AZAM KHAN

A Data Science aspirant with hands-on experience building, optimizing, and deploying machine learning models using Python and Flask. My background includes working across the complete ML lifecycle—from Eexploratory Data Analysis and feature engineering to model training, evaluation, and real-time deployment.

During my internship as a Machine Learning Engineer, I contributed to developing production-ready ML solutions, achieving measurable improvements in model accuracy, performance, and reliability. I have worked with structured and unstructured datasets, applied supervised and unsupervised learning techniques, and built scalable pipelines to convert raw data into actionable insights.

Alongside machine learning, I actively work on analytics and visualization projects using Power BI, SQL, and Python to support data-driven decision-making in business and financial domains. I enjoy solving real-world problems, collaborating with teams, and continuously learning new technologies.

I am currently seeking opportunities where I can grow as a Data Scientist or Graduate Engineer, contribute to impactful projects, and learn from experienced professionals in a collaborative environment.

📌 Core Interests:
Machine Learning • Data Analytics • Predictive Modeling • Business Intelligence • Real-Time ML Applications