Akshitha Elukapalli

I’m a results-driven Data Analyst with hands-on experience turning raw data into actionable business insights. I work across data cleaning, exploratory data analysis (EDA), reporting, and dashboard development to help teams spot trends and support better decisions.

Currently, I work as a Data Annotation Associate at Nvidia Graphics Private Limited (Remote), executing high-accuracy video annotation and labeling for AI/ML model training datasets. I also support machine learning teams with structured datasets to improve model performance and accuracy.

In my projects, I analyzed Uber demand-supply patterns to uncover peak demand hours, cancellation behavior, and supply-demand gaps. I used Python, Pandas, SQL, and Excel to clean and preprocess data and generate time-based operational and booking insights, including SQL-driven findings on no-car availability and pickup performance.

I also built an EV Cars Sales Dashboard using Power BI, SQL, and Excel to track electric vehicle trends with KPI-driven regional and model-wise reporting. I enjoy integrating and transforming large datasets with SQL and visualizing results in interactive dashboards that make insights easy to act on. I hold a B.Tech in Electronics & Communication Engineering and a Data Analytics & Business Intelligence certification from AVA Technology.