Strategic Senior Data Analyst with 5+ years of experience at Amazon, specializing in ML Data Operations, large-scale ETL automation, and KPI-driven business intelligence. Expert in leveraging the AWS ecosystem (Athena, S…
Strategic Senior Data Analyst with 5+ years of experience at Amazon, specializing in ML Data Operations, large-scale ETL automation, and KPI-driven business intelligence. Expert in leveraging the AWS ecosystem (Athena, S3, Glue) and SQL/Python to transform complex datasets into actionable executive insights. Proven track record in reducing manual operational overhead by 40% and enhancing data reliability by 30%. Combines technical engineering expertise with an MBA in Systems to drive scalable data solutions in high-growth environments.
Engineered end-to-end automated reporting pipelines using SQL, Python, and AWS Athena, reducing manual reporting workload by 40% while ensuring 100% data integrity for global stakeholders.
Designed and optimized interactive QuickSight and Tableau dashboards, improving KPI visibility and reporting accuracy by 25% for senior leadership teams.
Led deep-dive analytical investigations and Root Cause Analysis (RCA) initiatives to identify data quality gaps, resulting in a 30% improvement in dataset reliability for ML models.
Streamlined extraction and transformation processes using AWS Glue, reducing data processing cycle times by 20% and improving system scalability.
Partnered with Product, Ops Excellence, and Engineering teams to translate business requirements into technical SOPs and actionable workflow improvements.
Conducted technical training sessions for junior analysts on SQL optimization and automated dashboard design.
Engineered end-to-end automated reporting pipelines using SQL, Python, and AWS Athena, reducing manual reporting workload by 40% while ensuring 100% data integrity for global stakeholders., Designed and optimized interactive QuickSight and Tableau dashboards, improving KPI visibility and reporting accuracy by 25% for senior leadership teams., Led deep-dive analytical investigations and Root Cause Analysis (RCA) initiatives to identify data quality gaps, resulting in a 30% improvement in dataset reliability for ML models., Streamlined extraction and transformation processes using AWS Glue, reducing data processing cycle times by 20% and improving system scalability., Partnered with Product, Ops Excellence, and Engineering teams to translate business requirements into technical SOPs and actionable workflow improvements., Conducted technical training sessions for junior analysts on SQL optimization and automated dashboard design.
Cleaned and validated large-scale ML datasets using Python and SQL, improving training dataset consistency by 22%.
Automated recurring Excel-based operational reports using Python scripts, saving approximately 6+ manual hours per week.
Conducted deep-dives across 20+ internal workflows to identify labelling trends, bottlenecks, and anomalies.
Developed structured datasets for downstream ML models, ensuring high input consistency and reducing rework by 15%.
Cleaned and validated large-scale ML datasets using Python and SQL, improving training dataset consistency by 22%., Automated recurring Excel-based operational reports using Python scripts, saving approximately 6+ manual hours per week., Conducted deep-dives across 20+ internal workflows to identify labeling trends, bottlenecks, and anomalies., Developed structured datasets for downstream ML models, ensuring high input consistency and reducing rework by 15%.
Processed and validated high-volume ML training data with 97%+ accuracy.
Identified annotation discrepancies and refined labelling instructions to improve model performance.
Processed and validated high-volume ML training data with 97%+ accuracy; identified annotation discrepancies and refined labeling instructions to improve model performance.
Achieved hands-on experience in project management, workflow planning, and team coordination at the start of the career.
Collaborated with cross-functional teams to develop prototypes and support strategic project goals.
Led a small team, coordinating tasks and ensuring project milestones were met.
Managed project documentation, reporting progress, and maintaining detailed technical records.
Achieved hands-on experience in project management, workflow planning, and team coordination at the start of my career., Collaborated with cross-functional teams to develop prototypes and support strategic project goals., Led a small team, coordinating tasks and ensuring project milestones were met., Managed project documentation, reporting progress, and maintaining detailed technical records.
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