Open to opportunities

I am Ashutosh User

@iamashutoshuser

Message

I build accurate analytics pipelines, machine learning models, and dashboards for data-driven operations.

India

Message

What I'm looking for

I'm looking to build scalable analytics, ETL, machine learning, and BI solutions where I can improve data quality, automate reporting, and partner with cross-functional teams on measurable business outcomes.

At Amazon, I audit large-scale last-mile address and geocode datasets, correct 1,000+ issues weekly, and sustain over 98% data accuracy. My analysis of recurring exceptions contributed to a 15% reduction in delivery exceptions while improving reporting transparency for global Operations, Product, and Engineering teams.

Previously at NAC Crop Science, I built an end-to-end Python and MySQL ETL pipeline for 1M+ farm and sales records, trained pesticide-demand models reaching R² = 0.83, and deployed Power BI dashboards for 50+ business users. I also automated reporting workflows to reduce manual effort by 40%.

Experience

Work history, roles, and key accomplishments

Current

Data Specialist — Last-Mile Analytics & Quality

Current

Amazon

Jan 2025 - Present (1 year 7 months)

Audit large-scale address and geocode datasets using SQL and advanced Excel, correcting 1,000+ data issues weekly and sustaining >98% accuracy across last-mile delivery datasets. Analyze recurring data-exception patterns, perform root-cause analysis, and partner with engineering on fixes, contributing to a 15% reduction in delivery exceptions.

SQL Data Quality Auditing Root Cause Analysis KPI Reporting Data Visualization team training

Data Analyst Intern — Strategic Analytics

NAC Crop Science

Dec 2024 - May 2025 (5 months)

Built an end-to-end agro-analytics ETL pipeline (Python, MySQL) to preprocess and analyze 1M+ farm and sales records. Engineered features and trained ML models (Linear Regression, Decision Tree, Random Forest); best model achieved R² = 0.83 for pesticide-demand prediction.