Khazra Hussain
Vaudreuil-Dorion,QC
Summary
- Passionate about developing ethical AI solutions, particularly in healthcare, to drive meaningful impact.
- Motivated and detail-oriented student eager to apply academic knowledge to real-world experiences in artificial intelligence.
- Equipped with strong analytical skills, creativity in problem-solving, and a collaborative mindset.
Overview
3
3
years of professional experience
Work History
Educator
Precious Cargo
Vaudreuil-Dorion, Quebec
05.2023 - Current
- Conveyed and utilized strong communication and interpersonal skills to establish positive rapport with students, parents and fellow educators.
- Identified early signs of emotional and developmental problems in children to bring concerns to parents' attention.
- Made special accommodations to integrate students with ADD, ADHD and other learning disabilities.
Cosmetics Sales Associate
Familiprix
Vaudreuil-Dorion, Quebec
01.2022 - 04.2022
- Assisted in creating promotional materials for new products.
- Maintained knowledge of sales and promotions, return policies and security practices.
- Collaborated with colleagues on sales strategies to maximize profits.
Education
AEC - Artificial Intelligence And Machine Learning
Lasalle College
Montreal, QC08-2025
Some College (No Degree) - Social Sciences With Maths
John Abbott College
Sainte-Anne-de-Bellevue, QCSkills
- Programming Languages: Python (proficient), JavaScript (basic)
- Machine Learning: Multi-layer perceptrons (MLP), neural network fundamentals, and supervised learning
- Data Analysis: Data collection, cleaning, and processing with Python libraries (NumPy, Pandas)
- AI Concepts: Gradient descent, optimization techniques, and basic neural architectures
- Adaptability: A quick learner of frameworks like TensorFlow, PyTorch, and Scikit-learn
- Soft skills: Effective communication, teamwork, time management, and problem-solving
Language
- Fluent and proficient in the following languages in writing,oral and reading: English, French and Urdu
Projects
Projects
Heart Disease Prediction Using Machine Learning
- Developed a machine learning model to predict the likelihood of heart disease at early stages using patient data.
- Implemented algorithms including Logistic Regression, Random Forest, and Support Vector Machines (SVM).
- Performed data preprocessing, feature selection, and evaluation using metrics like accuracy and ROC-AUC.
- Achieved a predictive accuracy of 96% (if you have any metrics/results to share).
- Used Python with libraries such as Pandas, Scikit-learn, and Matplotlib for data analysis and visualization.
Timeline
Educator
Precious Cargo
05.2023 - Current
Cosmetics Sales Associate
Familiprix
01.2022 - 04.2022
AEC - Artificial Intelligence And Machine Learning
Lasalle College
Some College (No Degree) - Social Sciences With Maths
John Abbott College
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