RAUNAK CHOUDHARY

Led an 8-member infrastructure team, achieving 100% on-time deployment and a 20% reduction in downtime for AWS cloud migration solutions.

Boosted deployment efficiency by 25% through automating infrastructure using AWS Cloud Development, DevOps tools, and Infrastructure as Code.

Halved system and network issues by 50% by seamlessly integrating AWS solutions with application and database teams.

Executed end-to-end cloud migrations for international clients (UK, US, Brazil), elevating client satisfaction by 20%.

Successfully migrated over 30 applications to AWS with zero data loss, reducing migration time by 45%.

Architected scalable solutions for 10 applications, collaborating with lead AWS architect to enhance system scalability by 35%.

Mentored 15+ new team members, reducing onboarding time by 50% and improving delivery consistency.

Recognized as a top 10% performer for sustained high performance, demonstrating exceptional contributions to critical projects.

Analyzed over 1 million data points from Amazon E-commerce, Insurance, and LaLiga datasets, delivering actionable insights.

Optimized data analysis time by 20% leveraging Python, NumPy, Pandas, and advanced data visualization techniques.

Enhanced data accuracy by 30% via advanced preprocessing and feature engineering techniques.

Amplified data insights by 35% using advanced visualization techniques like Violin Plots, Network Graphs, and Heatmaps.

Developed 3 machine learning projects using Python, applying core algorithms across diverse domains.

Engineered an Autism Spectrum Disorder prediction model achieving 88% accuracy.

Utilized K-Nearest Neighbors and Random Forest algorithms to ensure robust model reliability.

Improved text input accuracy by 10% through the application of Natural Language Processing methods.