Junior Data Scientist and Machine Learning Developer

I am a Computer Science and Engineering graduate with hands-on experience in Python, machine learning, data analytics, and backend development. I enjoy building practical, end-to-end applications that transform data into useful predictions and user-focused solutions.

I have worked with supervised and unsupervised learning techniques, including classification, regression, clustering, dimensionality reduction, and recommendation systems. My machine learning toolkit includes Scikit-learn, XGBoost, NumPy, Pandas, and Matplotlib.

I have developed projects such as a recommendation system, a weather application with real-time API integration, and a data analytics platform with ML predictions and visualizations. These projects strengthened my skills in data preprocessing, exploratory analysis, model training, evaluation, and interactive reporting.

I also have backend development experience using Django, Django REST Framework, Flask, MySQL, REST APIs, authentication workflows, and database integration. I built a digital payment wallet application featuring OTP and email verification, transaction processing, wallet balances, and transaction history.

During my Android application development internship, I worked with Kotlin, Firebase, Room Database, REST APIs, and Generative AI features. I contributed to an application focused on smart job recommendations, real-time assistance, user interaction, and secure user-data management.

I am eager to begin my career in data science, machine learning, or Python development, where I can apply my analytical mindset, software engineering skills, and passion for solving real-world problems with AI-driven solutions.