
M. Zain Khan
Data Scientist and Python Developer
Kompetenzen

Meine Dienstleistungen


Portfolio
Arbeitserfahrung
Machine Learning Engineer Internship - FlyrankAI
Flyrank AI • Teilzeit
Jun 2026 - Sep 2026 • 3 mos
Completed a **Machine Learning Engineering Internship at FlyRank AI** from **July 2026 to September 2026**. During the internship, I gained practical experience in: • Machine Learning & AI concepts • Machine Learning problem framing • Data analysis and working with datasets • Search Intelligence and data-related tasks • AI Fluency and practical AI applications • Technical documentation and data contracts • Python-based machine learning workflows Throughout the internship, I worked on multiple **assignments, capstone projects, and practical tasks**. I also completed **General AI Fluency assignments** and participated in learning activities and online events. As part of the learning journey, I also completed courses from **Anthropic Academy**, including Claude 101, Introduction to Claude Cowork, and AI Fluency Framework and Foundation. This internship helped me gain practical exposure to **machine learning engineering workflows, AI applications, data-related problem solving, and working on structured technical tasks in a professional environment.**
Artificial Intelligence & Data Science 14 Month Diploma
Saylani Mass IT Training • Teilzeit
Jun 2025 - Aug 2026 • 1 yr 2 mos
Completed an AI & Data Science course at **Saylani Mass I.T. Training (S.M.I.T)** from **July 2025 to September 2026**. During the course, I developed practical knowledge and hands-on experience in: • Python Programming • Data Analysis & Data Science • Data Cleaning, Preprocessing & EDA • Data Visualization & Statistical Analysis • Machine Learning • Deep Learning • ANN, CNN & RNN • FastAPI & Streamlit Throughout the course, I worked on multiple **projects and assignments** to apply the concepts in practical scenarios. I also participated in **coding nights, hackathons, and other technical activities**, which helped me improve my problem-solving and practical development skills. The course provided me with a strong foundation in working with data, building machine learning models, creating data-driven applications, and applying Python-based tools to real-world problems.