Spurthy Ramappa

About Spurthy Ramappa

Spurthy Ramappa | Data Analyst Location: KS | Email: s••••••••@gmail.comI am Spurthy Ramappa, an accomplished Data Analyst with nearly 3 years of experience, specializing in Python, SQL, AWS, Power BI, Tableau, and Agile methodologies. Throughout my career, I have consistently delivered impactful insights by leveraging advanced technical skills to drive data-driven decision-making and optimize business processes.My expertise includes proficient use of Python libraries such as NumPy and Pandas for data manipulation and analysis, complemented by strong database management skills with MySQL, MongoDB, AWS RDS, and RedShift. I am adept at deploying and managing AWS services including IAM, EC2, S3, and Cloud Watch to ensure efficient data storage and retrieval.I excel in creating compelling visualizations using Power BI, Tableau, and MS Excel, effectively communicating complex findings to diverse stakeholders. With a rigorous approach to project management, I apply Agile and Waterfall methodologies to drive project efficiency and successful outcomes.I possess hands-on experience with big data tools such as Hadoop, Hive, Apache Spark, and Snowflake, facilitating large-scale data processing and storage solutions. Proficient in Git and GitHub, I maintain rigorous version control and foster collaborative project management across teams.Currently pursuing a Master of Science in Computer Science at the University of Central Missouri, I am deeply passionate about harnessing data to drive innovation and strategic growth. Let\'s connect to explore how my skills and expertise can contribute to your organization\'s success.

Experience

1. Business Analytics Consultant

   PNC

   Mar 2025 — Present · KS, US

   Leveraged SQL, Tableau, and Power BI to design scalable analytics solutions supporting Financial Intelligence Unit (FIU) risk monitoring and investigative operations.• Developed interactive Tableau dashboards to support alert review and case creation workflows, improving visibility into key risk indicators and investigative prioritization.• Analyzed and transformed large, complex datasets to build analytical models, reusable reporting frameworks, and automated dashboards that enhanced reporting efficiency and data accessibility.• Demonstrated leadership and technical proficiency by optimizing the Consortium file creation process using Python, ensuring accuracy, scalability, and operational efficiency.• Automated recurring reporting processes by developing data pipelines and report generation workflows, delivering timely weekly reports to investigators and improving operational efficiency.• Defined and implemented performance measures, including efficiency tracking, trend analysis, and statistical evaluation techniques to strengthen monitoring and decision-making processes.• Produced detailed, actionable reports translating analytical findings into business insights for cross-functional stakeholders.• Authored business and technical requirements documentation to ensure alignment between analytics development, IT implementation, and enterprise objectives.• Served as the team’s Spark subject matter expert, providing technical guidance and promoting best practices in distributed data processing and analytics.• Partnered with FIU and enterprise stakeholders to support adoption of advanced business intelligence tools and scalable data solutions.

Education

• Acharya

  Bachelor of Engineering, Computer Engineering

• University of Central Missouri

  Master's degree, Computer Science