Projects I Completed
Built using the Technologies & Tools:
Computer VisionTensorflow-KerasConvolutional NetworksDjangoAzure App Services & DevOpsGitDeep LearningGithub Actions
Built using these Technologies & Tools
Computer VisionMulticlass Image ClassificationKeras-TensorflowCNNsAzure DevOps & App ServicesGitDockerDjango
Built using these Technologies & Tools
CGANsTensorFlow - KerasCGANs - CNNsImage ProcessingImage GenarationImage AugmentationStreamlit
Built using these Technologies & Tools
Deep Convolutional Denoising AutoEncoderstensorflow-KerasGitImage Similarity MetricsImage ProcessingDeep Learning
Built using these Technologies & Tools
Azure ML ServicesMLOPsMachine LearningScikitLearnMLFLOWDocker
Built using these Technologies & Tools
Machine LearningScikit LearnStreamlitPredictive AnalyticsClassificationCustomer Analytics
Built using the Technologies & Tools:
Computer VisionTensorflow-KerasConvolutional NetworksGitDeep LearningJupyter
Built using these Technologies & Tools
Computer VisionMulticlass Image ClassificationKeras-TensorflowCNNsAzure DevOps & App ServicesGitDockerDjango
Built using the Technologies & Tools:
Computer VisionTensorflow-KerasConvolutional NetworksPytorchOpencvJupyter
Built using these Technologies & Tools
Computer VisionMulticlass Image ClassificationKeras-TensorflowCNNs
Jobs I have Completed
Miltenyi Biotec
Cologne, Germany | September 2025 – Present
Achievements:
Developed machine learning and data processing pipelines for scientific and laboratory data under industrial and regulated constraints.
Designed and implemented Python-based automation scripts to process, validate, and analyze large-scale experimental datasets.
Applied computer vision and statistical learning methods to extract meaningful features from complex biological and measurement data.
Collaborated with biologists, engineers, and QA teams to translate experimental requirements into robust ML solutions.
Contributed to scalable and maintainable codebases following best practices for testing, documentation, and reproducibility.
Supported model evaluation, optimization, and deployment workflows aligned with industrial reliability and quality standards.
Skills: Biotechnology & Life Sciences Applied Machine Learning Scientific Data Processing Python Automation Pipelines Computer Vision Data Validation Industrial AI
Aachen, North Rhine-Westphalia, Germany | June 2024 – August 2025
Achievements:
Algorithm Development for Processing and Alignment of EBSD Patterns Data using Image processing and Computer Vision Methods.
Within a Materials Engineering Group, Developing Computer Vision Methods for Defect Detection in Nickel Alloys using Electron Backscatter Diffraction Data
Developing scripts and automation pipelines in Python and shell for simulation tasks and large-scale data processing.
Designing and implementing machine learning workflows for unsupervised feature extraction to support spatial analysis and microstructure characterization.
Writing scalable code for scientific applications and ML, managing cluster jobs with Slurm.
Leading an Experimental class for Bachelor's Students in Materials Engineering .
Skills: Materials Engineering, Metallurgy Software Development and Automation Python, Shell PyTorch Scikit-Learn Deep Learning AutEncoders
Algiers, Algeria | February 2023 – July 2023
Achievements:
Enhanced Sales insights in 2 departments, business development and marketing via Deep Learning-based Market Segmentation reaching a 75% reduction in human intervention in the process.
Modernized segmentation by uniting +27 features in revenue, demand, and supply data and building an AutoEncoder combined with Kmeans in Keras-Tensorflow, and Scikit Learn.
Reached highly Separable 94% and 0.79% and Interpretable Customer Segments through 2 distinct Models implemented on carefully engineered sets of Binary and Categorical features.
Developed a robust architecture using TensorFlow and sci-kit-learn (sklearn) to enable efficient market segmentation based on customer data.
Skills: Market Segmentation Customer Analytics Python Tensorflow-Keras Scikit-Learn Deep Learning Generative AI AutEncoders
Samsung Electronics through GomyCode
Algiers, Algeria | July 2022 – December 2022
Achievements:
Conducted 270+ hours of workshops for 15 students, covering fundamental topics in Python, Data Science, Machine, Deep Learning, Tensorflow, Computer Vision, NLP, and Mathematics.
Obtained a 98% satisfaction rate as Instructor and Mentor, collaborating with 3 teams on final AI projects in Tourism, Well-Being, and Healthcare ensuring quality delivery to Samsung Jury.
