Aspiring Data Analyst with hands-on experience conducting data analysis to extract actionable insights and drive data-informed decision-making. Proficient in tools such as Excel, SQL, and Python for data cleaning, visual…
Aspiring Data Analyst with hands-on experience conducting data analysis to extract actionable insights and drive data-informed decision-making. Proficient in tools such as Excel, SQL, and Python for data cleaning, visualization, and reporting. Adept at identifying trends and patterns in complex datasets to support business strategy. Strong analytical mindset combined with excellent communication skills to present findings clearly to both technical and non-technical stakeholders. Passionate about leveraging data to solve real-world problems and continuously expanding expertise in analytics and business intelligence.
Cleaned, validated, and analyzed datasets containing 100,000+ records using SQL and Excel.
Ensured data accuracy, completeness, and integrity through rigorous quality assurance processes.
Improved reporting reliability by 75%.
Conducted exploratory data analysis and statistical analysis to uncover patterns and trends in business data.
Reduced processing time from 120 minutes to 30 minutes.
Developed analytical reports and interactive dashboards to monitor key business metrics.
Communicated findings and insights through compelling data visualizations and narratives to stakeholders.
Cleaned, validated, and analyzed datasets containing 100,000+ records using SQL and Excel, ensuring data accuracy, completeness, and integrity through rigorous quality assurance processes, improving reporting reliability by 75%., Conducted exploratory data analysis and statistical analysis to uncover patterns and trends in business data, reducing processing time from 120 minutes to 30 minutes., Developed analytical reports and interactive dashboards to monitor key business metrics, communicating findings and insights through compelling data visualizations and narratives to stakeholders.
Performed Exploratory Data Analysis (EDA) on Diwali sales data using Python (Pandas, NumPy, Matplotlib, Seaborn) in Jupyter Notebook to identify customer buying patterns, top-performing products, and regional sales trends.
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