Detail-oriented Business Analyst with 3 years of experience in data analysis, process mapping, and stakeholder management. Proficient in SQL, Excel, Python, and Agile methodologies, delivering insights to drive strategic…
Detail-oriented Business Analyst with 3 years of experience in data analysis, process mapping, and stakeholder management. Proficient in SQL, Excel, Python, and Agile methodologies, delivering insights to drive strategic decisions. Proven track record of collaborating with cross-functional teams to optimize efficiency and meet business objectives.
Detail-oriented Business Analyst with 3 years of experience in data analysis, process mapping, and stakeholder
management. Proficient in SQL, Excel, Python, and Agile methodologies, delivering insights to drive strategic
decisions. Proven track record of collaborating with cross-functional teams to optimize efficiency and meet business
objectives.
Managed the project lifecycle using Agile methodologies.
Developed user stories.
Conducted gap analysis with SWOT.
Utilized UML for use case modeling.
Created and articulated BRDs and FRDs to capture business needs and detailed specifications.
Pioneered global team collaborations to enhance operational excellence.
Established robust communication channels with internal and external stakeholders, ensuring strategic alignment.
Implemented Agile methodology using Jira to automate WBR.
Enhanced accuracy with Excel, SQL, ETL, and Amazon Redshift.
Provided daily insights using Power BI.
Optimized efficiency and reduced manual work by 85%.
Increased productivity by 78%.
Conducted worldwide analysis using real-time ETL, Tableau, Excel and SQL to optimize the supply chain.
Resulted in a 45% productivity increase.
Improved inventory management, supplier relationships, and distribution networks.
Led to a 20% reduction in errors and a 30% increase in data accuracy.
Designed and implemented an automated ETL pipeline using SQL to seamlessly integrate and migrate data from AWS S3 to AWS Redshift.
Enabled real-time data processing.
Resulted in comprehensive data integration and the creation of automated, insightful dashboards and reports.
Developed a Python-based tool for sentiment analysis to identify safety risks in customer feedback.
Found that 52% of comments were positive, with only 0.054% indicating safety risks.
Improved task productivity by 208%.
Saved 5 FTEs.
Eliminated 51.97% of workflow inflow.
Covered a million products with 99.9% accuracy.
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