Khushika Arya

Strengthened release quality by executing 1,000+ test cases across health, life, general and loan insurance modules, catching 12 defects before release and protecting the production rollout. Reviewed acceptance criteria across 15 user stories, closing requirement gaps early and cutting sprint carryover by ~30% over 3 Agile cycles. Managed 35+ JIRA tickets for a 6-member engineering team, reducing ticket resolution time by ~20% and flagging edge-case issues before they reached production.

Engineering Intern - AU Small Finance Bank - Jaipur

(2026-01 - 2026-07)

• Strengthened release quality by executing 1,000+ test cases across health, life, general and loan insurance modules, catching 12 defects before release and protecting the production rollout.
• Reviewed acceptance criteria across 15 user stories, closing requirement gaps early and cutting sprint carryover by ~30% over 3 Agile cycles.
• Managed 35+ JIRA tickets for a 6-member engineering team, reducing ticket resolution time by ~20% and flagging edge-case issues before they reached production.
• Awarded Best Presentation for showcasing project work and insights to the wider engineering team.

Machine Learning Trainee (On-site) - IIT Kanpur

(2023-05 - 2023-06)

• Built and evaluated regression, decision tree, random forest and k-means models on real-world datasets under faculty guidance.
• Developed an employee attrition prediction model reaching 87% accuracy, the top result in the cohort.

Python for Data Science Trainee (Remote) - IIT Kanpur

(2023-06 - 2023-07)

• Completed 120+ hours of applied training in Pandas, NumPy, Matplotlib, Seaborn and Scikit-learn.
• Delivered 3 end-to-end data analysis projects across HR, finance and retail datasets, each including data cleaning, analysis and a visual dashboard.

B.Tech - Computer Science – Artificial Intelligence - Banasthali Vidyapith, Rajasthan (2022 - 2026)