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Data Analyst with 4+ years in Power BI & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in Data Visualization, Reporting, Dashboarding, Insight analysis with hands on experience in Power BI, SQL, Excel, Tableau. Honing strong analytical skills, decision-making, problem solving abilities with learning mindset and proactive approach.
Vaagdevi Institute of Technology & Science
B. Tech · Electronics and Communication Engineering
June 1, 2018 – August 1, 2021
Atos Syntel
Senior Associate
March 1, 2022 – Present
Chennai, Tamil Nadu, India
Enterprise Data Platform
March 1, 2022 – June 1, 2026
The Enterprise Data Platform project focused on enhancing data quality, integration, and analytics capabilities for healthcare, empowering stakeholders to make data-driven business and patient care decisions. The initiative centralized data from multiple systems into a unified repository, enabling advanced reporting, AI enrichment, and business intelligence. Tools used: Power BI desktop, Power BI service, Power query, DAX functions, SQL, MS Excel, Azure Devops, Git. Migrated existing Tableau reports to Power BI, ensuring consistency in business logic, KPIs, and data accuracy. Developed mock-ups and interactive prototypes for business requirements, obtained stakeholder approvals, and transitioned them into fully functional Power BI solutions. Implemented a robust Power BI environment, applied Row-Level Security (RLS), developed efficient data models, ETL processes (Power Query), and data cleansing routines achieving a 40% reduction in manual data handling. Built and deployed interactive dashboards and reports, improving data accessibility by 30% and enhancing stakeholder decision-making efficiency. Applied advanced statistical and analytical methods to transform raw datasets, increasing business decision accuracy by 20%. Defined and tracked KPIs and created custom DAX measures, driving a 20% revenue increase and reducing churn rates by 15%. Collaborated with cross-functional teams and ETL specialists, improving data accuracy by 20%, reducing data retrieval time by 30%, and accelerating project delivery timelines. Developed and optimized complex SQL queries, enhancing data retrieval speed and ensuring timely, accurate business reporting. Conducted performance tuning and model optimization in Power BI, reducing report load times by 30-40% for a smoother user experience. Managed Power BI dataset refresh schedules and resolved refresh failures, and supported production deployments to ensure reliable and up-to-date reporting. Managed code versioning and deployments via Azure Repos and coordinated QA and production releases for Power BI solutions.
Power BI Data Analyst Associate (PL300)
Microsoft
June 1, 2026 – Present
Azure Fundamentals (AZ900)
Microsoft
June 1, 2026 – Present
Azure Data Engineer (DP203)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in a professional setting, involvement in a significant enterprise project, and certifications suggest a commitment to continuous learning and professional development. The project's focus on healthcare data and empowering stakeholders indicates an understanding of impact and value delivery. The breadth of skills (Power BI, SQL, Azure, Excel, Tableau) and the role as a 'bridge' between business and technical teams suggest a collaborative and versatile mindset, fitting well into a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, decision-making abilities, and a proactive approach. Experience in collaborating with cross-functional teams and acting as a bridge between business and technical teams indicates good communication and teamwork. Participation in Agile processes suggests adaptability and an understanding of modern development workflows. The project description highlights problem-solving in data quality and integration, which aligns well with operational demands.