Hello, It's Me
Ayman Haseeb
And I'm a Machine Learning Enthusiast.
Passionate about the future of learning technology, I'm on a journey to merge machine learning with education, one algorithm at a time.
Download CV
Passionate about the future of learning technology, I'm on a journey to merge machine learning with education, one algorithm at a time.
Download CV
Hi, I'm Ayman Haseeb, a machine learning enthusiast with a passion for front-end development. I hold the AI-900 certification badge from Microsoft and have experience in machine learning and deep learning. In addition to my internships, I've completed several courses and industrial training programs, further fueling my expertise.
Skills
Experience
Education
I excel in Python, C, and C++ with a focus on data structures and algorithms. I've earned multiple badges and certifications on platforms like HackerRank and LeetCode, demonstrating my strong problem-solving skills. I'm experienced in implementing a range of data structures and am adept at optimizing code for improved efficiency.
I have a solid grasp of front-end web development, with a wealth of expertise in HTML, CSS, and JavaScript. My proficiency extends to creating responsive and user-friendly web interfaces that not only look visually appealing but also offer seamless and intuitive user experiences. I take pride in staying up to date with the latest web development trends and technologies to ensure that the websites I create are modern, accessible, and engaging."
I possess a strong foundation in machine learning concepts and practical expertise in developing predictive models. My experience spans various AI/ML domains, including supervised learning, unsupervised learning, and Exploratory Data Analysis. I'm committed to continuous learning, staying at the forefront of this dynamic field, and I'm well-prepared to tackle AI/ML challenges and opportunities.
A Python project utilizing an API for real-time currency conversion. Convert, check exchange rates, and list currencies with a user-friendly command-line interface.
This Python Jupyter notebook project conducts an in-depth Exploratory Data Analysis on global terror attacks. It explores patterns, trends, and insights from the data, shedding light on the dynamics of terrorism worldwide.
A supervised machine learning model is employed to analyze and predict student performance. By examining various factors, it provides valuable insights and predictions to help enhance educational outcomes.
This Python project is designed to find the shortest path through a maze. Using algorithmic techniques, it navigates mazes and calculates the most efficient route, making it a handy tool for solving maze-based puzzles and pathfinding challenges.
This HTML, CSS, and JavaScript project showcases a variety of suede sneakers for sneaker enthusiasts. Browse, view details, and easily make selections in this visually appealing online store, designed for sneaker lovers.
This Python Jupyter notebook project features an Iris flower classifier trained using unsupervised machine learning algorithms. It effectively categorizes Iris flowers based on their features, serving as a practical tool for species classification and data exploration.
aymanhaseeb8121@gmail.com
884-809-7684