Gagan Inder
Bangalore
Summary
R Shiny Developer with 3+ years of experience in building interactive, production-grade dashboards for risk analytics and business intelligence. Skilled in R, R Shiny, Python, SQL, and developing modular, scalable applications with real-time visualizations. Experienced in performance optimization, modular design, and version control (SVN/Git). Adept at translating complex data into intuitive, user-driven dashboards.
Overview
3
3
years of professional experience
Work History
Product Engineer
Maybank
Bangalore
06.2022 - Current
- Developed interactive R Shiny dashboards for risk modeling, including Economic Capital, Expected Loss, and portfolio optimization, used by senior risk officers at Maybank.
- Implemented modular Shiny architecture using callModule() and moduleServer() for reusability and easier maintenance.
- Built real-time visualizations (loss distribution curves, histograms, box plots) to identify trends, outliers, and risk concentrations.
- Optimized Oracle SQL queries and stored procedures, reducing dashboard load time by 2+ seconds on large datasets .
- Integrated reactive data pipelines to support dynamic filtering, drill-down analysis, and scenario-based simulations (Monte Carlo).
- Maintained version control via SVN for R scripts, SQL logic, and UI components — ensuring reproducibility and team collaboration.
Education
B.Tech -
NMAM Institute of Technology
Mangalore01.2020
Skills
- R and Python
- SQL and Oracle
- JavaScript and HTML/CSS
- Data visualization tools
- Version control systems
- Modular Shiny applications
- Reactive programming techniques
Projects
- Economic Capital (R Shiny): Built a modular Shiny app to compute and visualize economic capital using Monte Carlo simulation., Enabled interactive scenario analysis with dynamic inputs (confidence levels, time horizons)., Used ggplot2 and plotly for hover-enabled, zoomable charts.
- Geospatial Dashboard : Branch & Collateral Mapping (Learning Project), Developed a Leaflet-based Shiny app to visualize bank branches and collateral locations across Indian states and districts., Implemented drill-down navigation (State → District → Branch) with dynamic filtering., Tech: R, Shiny, Leaflet, JSON, reactive filtering.
Accomplishments
- Awarded Best Individual Performer at MBB Labs
- Proficient in Git/SVN for version control and collaborative development
Timeline
Product Engineer
Maybank
06.2022 - Current
B.Tech -
NMAM Institute of Technology