omayma hadriche
@omaymahadriche
Data scientist and data engineer transforming data into strategic impact.
What I'm looking for
I am a data science and data engineering professional with a strong foundation in computer engineering and hands-on experience building data warehouses, ETL pipelines, machine learning models, and interactive dashboards. I bring analytical thinking, pragmatic creativity, and a drive to convert raw data into actionable business insights.
During internships I developed an end-to-end data warehouse for CAFPI, automated client-bank data processing with Azure Data Factory, created Power BI dashboards to monitor marketing KPIs, and implemented sentiment analysis using BERT. I also built solutions to detect counterfeit medicines using web scraping, image enhancement, OCR and NER, and deployed a Streamlit application for real-time analysis.
I am fluent in Python, SQL, and a range of ML frameworks (TensorFlow, PyTorch, scikit-learn) and cloud/BI tools (Azure Data Factory, SSIS, Power BI). I look for roles where I can apply my technical skills to solve real business problems, contribute to data platform development, and continue growing in data engineering and applied ML.
Experience
Work history, roles, and key accomplishments
Data Engineering Intern
Binit Nearshore Services
Feb 2024 - Jul 2024 (5 months)
Developed a data warehouse integrating CRM and web data to improve customer feedback analysis, automated ETL pipelines with Azure Data Factory, and built Power BI dashboards to monitor marketing KPIs; implemented BERT-based sentiment analysis to compare ML models.
Data Science Intern
Pixemantic
Jun 2023 - Aug 2023 (2 months)
Built a counterfeit-medicine detection pipeline using web scraping, image enhancement (ESRGAN) and OCR, applied NER and Jaccard similarity for fraud detection, and deployed a Streamlit app for real-time analysis.
Education
Degrees, certifications, and relevant coursework
Higher School of Engineering and Technology - ESPRIT
Engineering Degree in Computer Science, Computer Science
2019 - 2024
Activities and societies: Projects: Recommendation System (2023), Recycling Machine RVM (2023), Kidney Disease Detection (2023), E-Commerce Integration Project (2022)
Engineering degree in Computer Science completed with coursework and projects in data engineering, machine learning, and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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