A Power BI and SQL-focused Data Analyst with 2+ years of experience in data cleaning, dashboard creation, and automation. Proven expertise in streamlining reporting processes and improving data quality for large-scale enterprise systems.
I am a passionate Data Analyst with a strong foundation in SQL, Power BI, and Excel-based automation. With over 2 years of industry experience, I specialize in transforming large datasets into meaningful business insights and simplifying complex reporting workflows.
My goal is to drive better decision-making by building clear dashboards, automating data pipelines, and ensuring end-to-end data quality. I stay continuously up-to-date with analytics trends and bring an agile mindset to every project I lead. My work has helped reduce reporting errors by 22% and cut manual processes by 40%.
To empower organizations by transforming raw data into interactive dashboards and actionable KPIs that boost productivity and clarity.
To leverage SQL, Power BI, and automation to solve reporting bottlenecks, ensure reliable data operations, and deliver meaningful insights.
Creating SQL-powered reports and Power BI dashboards to automate manual reporting and reduce effort by up to 40%, ensuring timely and accurate insights.
Led successful migration of 500K+ rows from legacy systems to Snowflake using Excel VBA and Informatica, optimizing access and long-term scalability.
Developed real-time dashboards in Power BI and Excel to track KPIs, sales forecasts, and data quality metrics across multiple departments.
Skilled in data analysis, statistical modeling, SQL, Python, and data visualization with a strong focus on turning raw data into actionable insights.
Led database migration and reporting automation at Cognizant by engineering 70+ SQL scripts and automating record profiling, improving schema accuracy by 25%. Created Excel-based reports to track ingestion quality, reducing manual effort by 40%. Drafted 100+ L3 incident summaries, enhancing triage accuracy by 15%. Resolved anomalies across 12+ pipelines and reduced rollback by 20%. Validated schema integrity and executed audits that cut downstream errors by 22%. Coordinated cross-functional requirements across teams, improving traceability and reducing rework during testing by 35%.
Experienced in data analysis, machine learning, and problem-solving with a proven ability to deliver actionable insights that drive informed business decisions.
Dedicated to continuous growth through academic excellence in data analytics, business analysis, and computer applications.
Developed scalable analytics pipelines and automation frameworks to deliver trusted insights and streamline operations across domains.