Learn Data Skills
Beta
Aya Belaidi

Aya Belaidi

Data Scientist

National school of biotechnology Constantine

Technologies

My Portfolio Highlights

My New Github

GitHub - youcine/ML_and_DL_applications_in_health: Projects I was part of during my course in the "NATIONAL CENTER OF BIOTECHNOLOGY RESEARCH " Machine Learning and Deep Learning in Health 1- Regression | Drug Design 2- Classification of tumors type based on gene expression with deployment (Bagging and RF) 3- My evaluation project classification of brain tumors using CNN ,ANN, RF and oneVSone classi

My New Github

GitHub - youcine/My_Graduation_Project: Employed advanced machine learning techniques such as Random Forest, Gradient Boosting Trees, and Multilayer Perceptron models to precisely forecast the adsorption efficiency of amoxicillin onto activated carbon, achieving impressive accuracy rates of 89% to 96%.

My New Github

GitHub - youcine/ML_and_DL_applications_in_health: Projects I was part of during my course in the "NATIONAL CENTER OF BIOTECHNOLOGY RESEARCH " Machine Learning and Deep Learning in Health 1- Regression | Drug Design 2- Classification of tumors type based on gene expression with deployment (Bagging and RF) 3- My evaluation project classification of brain tumors using CNN ,ANN, RF and oneVSone classi

Statistical wizard, casting spells of significance on data experiments.

My Work

Take a look at my latest work.

github

GitHub - youcine/ML_and_DL_applications_in_health: Projects I was part of during my course in the "NATIONAL CENTER OF BIOTECHNOLOGY RESEARCH " Machine Learning and Deep Learning in Health 1- Regression | Drug Design 2- Classification of tumors type based on gene expression with deployment (Bagging and RF) 3- My evaluation project classification of brain tumors using CNN ,ANN, RF and oneVSone classi

github

GitHub - youcine/My_Graduation_Project: Employed advanced machine learning techniques such as Random Forest, Gradient Boosting Trees, and Multilayer Perceptron models to precisely forecast the adsorption efficiency of amoxicillin onto activated carbon, achieving impressive accuracy rates of 89% to 96%.

github

GitHub - youcine/Auto_Insurance-1: A 15-week project during my internship with the ATC Innovatics Center for Data Science and AI working at an auto insurance company facing a fraud challenge.

Python
github

GitHub - youcine/Prodigy_infoTech_internship

Python
github

GitHub - youcine/ML_and_DL_applications_in_health: Projects I was part of during my course in the "NATIONAL CENTER OF BIOTECHNOLOGY RESEARCH " Machine Learning and Deep Learning in Health 1- Regression | Drug Design 2- Classification of tumors type based on gene expression with deployment (Bagging and RF) 3- My evaluation project classification of brain tumors using CNN ,ANN, RF and oneVSone classi

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to SQL
Intermediate SQL
Joining Data in SQL
Understanding Cloud Computing

My Work Experience

Where I've interned and worked during my career.

Prodigy InfoTech | Dec 2023 - Jan 2024

DATA SCIENCE INTERN

• Implemented data visualization techniques using Python and libraries (Pandas, Matplotlib, Seaborn...) to create insightful visual representations of demographic distributions and sentiment patterns in social media data. • Applied machine learning algorithms, including decision tree classifiers, for predictive analysis tasks such as customer purchase prediction
Show More

Higher National School of Biotechnology –Toufik Kheznadar | Jan 2023 - Jul 2023

RESEARCH ASSISTANT IN MACHINE LEARNING PROJECT

Leveraged advanced machine learning techniques, including RF, GBT, and Multilayer Perceptron models, to accurately predict the adsorption efficiency of amoxicillin onto activated carbon, validating the models' ability to capture complex data relationships in the lab with identical conditions. • Demonstrated proficiency in Python, TensorFlow, and machine learning methodologies to optimize the performance and accuracy of algorithms, achieving 89% and 96% accuracy. • Effectively managed data processing and model training tasks, ensuring streamlined project workflows and enhanced outcomes in pharmaceutical waste removal research.

My Education

Take a look at my formal education

master's degree in BiotechnologyHigher National School of Biotechnology - Constantine | 2023

About Me

Aya Belaidi

#open for remote internship and entry level data scientist and machine learning engineer Passionate about leveraging data-driven insights to catalyze positive change. With a strong foundation in biotechnology engineering.

Powered by

  • Work
  • Courses
  • Experience
  • Education
  • About Me
  • Create Your Data Portfolio for Free