About
Highly skilled R Shiny Developer and Data Analyst with 4+ years of experience in building robust, high-performance analytical applications and optimizing data processes. Proven ability to implement scalable solutions, integrate complex systems, and leverage cloud platforms (AWS) to drive significant efficiency gains and enhance user experience. Adept at translating complex data into actionable insights and fostering collaborative development environments.
Work
Bengaluru, Karnataka, India
→
Summary
Currently developing and optimizing R Shiny applications for credit risk assessment and scalable deployment at EY India, enhancing interactive data solutions.
Highlights
Developed and implemented interactive R Shiny credit risk models, significantly enhancing risk assessment efficiency and accuracy.
Optimized automated R scripts to improve performance and maintainability, streamlining data processing workflows.
Containerized R Shiny applications using Docker, establishing a consistent and scalable deployment process.
Integrated React with backend services to build robust R Shiny applications, enhancing user experience and functionality.
Bengaluru, Karnataka, India
→
Summary
Developed and maintained R Shiny applications and plumber APIs for Pharma Analytics, driving significant performance improvements and process efficiencies.
Highlights
Optimized R Shiny application backend, reducing processing time by 80% and memory usage by 40% for enhanced performance and resource efficiency.
Engineered and deployed R Plumber APIs, facilitating seamless integration and shared service utilization across diverse Shiny applications.
Championed Git/GitHub adoption, transitioning the team from inefficient zip file workflows to a streamlined version control system.
Spearheaded the integration of AWS with React, Flask, and Shiny applications, establishing a more efficient and scalable development environment.
Mumbai, Maharashtra, India
→
Summary
Managed business logic and client presentations for automated reconciliation systems, ensuring accurate and tailored data solutions.
Highlights
Configured and deployed business logic for automated reconciliation systems using proprietary software, streamlining financial data processes.
Developed and maintained custom logic to meet evolving client requirements, enhancing system adaptability and accuracy.
Communicated complex system setups and analytical findings to clients, ensuring clear understanding and stakeholder alignment.
Bangalore, Karnataka, India
→
Summary
Conducted economic research and drafted reports on critical issues for the Federation of Karnataka Chambers of Commerce and Industry.
Highlights
Authored comprehensive economic reports on critical issues such as APMC reforms, COVID-19's socioeconomic impact, and state budget analysis, informing policy discussions.
Volunteer
Discord R Community
|First-Responder (R Programmer Support)
→
Summary
Provided technical assistance and support to fellow R programmers within a Discord community, fostering collaborative problem-solving.
Highlights
Volunteered as a first-responder in the Discord server, providing assistance to R programmers in various #R-Help channels.
Skills
Programming Languages
R, Python.
Cloud Platforms
AWS, AWS Lambda, EventBridge, AWS S3.
Databases
SQL.
Version Control
Git, GitHub.
Operating Systems
Linux.
Data Science & Machine Learning
DS/ML, Machine Learning, Neural Networks, Sentimental Analysis.
R Frameworks & Packages
R Shiny, Plumber, Shiny Modulus, Rhino Package, RCognito (R Package).
Web Technologies
React, Flask.
Data Analysis
Automated Reconciliations, Economic Reporting, Data Visualization.