Rishitha Kunduru Email & Phone Number

Memphis, Tn, Us

Tennessee, United States

· Collected and processed healthcare data from diverse sources such as government health databases, patient records, and internal APIs, ensuring data cleaning and organization using Google Sheets and Excel to maintain high data quality for analysis and reporting.· Analyzed patient demographics, claims, and service utilization patterns using Python (Pandas, NumPy) to uncover trends related to healthcare access, utilization, and outcomes across different regions and populations.· Created data visualizations and interactive dashboards using Tableau and ArcGIS, illustrating healthcare coverage and service distribution across regions, supporting decision-making for 5 healthcare resource allocation projects.· Collaborated with healthcare professionals, actuaries, and government agencies, leveraging SQL to query healthcare databases and communicate insights that inform data-driven strategies for population health management and risk assessments.· Documented analysis processes, methodologies, and key insights using Notion and Jira, ensuring transparent communication of findings to both technical teams and healthcare stakeholders, supporting the development of actionable healthcare recommendations.

* I have conducted extensive data analysis, manipulation, and visualization using SQL and Python to generate actionable insights across various projects. My experience includes executing complex SQL queries for accurate and timely data extraction from relational databases, significantly enhancing data analytics and reducing report generation time.*I have developed predictive models utilizing Scikit-Learn's machine learning tools, providing data-driven insights that inform decision-making. In inventory management, I leveraged Oracle to optimize demand forecasting, effectively reducing excess stock levels.*My expertise with Apache Hive enabled efficient querying of large Hadoop datasets. I applied machine learning algorithms to identify customer trends, facilitating data-driven strategies that enhanced retention and sales. Additionally, I crafted interactive dashboards in Tableau, visualizing key performance indicators (KPIs) that improved campaign effectiveness through targeted optimizations.*I have conducted A/B testing to assess different business strategies and optimized ETL processes for efficient data management. Employing the Waterfall methodology, I ensured systematic project completion, achieving a high on-time delivery rate while meeting industry standards.*My work includes implementing data warehousing solutions for managing large volumes of both structured and unstructured data. I utilized text mining techniques to extract insights and leveraged Apache Kafka for real-time data streaming, ensuring seamless data integration.*I maintained code integrity using Git for version control, promoting collaborative efficiency in projects. I enhanced data workflow by implementing AWS Lambda for automated processing, along with end-to-end solutions on AWS with S3 and EC2 for secure storage and computation.

• Leveraged Python and Pandas to conduct comprehensive data mining and cleansing operations, significantly improving data accuracy for critical business analyses across multiple departments.• Designed and executed complex SQL queries in MySQL databases, extracting and transforming millions of records monthly to generate actionable insights for strategic decision-making.• Developed and maintained 15+ interactive dashboards using Power BI, visualizing key performance indicators (KPIs) and trends, which increased data-driven decision-making among senior management.• Collaborated with cross-functional teams in an Agile environment, participating in sprint planning and daily stand-ups to align analytical goals with evolving business needs and deliver timely solutions.• Leveraged Apache Spark for large-scale data processing and real-time analytics, optimizing data workflows and significantly reducing data processing time, which enabled faster delivery of actionable insights and enhanced the overall efficiency of data operations.• Implemented version control best practices using GitHub, managing a large repository of over 50+ analytical scripts and ensuring seamless collaboration among the data team.• Utilized data storytelling techniques to create compelling narratives and visualizations with Power BI, effectively communicating complex data insights to non-technical stakeholders, which facilitated data-driven decision-making and strategic planning.• Conducted advanced statistical analyses and predictive modeling techniques, uncovering hidden patterns and correlations that resulted in notable reductions in customer churn and increases in cross-selling opportunities.• Optimized data collection processes by automating report generation using Python and MS Excel macros, substantially reducing manual data entry and improving the overall efficiency of the analytics workflow.

Master'S Degree, Data Science

Bachelor Of Technology, Electronics And Communications Engineering