Sravani Mahankali

As a Business Intelligence Analyst, I worked on insurance datasets, mapping insurances to payers using machine learning algorithms in Python and R. I standardized data for Master Data Management and created dashboards for various users, collaborating with team members and leadership on data governance.

During my internship, I performed data cleaning and transformation on healthcare datasets, conducted statistical analysis, and predictive modeling to assess the impact of Covid on healthcare payments.

As a Teaching Assistant, I supported students by clarifying doubts and assisted professors in grading projects and assignments, enhancing the learning experience in health data science.

In this role, I analyzed business data using Python and SQL, performed exploratory data analysis, and created reports and dashboards in Tableau, collaborating with the team to enhance data-driven decision-making.

As a Summer Research Trainee, I conducted molecular docking analysis using bioinformatics tools, collaborating with peers to explore anticancer properties of natural compounds.

As a Clinical Data Analyst, I analyzed clinical data using Python, built machine learning algorithms, and presented findings through data visualizations and reports, contributing to clinical research efforts.

In this internship, I performed data summarization and visualization using SPSS, analyzing treatment costs and providing insights through descriptive statistics.