Diya Gurjar

I’m a Computer Science graduate focused on data engineering and analytics, with hands-on experience in “Python-based data analysis, SQL, and exploratory analytics.” I value enterprise-style workflows, strong data modeling, and turning business requirements into analytical insights.

In projects like “Netflix Data Analysis,” I performed exploratory data analysis on movies and TV shows, using Python (Pandas, NumPy) to clean and transform real-world data and generate visual insights with Matplotlib and Seaborn. I’m comfortable building reproducible analysis and documenting findings so stakeholders can trust and repeat the work.

As a “Data Engineer | Claroda,” I developed a Streamlit-based web application to monitor and visualize engagement metrics, and built and maintained data pipelines to collect, clean, and process raw data from multiple sources. I also designed interactive dashboards to track key engagement indicators, applied best practices to structure and optimize datasets for better performance and query efficiency, and collaborated to gather requirements and deliver features within the internship timeline.