focusing on Cloud Modernization (AWS), MLOps, and production engineering services to drive measurable business value. I leverage advanced Deep Learning (PyTorch) and robust engineering practices (CI/CD, Docker, clean code) to build scalable, reliable, and secure solutions.


💻 Technical Toolkit

Category Tools & Frameworks
Deep Learning PyTorch, TensorFlow, Transformers, CNN, RNN, Optuna, FastAPI
MLOps & Cloud AWS (IAM, Lambda, S3, Step Functions), Docker, Git, CI/CD (Jenkins, CodePipeline), Linux
Data & Core Tech Python (Pandas, Numpy, Dask), PySpark, SQL, NoSQL, OOP
Specializations Generative AI (LLMs, RAG, LangChain), ASR, Time Series Forecasting, Anomaly Detection

🔥GitHub Statistics🔥


🤝 Connect with Me

Pinned Loading

  1. Vector_db_RAG Vector_db_RAG Public

    A scalable RAG system built with Python, Flask, and FAISS that uses a retrieval model and a generative model to provide fact-based answers, optimized with GPU acceleration for efficient vector sear…

    Jupyter Notebook 1

  2. Berlin-Traffic-Jam-Detection Berlin-Traffic-Jam-Detection Public

    This project detects traffic jams in Berlin using real-time sensor data. It employs anomaly detection techniques like autoencoders and IQR to identify traffic congestion across segments and time in…

    Jupyter Notebook 1

  3. mall_customer_segmentation mall_customer_segmentation Public

    This project utilizes clustering algorithms such as K-Means, DBSCAN, and Affinity Propagation to identify customer segments in a mall based on factors like annual income, age, and spending score.

    Jupyter Notebook

  4. stock_price_prediction stock_price_prediction Public

    Stock Price Prediction And Forecasting Using Stacked LSTM

    Jupyter Notebook

  5. ChocoDelight ChocoDelight Public

    The ChocoDelight Factory project uses machine learning to predict production issues, identify key problem factors, and estimate rework savings. An interactive dashboard displays predicted vs. actua…

    Jupyter Notebook

  6. TennisEye TennisEye Public

    An advanced analytical platform that utilizes computer vision to study ball dynamics and player interactions, providing deep insights for enhanced game performance.

    Jupyter Notebook 1