Enforced the Samsung Innovation Campus 10 Chapters curriculum by incorporating the latest advancements and practices in the lectures and Fostering an atmosphere of Interactive Learning.
Skills: Solid Understanding of Machine & Deep Learning Fundamentals Presentation & Public Speaking Communication & Teamwork Adaptability and OrganizationLeadership and Mentorship Curriculum Development
Achievements:
Attained a 95% accuracy in forecasting environmental factors impacting crop growth for 3-day predictions leading to data and model-centric decisions that affect agricultural actions.
Raised model performance by 20% through a comprehensive study of linearity, decomposition, and stationarity, ensuring robust, stable predictions and a more reliable predictive model.
Implemented and fine-tuned a Keras LSTM model, reducing Mean Absolute Error by 25%.
Skills: LSTM - RNN Networks Time Series Forecasting Deep Learning Tensorflow-Keras Data Science & AnalyticsPredictive Analytics
Remote | November 2021 – December 2021
Achievements:
Developed a 98% accurate Customer Analytics Model for Premium Enrollment Prediction.
Extracted actionable insights from 50k users’ records behavior data as descriptive Analytics.
Deployed and Delivered a user-friendly Streamlit App, that can enable a 50% reduction in time required for data processing, interpretation, and making future predictions on new-coming users.
Skills: Machine Learning streamlit Python Scikit-LearnData Science & AnalyticsPredictive Analytics
Algeria | July 2020 – November 2021
Contributed to the success of thousands of students by addressing their concerns and queries related to university majors and higher education choices. Through active community engagement, we fostered an environment of support and knowledge sharing.
Played a vital role in building awareness about the significance of early-age decision-making in higher education. Encouraged students to make informed choices that align with their passions and goals.
Authored informative articles and crafted visual content that resonated with our audience. Leveraged storytelling techniques to make complex topics accessible and engaging.
Skills: Storytelling Effective Digital Communication Community ManagementGraphic DesignContent Creation
Algeria | December 2019 – March 2020
Generated highly relevant and engaging content aligned with the company's core values and objectives.
Crafted content in three languages (Arabic, English, French) to cater to a diverse target audience, enhancing brand visibility and audience engagement.
Proudly represented OptiCharge at a national fair, showcasing the company's services. Engaged with potential customers, fostering valuable connections, and playing a pivotal role in promoting brand awareness and trust.
Skills: Communication & Public Speaking Storytelling Presentation Skills
SYLABS provided me with a rich learning experience, where I acquired valuable knowledge spanning Business, Marketing, Entrepreneurship, and Startups. This multidisciplinary exposure allowed me to gain insights into diverse aspects of the business world.
Conducted extensive research and analysis on the Algerian entrepreneurship ecosystem, mapping key players and startups.
Utilized WordPress to publish and manage website content, ensuring a user-friendly and visually appealing online presence.
Attended trainings organized by the company to enhance skills in content creation, digital marketing, and entrepreneurship.
Skills: Communication Business Acumen Entrepreneurship Acumen Wordpress - CMS
What is my Degree
University of Science & Technology Houari Boumediene - Algiers, Algeria
Relevant Courses:
- Supervised Learning - Unsupervised Learning - Generalized Linear Models
- Classification - Regression - Clustering - Dimensionality Reduction
- Data Analysis - Data Mining - Time Series Analysis and Forecasting
- Information Theory - Statistical Inference - Probabilistic Models - Simulation Modeling
University of Science & Technology Houari Boumediene - Algiers, Algeria
Relevant Courses:
- Algorithmic Problem Solving - Data Structures - C Programming
- Linear Algebra - Multivariate Analysis - Numerical Analysis
- Computer Architecture - Operating Systems -
How I Develop My skills
Issued by: Google Cloud (2023)
Skills: LLMs Prompt Tuning
Issued by: DeepLearning.AI (2021)
Skills: Tensorflow-Keras Computer VisionCNNs, RNNs, LSTMs Sequence Models Time Series & Forecasting NLP
Issued by: DeepLearning.AI (2023)
Skills: GANs Image-to-Image Translation WGANs - DCGANs Controllable Generation
Issued by: Datacamp (2021)
Skills: OOP Maintainability & Reproducibility Unit TestingDocumenting
Issued by: DeepLearning.AI (2022)
Skills: Data Pipelines Model Pipelines Project Scoping and Design
Issued by: IBM (2020)
Skills: Machine & Deep Learning Data Analysis & Visualization Data Science
Slides
What I recommend
All Rights Reserved @2023 Samia BELHADDAD