Professional Profile

• MSc Mathematics
• Post Grduate programme in Data Science
• Utilized Microsoft Excel to generate reports and graphs based on complex datasets.
• Analyzed data trends and created visualizations for management review.
• Collaborated with other departments to ensure data accuracy and integrity.
• Created visual representations of data with charts, graphs or infographics.
• Implemented visualizations and dashboards to help senior management make informed
• decisions.
• Designed and developed reports and analytics using modern data visualization tools.
• Evaluated large datasets to identify trends and develop actionable insights.
• Explained complex data sets in simple terms to non‑technical audiences.
• Leveraged statistical methods to analyze data.
• Used automated reports to help stakeholders understand complex data.
• Developing Power BI reports, dashboards, and data models to provide data insights to
• business users, ensuring alignment with organizational goals and objectives.
• Collaborating with business analysts and data engineers to identify data needs and develop
• ETL processes, facilitating seamless data integration and analysis.
• Gathering data from various sources, including databases, spreadsheets, APIs, and other
• data repositories
• Analyzing large datasets using statistical and data analysis techniques. Identify patterns,
• trends, and insights to help make informed business decisions.
• Monitoring data quality and integrity, troubleshoot data‑related issues, and propose
• solutions for improving data accuracy and efficiency.
• Creating various charts and custom visualizations using Power BI, optimizing the visual
• experience and performance for enhanced user engagement, and understanding.
• Implementing row‑level security for data privacy and protection, safeguarding sensitive
• information and adhering to industry best practices.
• Using data‑driven insights to support decision‑making processes and recommend
• improvements to business processes, products, or services.
• Designing, developing, and maintaining complex SQL queries and stored procedures,
• enabling efficient data retrieval and analysis for informed decision‑making.
• Working on projects for data insights, including financial reporting and operational
• performance tracking, contributing to the overall success of the organization.