Prasanth Kumar Email & Phone Number

United States

Indiana, United States

• Developed real-time data pipelines using Apache Kafka and Apache Spark to process and analyze healthcare data, delivering actionable insights to support decision-making and operational efficiency.
• Implemented ETL workflows with AWS Glue to automate data ingestion and transformation, enabling high-quality reporting and ensuring timely data availability for compliance and analysis purposes.
• Analyzed large datasets using SQL and Python to identify trends and insights, improving data-driven decision-making processes across departments.
• Synthesized findings from EDA and A/B testing into presentations and reports for executive teams, driving strategic decision-making
• Implemented machine learning models using Python packages like Scikit-learn to predict patient outcomes and inform strategic initiatives.
• Designed interactive dashboards and visualizations in Tableau to communicate findings, enhancing stakeholder understanding and enabling strategic planning.

Indianapolis, Indiana, United States

• Analyzed transaction data related to card usage, including dining, door access, and financial activities, using SQL and Python (Pandas) to identify trends, peak usage times, and seasonal variations, providing.
• Produced and issued official photo ID cards (CrimsonCard) to students, employees, and affiliates, handling identity verification, eligibility confirmation, and payment processing, while ensuring accuracy and compliance.
• Developed interactive dashboards and visualizations in Tableau and Power BI, delivering real-time insights on CrimsonCard metrics, such as user engagement, transaction volumes, and revenue, aiding strategic.
• Conducted data cleaning and preprocessing using Python (Pandas), ensuring high-quality, accurate data for reporting and analysis, which improved the reliability of financial and operational insights.
• Provided extensive customer service support via walk-in, email, and phone for card issuance, financial activity, and access issues, utilizing data analysis to identify common issues, streamline support processes, and.
• Generated periodic KPI reports using advanced Excel techniques (Pivot Tables, VLOOKUP, Macros), highlighting trends in card usage, user activity, and financial performance, supporting operational planning and.

Bengaluru, Karnataka, India

• Analyzed and processed large, complex datasets using SQL and Python (Pandas, NumPy), delivering actionable business insights that informed strategic decision-making for internal stakeholders, resulting in a 20%.
• Designed, developed, and maintained interactive Power BI dashboards, enhancing reporting accuracy by 30% and providing clear visual insights for tracking key performance indicators (KPIs) and overall business.
• Employed robust data cleaning and data wrangling techniques using Python (Pandas, NumPy), including data profiling and anomaly detection, achieving a 99% data accuracy rate across millions of data points.
• Assisted in developing and maintaining automated data pipelines with Apache Airflow, optimizing data collection and transformation processes, and reducing data latency by 40%.
• Streamlined ETL processes by automating data extraction, transformation, and loading using SQL and Python, improving data availability and reducing manual effort, leading to a 50% increase in the speed of data delivery.
• Leveraged Azure Databricks for scalable data processing and advanced analytics, including predictive modeling and forecasting, supporting the development of insights that improved decision-making.

India

· Developed data visualizations using Tableau, providing critical insights for clients in the retail sector and enhancing their decision-making processes.· Conducted data cleaning and data transformation using SQL and Pandas, ensuring high-quality data was available for analysis.· Assisted in generating real-time analytics using Apache Spark, ensuring data.

Kerala, India

· Published three research papers, including two at IEEE international conferences and one in the International Research Journal of Engineering and Technology (IRJET), focusing on data science applications in machine learning, optimization, and signal analysis.· Utilized R to develop predictive models for credit card fraud detection, leveraging machine.

Master'S Degree, Computational Data Science

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering