Available for work

Sunam Niroula

Full-Stack Developer| Next.js | TypeScript | Prisma
Building real products | Open to work & collaboration

Resume ↓
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01 / 04
LIVE & DEPLOYED

Nomad Rider

Travel-tech platform for digital nomads

A destination discovery dashboard that helps remote workers find work-friendly spots in India and Nepal — filtered by Wi-Fi quality. Built solo from zero to deployed.

  • User auth with Clerk — personalized saved spots per account
  • Full CRUD: create, browse, search, and delete listings
  • Real-time search filtering across all destinations
  • PostgreSQL database managed with Prisma ORM
  • Deployed and live on Vercel with CI/CD from GitHub
Next.js 14TypeScriptPrismaPostgreSQLClerkTailwind CSSshadcn/uiVercel
02 / 04
LIVE & DEPLOYED

Golden Sungava School Website

Full-stack school website with Supabase CMS

A production school website with an admin panel for managing notices, admissions, staff, and site config. Built with a Supabase PostgreSQL backend, row-level security, and CI/CD deployment.

  • Admin CMS: manage notices, staff records, admission routing, and site config
  • Supabase PostgreSQL backend with custom SQL migrations and RLS policies
  • Admission routing — toggles between internal form and external URL from admin panel
  • Nepali language support with proper font rendering across all pages
  • CI/CD via GitHub Actions, deployed to Vercel with environment-specific configs
Next.js 14TypeScriptSupabasePostgreSQLTailwind CSSshadcn/uiVercel
03 / 04
DATA ANALYSIS

IBM HR Attrition Analysis

Employee turnover analysis & retention strategy

Identified critical flight-risk employee segments responsible for over 39% of total turnover using Python for data wrangling and an interactive Tableau dashboard for executive reporting.

project stats
> Segmented 1,400+ employee records to isolate high-risk cohorts
> Built Tableau dashboard breaking down turnover by role and age group
> Proposed data-backed retention strategy targeting 18–25 age group
> Recommended Job Architecture Review to reduce recruitment costs
PythonPandasTableauEDAData Visualization
04 / 04
SQL

Walmart Sales Analysis

SQL pipeline for 45-store transactional dataset

Analyzed large transactional datasets across 45 Walmart stores to identify patterns tied to holidays, store locations, and economic factors using advanced SQL engineering.

project stats
> Built complex SQL pipelines with CTEs, window functions, and aggregations
> Identified peak demand weeks and primary drivers of sales fluctuations
> Delivered insights for optimizing staffing and inventory management
> Cleaned and structured raw data for reliable cross-store reporting
SQLMySQLCTEsWindow FunctionsData Engineering
Let's work together

Hire Me.
Seriously.

Junior full-stack developer · Remote / India / UAE
Available now · Fast learner · Ships real things

sunamniroula.com · 2025