Detail-oriented Data Analyst with a Master's in Computer Science, excelling in diverse data analysis aspects. Proficient in data cleaning, processing, and filtering using advanced methodologies. Skilled in visualizing in…
Detail-oriented Data Analyst with a Master's in Computer Science, excelling in diverse data analysis aspects. Proficient in data cleaning, processing, and filtering using advanced methodologies. Skilled in visualizing insights through Tableau and Power BI. A collaborative team player adapting swiftly to diverse environments. Dedicated to leveraging technical expertise for impactful, data-driven solutions.
Worked under the direction of 4 team members and 1 lead.
Participated in 11 weekly stand-ups to receive assignments and mentoring.
Integrated the dashboard with PostgreSQL for efficient data querying.
Utilized joins and GROUP BY SQL queries to ensure efficient data retrieval.
Created filters within dashboards, enabling users to interact with the data dynamically and decision making.
Developed Tableau dashboards to monitor KPIs.
Improved team track performance metrics by 20%.
Improved productivity by 10%.
Developed Tableau dashboards to support data exploration.
Increased data-driven decision making by 15%.
Conducted efficient dataset management.
Streamlined processes and comprehensive analysis of trending metrics.
Utilized Amazon S3 for scalability, data availability, security and performance benefits.
Securely managed access to AWS resources and services through AWS IAM.
Employed AWS Glue to simplify data integration, preparation, and consolidation for analytics and machine learning.
Achieved serverless code execution with AWS Lambda, eliminating server management overhead.
Implemented AWS Athena for interactive querying directly on data stored in Amazon S3.
Constructed a comprehensive dashboard using QuickSight to enhance business intelligence with machine learning.
Developed 85% custom Microsoft Power BI dashboards, visualizations, and interfaces with Microsoft SSRS to deliver meaningful and actionable insights.
Cleaned and transformed data using Power BI's Query Editor to prepare ETL processes.
Optimized reporting datasets.
Conducted data cleaning tasks using SQL queries, ensuring data accuracy, consistency, and readiness for analysis.
Employed SQL case statements to filter and transform data based on specific conditions.
Enhanced data quality and relevance.
Collaborated with a group of students at an advanced level in Math and Science.
Conducted subject tests and gathered data such as names, roll numbers, and grades across various subjects.
Employed Excel to meticulously clean and organize the collected data.
Utilized pivot tables to effectively display matrix values and enhance data visualization.
Demonstrated commitment to continuous learning by engaging with a diverse range of individuals, including students, to gain fresh insights and develop innovative solutions.
Exhibited strong decision-making skills under pressure.
Consistently delivered sound decisions across diverse scenarios.
Fostered smooth collaboration with fellow district staff members to ensure cohesive teamwork.
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