Hello, I'm Mohamed
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Designing, developing, and implementing machine learning models using tools like Langchain, enhancing data interpretation and decision-making capabilities.
Creating and managing generative AI projects, including crafting effective prompts that optimize the performance and usability of AI models.
Building user-friendly applications with tools like Gradio, focusing on creating intuitive interfaces for machine learning models and ensuring seamless user experiences.
fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset.
transforming information and data into a visual context, such as a map or graph, to make data easier to understand.
writing an overview of the problem, modeling the data approach and the result, and the summary of the analysis.
B.Sc. in Information Technology (Expected 2025)
Data Analysis Nanodegree
Developed and implemented AI models, collaborated with cross-functional teams, and optimized machine learning algorithms for performance.
Handled customer inquiries, provided product information and support, and maintained high customer satisfaction ratings.
This project involved working with a hypothetical dataset to create document embeddings that capture the semantic meaning of texts. Using advanced techniques in NLP, I trained models to generate embeddings that could be used for various downstream tasks such as text classification, clustering, and semantic search. The resulting embeddings were visualized to understand the distribution and relationship between different document types.
Open the projectIn this project, I focused on enhancing the accuracy of search results by training a Retrieval-Augmented Generation (RAG) model for semantic search. The dataset included a large corpus of documents, and the goal was to improve the relevance of search queries by understanding the intent and context behind them. I fine-tuned the RAG model to optimize its performance, resulting in a more intuitive and efficient search experience for end-users.
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This data comes from a Kaggle dataset, it includes the census data for all counties in 2015. I have visualized this dataset using tableau and I made 1 story and 2 dashboards. I wrote for every visualization summary and the reason that we chose this specific design feel free to check them out and read further info.
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This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment.
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in this project, I used python to explore data related to bike share systems for three major cities in the United States Chicago, New York City, and Washington.
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The Parch and Posey Database holds information about a music store. I made 4 questions using the SQL, so I will be able to understand their media in their store, their customers and employees, and their invoice information.
Open the project"Mohamed's contributions as an AI Engineer were instrumental in pushing our projects to success. His expertise in developing AI models and collaborating with cross-functional teams was evident in every task he handled. His ability to innovate and optimize machine learning algorithms helped us achieve better performance and faster results. Mohamed's dedication and problem-solving skills are truly commendable."
"As a Customer Service Representative, Mohamed consistently exceeded expectations. His ability to quickly build rapport with customers and resolve their issues was impressive. His work ethic and commitment to maintaining high customer satisfaction rates played a crucial role in our team’s success. Mohamed's proactive approach and attention to detail make him an asset to any team."