Melbourne, Australia

Adarsha Aryal

I build |

Data Analyst with 6+ years of experience across engineering, analytics, and operational data solutions. Skilled in Python, SQL, Power BI, Databricks, and cloud platforms to transform complex datasets into actionable insights. Experienced in building data pipelines, developing analytics solutions, and improving business decisions through data-driven reporting.

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Adarsha Aryal

About Me

I’m a Data Analyst with 6+ years of experience across engineering, project delivery, and analytics, with a background in electrical engineering and business administration. I combine technical expertise with business understanding to transform complex datasets into actionable insights, improve processes, and support data-driven decision-making. My experience spans telecommunications infrastructure, operational analytics, business reporting, and data solutions, where I have worked with Python, SQL, Power BI, Databricks, and cloud platforms to build data pipelines, dashboards, and analytical solutions.

I’m passionate about using data to solve real-world problems and create measurable business impact.

Languages & Tools

PowerBI Tableau MS Excel Python R SQL PySpark Kafka

Cloud & Infrastructure

AWS PostgreSQL MongoDB Vercel Databricks Snowflake Supabase

Specialisations

Data Analysis Data Visualisation Machine Learning Big Data Data Pipelines Cloud Computing

Experience & Education

Work Experience

Data Analyst

Hubsteer Pty Ltd
Melbourne, Australia Jun 2026 — Present
  • Engineered structured ETL data pipelines from unstructured MongoDB collections using Python, reducing data processing time by 67% and enabling seamless predictive modelling for downstream analytics.
  • Identified key growth opportunities across 5+ travel client datasets by executing EDA and statistical analysis in Python and R, uncovering $250K in potential revenue streams for executive decision-makers.
  • Optimised client revenue strategies by constructing Python-based predictive models for dynamic pricing and order forecasting, improving pricing accuracy by 85% and increasing average order value by 45%.
  • Designed 5+ interactive Power BI and Python dashboards to translate complex travel datasets, reducing executive decision-making time by 65% across 3 key business units.
  • Built a FastAPI/Python recommendation engine using MongoDB, pandas, Google Analytics and paid-media APIs to analyse 100,000+ tour-booking and marketing records, producing 100+ product-level sales, pricing, marketing, distribution and customer-experience recommendations with explainable JSON evidence and estimated financial impact.

Agentic Specialist (Part-Time)

Enspyr Pty Ltd
Melbourne, Australia Mar 2026 — Present
  • Built an automated LLM evaluation harness in Python to compare model quality, consistency, token efficiency, and response latency across 100+ benchmark prompts, accelerating model selection while improving evaluation reliability.
  • Optimised LLM inference routing by benchmarking domain-specific models and implementing cost-aware model selection logic, reducing inference costs by 35% while maintaining response quality above 95% on internal evaluation benchmarks.
  • Investigated similarity-based retrieval and memory architectures to reuse historical experiment outcomes, laying the foundation for adaptive LLM routing capable of continuously improving model selection accuracy over time.

Project Analyst

China Communications Services
Beijing, China Oct 2019 — Dec 2023
  • Reduced design errors by 25% across 100+ 4G deployment projects by automating technical survey data validation routines in Excel, ensuring seamless installation planning and high dataset integrity.
  • Accelerated regional 4G rollout timelines by conducting exploratory analysis on tower site metrics and delivering data-driven equipment optimisation reports to senior engineering leads.
  • Boosted project reporting accuracy to 99% by establishing cross-functional data-clearing workflows with field survey teams, maintaining strict adherence to client compliance standards.

Project Analyst

Airflow Industries Pvt. Ltd.
Kathmandu, Nepal Sep 2017 — Oct 2019
  • Reduced technical planning errors by 20% by building structured data validation routines in Excel for 50+ pharmaceutical HVAC installation datasets, ensuring high dataset integrity prior to site execution.
  • Uncovered 12% in cost optimisation opportunities across major facility installations by engineering financial variance models to analyse resource allocation, material costs, and expenditure trends.
  • Accelerated stakeholder reporting timelines by designing automated progress-tracking dashboards and synthesising complex engineering datasets into actionable insights for cross-functional leads.

Education

Master of Data Science

Monash University, Melbourne

Feb 2024 — Dec 2025

Data Wrangling, Data Exploration & Visualisation, Big Data Processing

Master of Business Administration

Pokhara University, Nepal

Aug 2019 — Mar 2023

Accounting, Finance, Marketing

Bachelor in Electrical Engineering

Tribhuvan University, Nepal

Oct 2013 — Dec 2017

Power Systems, Engineering Management, Computer Programming, Control Systems

Projects

Hive Joy (Australian Honey Marketplace)

End-to-end platform with Supabase authentication, PostgreSQL database, seller workflow, and role-based access control. Integrated Cloudinary for scalable media and optimised delivery.

Next.js Supabase PostgreSQL Cloudinary Vercel Stripe

Weather Watch

Hourly Databricks pipeline processing 1.1M rows across 100 cities using PySpark and Delta Lake. Built anomaly detection, K-Means clustering, and Prophet forecasting models tracked via MLflow, served through a live Streamlit app.

Databricks PySpark MLflow Streamlit

US Mass Shootings Interactive Data Dashboards

Used open datasets to perform exploratory analysis and built dynamic, interactive dashboards using R-Shiny for visual storytelling.

R R-Shiny Data Visualisation

CoolRoute (Comfortable Route Finder Android Application)

Collaborated in a team of five to build an Android application that recommends the most comfortable routes for cyclists and pedestrians, rather than the fastest route.

Android Java Maps API

Get In Touch

I'm currently looking for data analyst and data engineering opportunities in Australia. Whether you have a question or just want to connect, my inbox is always open.

Say Hello

Melbourne, Australia

+61 449 020 354

adarsha.aryal653@gmail.com