Radhika User

I’m an Information Technology graduate with a strong interest in data, machine learning, and software-driven problem solving. I enjoy understanding how systems work, analyzing data to uncover meaningful patterns, and building practical solutions rather than working only on theoretical problems.

My technical experience includes Python, SQL, Pandas, NumPy, scikit-learn, TensorFlow/Keras, Tableau, Excel, and web technologies. I have worked on projects across data analytics, machine learning, and full-stack development. Some of my projects include analyzing British Airways passenger reviews to identify the service factors most strongly associated with customer recommendations, building a SQL/Python-based Walmart sales analysis pipeline, developing machine-learning models for kidney disease detection, and working on deepfake detection using video-based ML techniques.

I’m particularly interested in opportunities where I can work with real-world data, solve business or technical problems, learn from experienced teams, and take ownership of projects. I’m open to Data Analyst, Data Scientist, Machine Learning/AI, and GenAI-related roles, especially at companies where I can combine analytical thinking with technical skills.

Long term, I want to grow into someone who can not only build strong technical solutions but also understand the larger problem, make sound decisions, and eventually take ownership and leadership of projects.