I am a passionate and dedicated tutor with a strong foundation in Python programming and a solid understanding of Machine Learning concepts. I hold a degree in Mechanical Engineering, during which I transitioned into the software field through continuous learning and hands-on projects. My academic journey and personal interest in data science have enabled me to bridge the gap between theory and real-world applications effectively.

Over the past year, I have completed multiple certified courses in Python and Machine Learning, including hands-on projects involving:

Data preprocessing and visualization

Implementation of supervised and unsupervised learning algorithms (e.g., Linear Regression, Decision Trees, K-Means)

Model evaluation using accuracy, precision, recall, F1-score

Use of libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and Seaborn

In addition to academic learning, I have also provided peer tutoring for Python basics and ML concepts, helping students understand difficult topics through simplified explanations, real-life analogies, and coding practice. My strength lies in breaking down complex algorithms into digestible parts and guiding learners from foundational programming to deploying ML models.

I am enthusiastic about teaching and aim to make learning engaging and approachable for students from diverse backgrounds. My goal as a tutor is to empower learners with practical skills and the confidence to build and apply machine learning models independently.