Based in Auckland, New Zealand

Data Analyst
& Software
Engineer

SQL-driven insights. Power BI storytelling. Backend systems that scale.
2+ years translating complex data into decisions that matter — at Hitachi Energy and Afford IT. Completing MIT at Auckland Institute of Studies, graduating May 2026.

Available full-time from May 2026
PSW Visa Ready · NZ Work Rights
Priyanka Pradhan
Priyanka Pradhan — Auckland, NZ
2+
Years experience
$1.3M
Revenue modelled
4+
Projects shipped
NZ
Work rights ready

Turning messy data into decisions that move business

I am an Information Technology professional specialising in SQL-driven insights and interactive Power BI storytelling, with 2+ years of hands-on experience building backend systems, optimising data pipelines, and developing SaaS applications at Hitachi Energy and Afford IT.

My focus is translating complex SaaS and enterprise metrics into actionable business strategies — the kind that a CEO can act on Monday morning. I don't just build dashboards; I build the SQL transformation layers, data quality checks, and simulation models underneath them.

I completed a Backend Developer internship in Auckland building Laravel services and RESTful APIs, and previously worked on enterprise CTRM/ETRM Tracker systems at Hitachi Energy. I am currently completing my Master of Information Technology at Auckland Institute of Studies (May 2026), and hold a certification in Data Science and Machine Learning in Python.

LocationAuckland, New Zealand
GraduationMay 2026 — MIT (AIS)
Work Rights✓ PSW Visa — May 2026
Experience2+ years professional
SpecialisationData Analytics · Backend Dev
ToolsSQL · Power BI · Python · Laravel
StatusOpen to opportunities
Languages
Python PHP SQL JavaScript HTML CSS
Frameworks & Libraries
Laravel Pandas NumPy React Bootstrap Matplotlib
Data & Analytics
Power BI DAX MySQL ETL Pipelines Data Modeling RESTful APIs
Cloud & DevOps
Azure DevOps Git CI/CD Pipelines GitHub Postman
Methodologies
Agile / SCRUM Data Quality Mgmt SDLC Unit Testing Jira Confluence
Currently Upskilling
Tableau Machine Learning XGBoost ARIMA Azure Data Factory
Jun 2025 – Aug 2025
Afford IT
Auckland, NZ

Backend Developer Intern

Laravel · PHP · RESTful APIs · Git · Agile
  • Built and maintained robust backend services using Laravel (PHP), contributing directly to production web and mobile applications used by real clients
  • Developed RESTful APIs consumed by React and Bootstrap frontends — ensuring reliable data exchange and clean separation of concerns
  • Managed source code using Git with branching strategies and participated in peer code reviews to maintain code quality
  • Delivered features within Agile sprint cycles, attending daily stand-ups and contributing to sprint retrospectives
Feb 2023 – Jul 2024
Hitachi Energy
Kathmandu, Nepal

Software Engineer

PHP · JavaScript · SQL · Azure DevOps · SCRUM
  • Maintained and enhanced enterprise CTRM/ETRM Tracker SaaS modules using PHP and JavaScript, supporting multi-client business-critical operations across the energy sector
  • Wrote and optimised complex SQL queries across large datasets — improving data retrieval speed and ensuring accuracy of business-critical financial reports
  • Designed and integrated RESTful APIs enabling efficient data exchange between internal systems and third-party services, reducing manual data handling
  • Automated build and deployment pipelines via Azure DevOps, cutting manual release effort and minimising deployment downtime
  • Conducted unit testing and worked closely with QA teams to identify and resolve bugs, improving overall system stability
01

Time Series Sales Forecasting with Data Quality Management

Problem Retail demand forecasting on Corporación Favorita's 4-year dataset (2013–2017) was unreliable due to undetected outliers and data quality issues.
Action Applied IQR, Isolation Forest, and data validation rules as a DQM pre-processing layer before running ARIMA and XGBoost forecasting models.
Result Demonstrated statistically significant forecast accuracy improvements post-DQM, proving data quality is a first-order concern before any model tuning.
PythonARIMAXGBoostPandasScikit-learn
02

SaaS Revenue Retention & Churn Analytics Dashboard

Problem A B2B SaaS company had $4.4M in revenue at risk with no visibility into churn patterns or which customer segments to prioritise for retention.
Action Engineered a SQL transformation layer using LAG() window functions and DAX-powered What-If simulation in Power BI to model recovery scenarios.
Result Identified a 37.8% churn rate and modeled up to $1.3M in recoverable revenue, giving leadership a clear retention strategy.
SQLPower BIDAXData Modeling
03

Payroll Management System

Problem Manual payroll processing was error-prone and time-consuming, with no centralised system to track attendance, salaries, and payslip generation.
Action Built a full-stack system in Laravel and MySQL with secure authentication, attendance tracking, and automated monthly payslip generation via REST APIs.
Result Delivered a production-ready payroll system with optimised SQL queries reducing report generation time and eliminating manual calculation errors.
LaravelPHPMySQLREST APIs
04

Blog Platform with Role-Based Access Control

Problem Content teams needed a self-managed publishing platform with separate user and admin workflows, moderation controls, and secure login — without relying on off-the-shelf CMS tools.
Action Built a full-featured blog platform in Laravel and MySQL with CRUD operations, Laravel Auth, and a custom role-based access control (RBAC) system.
Result Delivered a secure, scalable platform with distinct admin and user experiences, demonstrating competency in backend architecture and access control design.
LaravelPHPMySQLAuthRBAC
Master's Degree

Master of Information Technology

Auckland Institute of Studies

2024 – May 2026

Certificate of Academic Excellence
Bachelor's Degree

Bachelor of Information Management

Tribhuvan University

2018 – 2023

Certification

Data Science & Machine Learning in Python

Deerwalk Training Center

2022

Let's work together

I am actively seeking full-time Data Analyst or Software Engineer roles in Auckland, available from May 2026 on a Post-Study Work Visa. Whether it's a data challenge that needs SQL architecture, a Power BI dashboard that needs business storytelling, or a backend system that needs building — I'd love to chat.

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