Arjun Kundapur

Developed and optimized Azure DevOps CI/CD pipelines reducing deployment time by 25% and improving execution throughput by 10%; led a 12+ member Agile team to launch EQuIS Helios and resolved 15+ high-priority defects pre-release, cutting client-reported issues by 20%.

Automated ingestion of billing reports into BigQuery improving data accuracy by 25% and eliminating 5+ hours/week of manual reporting; built a DBT SQL pipeline that reduced data errors by 33% and improved query performance by 12% for regulatory reporting.

Processed 1M+ live MySQL records to update analytical models, cutting report generation time by 20%; applied time-series analysis and k-means clustering in Python on forklift alarm data, reducing service team workload by 23%.

Analyzed 500GB+ of geospatial data using regression and decision tree algorithms to improve classification accuracy by 17%; integrated external APIs with Snowflake to process 37,000+ records, reducing daily processing time by 2 hours.

Performed pricing and fee analysis and used Google Analytics to reduce overhead costs by 30% and increase website traffic by 12%; collaborated with Marketing and Data Product teams to improve cross-functional project success by 10%.

Master of Science in Data Analytics Engineering with coursework in computation and visualization, economic decision making, data mining, and machine learning.

Bachelor of Technology in Electronics Engineering with coursework including Python, data structures and algorithms, signals and systems, and entrepreneurship.