Satya Rellu

• Strong analytical skills with experience in conducting in-depth financial analysis, including full cost budgeting, modeling, forecasting, and accruals management.
• Ability to gather, analyze, and interpret financial data to provide actionable insights and support strategic decision-making and budgetary control.
• Ability to effectively communicate with stakeholders from various departments to understand their needs and requirements.
• Knowledge and experience in data visualization, including the ability to design visually appealing and effective dashboards and reports.
• Proficient in preparing financial reports, presentations, and ad-hoc analysis for executive leadership and other stakeholders.
• Ability to develop and maintain dynamic Power BI dashboards and reports.
• Experienced in SQL for data manipulation and analysis.

Covid Data Analysis: Analyzed COVID-19 trends using SQL queries to extract and manipulate data based on key performance

indicators (KPIs). Visualized insights with Power BI, facilitating informed decision-making on pandemic response strategies and

resource allocation.

Pneumonia Detection: Developed a machine-learning model to detect pneumonia from chest X-ray images. Utilized deep learning

techniques such as convolutional neural networks (CNNs) to achieve high accuracy in classifying X-ray images as either

pneumonia-positive or pneumonia-negative.

Olympic Data Analysis:

Conducted comprehensive data analysis to unearth pivotal performance trends and insights essential for strategic decision-making. 

Streamlined data ingestion procedures, employed Spark for data transformation, and crafted interactive Tableau dashboards to visually represent athlete performances and insights.