Open to opportunities

Aderssa Dhia

@aderssadhia

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Data Science Engineer passionate about optimizing business processes with AI.

France

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What I'm looking for

I am looking for a role that fosters innovation and allows me to apply my data science skills to impactful projects.

I am a Master’s graduate in Intelligent Systems and Applications with a robust background in Data Science, Data Engineering, and AI. My passion lies in leveraging data-driven solutions to optimize business processes and drive innovation. I have hands-on experience in machine learning, deep learning, and big data technologies, and I excel at transforming complex datasets into actionable insights.

In my recent role as a Data Engineer at Orange France, I successfully improved the data model and ETL flows of a tabular cube, enhancing data exposure in Power BI by over 20%. I also designed an anomaly detection mechanism for invoicing data, utilizing SQL queries and Power BI for effective data visualization. My experience includes optimizing backend data flows and accelerating workflows by 40% through data processing optimization with Apache Spark and Scala.

Additionally, I have developed machine learning models to anticipate sales trends and automated interactive dashboards at the International Arab Bank of Tunisia, significantly reducing manual reporting time. I am committed to continuous learning and applying my skills to solve real-world challenges through innovative data solutions.

Experience

Work history, roles, and key accomplishments

Data Engineer

Orange France

Apr 2024 - May 2024 (1 month)

Worked on improving data models and ETL flows for a tabular cube, enhancing data exposure in Power BI by 20%. Implemented an anomaly detection mechanism on invoicing data using SQL and Power BI, and optimized backend data flows, improving ergonomics by 70%. Developed machine learning models to predict sales trends.

Machine Learning SQL Power BI Python Apache Spark Scala Data Engineering Data Visualization ETL

Data Scientist/Analyst

International Arab Bank of Tunisia

Jun 2023 - Aug 2023 (2 months)

Automated interactive dashboards, reducing manual reporting time by 70%. Developed an NLP-based customer feedback analysis model and designed a facial recognition authentication system using OpenCV and Python.

NLP Python SQL Power BI OpenCV Data Analysis Customer Insights Machine Learning

Data Science Project

Esprit Tunis

Jan 2023 - Jun 2023 (5 months)

Developed a competency-based curriculum platform to align university syllabuses with labor market demands, utilizing machine learning models for optimized recommendations.

Machine Learning SQL Python CRISP DM Data Analysis Recommendation Systems Project Management

Academic Project: Chronic Kidney Disease Classification

Esprit Tunis

Sep 2022 - Jan 2023 (4 months)

Automated the diagnosis of chronic kidney disease using machine learning techniques, implementing models such as KNN, Xgboost, and Random Forest in Python.

Machine Learning Python Data Analysis K NN XGBoost Random Forest Pandas Healthcare Technology

Academic Project: Yoga Pose Classification

Esprit Tunis

Sep 2022 - Jan 2023 (4 months)

Conducted a deep learning project for classifying yoga poses using convolutional neural networks (CNNs) and transfer learning to enhance model accuracy.

Deep Learning CNN Python Transfer Learning Data Analysis