Open to opportunities

Mariam Nabil Esmat

@mariamnabilesmat

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AI-focused data scientist skilled in NLP, deep learning, and medical AI solutions.

Egypt

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What I'm looking for

I seek a role building applied ML/NLP systems in healthcare or research-driven teams that value explainable AI, collaboration, and growth opportunities.

I am an AI-focused data scientist specializing in NLP, deep learning, and medical AI applications, with hands-on experience building end-to-end systems and research-grade models. I have completed internships and research roles where I applied ML/DL methods to real-world problems in finance, healthcare, and cultural heritage.

My achievements include an A+ graded Arabic medical AI assistant graduation project integrating RL and LLMs, developing hybrid knowledge retrieval and Medical VQA systems, and producing multiple publications on medical QA, bias detection, artifact classification, and EEG signal classification.

I bring strong technical skills in Python, model development (RNNs, LSTMs, Transformers, ResNet50, CatBoost), data engineering tools, and practical experience with retrieval systems, KG integration, and evaluation—aiming to deliver reliable, explainable AI solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Science Intern

Current

Tagaddod

Jul 2025 - Present (4 months)

Working on data science tasks in a hybrid role, applying ML and analytics techniques to support product and business needs since July 2025.

Machine Learning Python data preprocessing Model Evaluation Data Visualization NLP

Big Data Intern

Samsung Innovation Campus – Nile University

Aug 2024 - Oct 2024 (2 months)

Completed Big Data & Analytics training and gained hands-on experience with Hadoop, Kafka, Apache Spark, storage, processing, analytics, AI applications, and visualization.

Hadoop Kafka Apache Spark Big Data Data Analytics Data Storage Data Visualization AI Applications

Data Science Intern

EGBANK

Jul 2024 - Aug 2024 (1 month)

Developed ML models to predict credit card loan outcomes, performed preprocessing and feature engineering, and tuned classifiers (Random Forest, Decision Tree, CatBoost) with GridSearchCV to maximize precision, recall, and F1.

CatBoost Random Forest GridSearchCV Cross Validation Data Cleaning Python

NLP Intern

Smsm

Mar 2024 - May 2024 (2 months)

Worked remotely on developing and refining an Arabic question-answering dataset, improving data quality and annotation for downstream NLP tasks.

Data Annotation Data Cleaning Python Tokenization

Research Intern

Nile University CIS Research Center

Jul 2023 - Mar 2024 (8 months)

Analyzed deep learning and ML methods for EEG signal classification in P300 brain speller research, evaluating feature extraction, signal processing, and models including RNNs, LSTMs, Transformers, and LDA.

EEG Signal Processing Deep Learning RNN Transformers Feature Extraction Research Python

Research Intern

Nile University WINC Research Center

Jul 2023 - Feb 2024 (7 months)

Built a ResNet50-based classifier for materials of Egyptian artifacts and gained IoT and deep learning experience through model development and experimentation.

ResNet50 Computer Vision Deep Learning Model Training Transfer Learning IoT Python

Education

Degrees, certifications, and relevant coursework

Nile University

Bachelor of Computer Science, Artificial Intelligence

2021 -

Grade: 3.7/4.0

Activities and societies: Graduation project on Arabic medical dialogue state tracking; multiple research and internship projects in EEG classification, artifact material classification, NLP, and Big Data.

Pursuing a Bachelor of Computer Science with a major in Artificial Intelligence, completed coursework and projects in ML, DL, NLP, and data systems with a cumulative GPA of 3.7/4.0.