Hello! I'm Muhammad Abdul Saboor, a dedicated data scientist with a strong foundation in software engineering and over 2.5 years of experience in machine learning. I graduated with a BS in Software Engineering, equipping me with the technical knowledge and problem-solving skills necessary to excel in this field.

My academic journey has been enriched with extensive coursework and practical exposure to various aspects of data science, machine learning, and deep learning. I have developed a deep understanding of the theoretical principles and their practical applications in real-world scenarios.

Skills and Expertise:

Machine Learning: Supervised and unsupervised learning, model evaluation, feature engineering, Scikit-learn, XGBoost, LightGBM.

Data Analysis: Exploratory Data Analysis (EDA), Pandas, NumPy, Matplotlib, Seaborn.

Programming: Python, R, SQL.

Tools: Jupyter, Git, AWS, Google Cloud.

Technical Skills:

Proficient in using libraries and tools such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib, and Seaborn for data visualization.

Skilled in cloud platforms like AWS and Google Cloud for deploying machine learning models and managing big data.

Experienced in software development practices including version control with Git and containerization with Docker.

Soft Skills:

Strong communication skills, enabling me to convey complex technical concepts to both technical and non-technical stakeholders effectively.

Excellent problem-solving abilities, with a knack for developing innovative solutions to challenging problems.

Ability to work collaboratively in team environments as well as independently, ensuring timely and efficient project delivery.

With a blend of deep technical expertise and practical experience, I am passionate about leveraging data science to drive impactful results. My academic background has provided me with the skills and knowledge to contribute effectively to any data science team.