Open to IT Support · Data · AI/ML roles

Nethmi
Malsha

IT GRADUATE — ADELAIDE, AUSTRALIA
LinkedInGitHub
✓Full Working Rights in Australia✓No Sponsorship Required✓Open to IT Support, Data Analytics & Software Engineering Roles
Scroll
Nethmi Malsha
Adelaide, South Australia
About

About Me

I'm an IT graduate from Adelaide University, majoring in Artificial Intelligence and Machine Learning, and most days you'll find me somewhere between a dataset, a broken system, and a cup of coffee, trying to make sense of all three. My work stretches across data analytics, IT support, and software engineering, and I like it that way. Data analytics gives me the puzzle, IT support gives me the fix, and software engineering gives me something to build once I've figured both out.

I keep my problem solving sharp on LeetCode, work in Python, SQL, Power BI, and Java, and spent time as a research assistant at university, which taught me just as much about asking the right question as finding the answer.

Outside of the technical work, I'm an active member of the ACS and served as COO of Women in Leadership Management, where I got to spend time on something I care about just as much as code: making sure more people feel like they belong in tech and in leadership.

PythonSQLPower BIExcelDAXMachine LearningWindows Server & Active DirectoryMicrosoft 365TroubleshootingTechnical DocumentationNetworking(TCP/IP, DNS, VPN)Ticketing Systems(ServiceNow, Jira)
Adelaide University
Bachelor of Information Technology
Artificial Intelligence & Machine Learning · Adelaide University
Tech Stack

What I work with

A quick overview — each project below shows the specific tools used for that piece of work.

Languages

  • Python
  • SQL
  • Java
  • JavaScript

Data & ML

  • scikit-learn
  • Pandas
  • Power BI
  • Excel / PivotTables

Engineering

  • Spring Boot
  • REST APIs
  • Git / GitHub
  • SQL databases

IT & Support

  • Windows Server & Active Directory
  • Microsoft 365
  • Networking (TCP/IP, DNS, VPN)
  • System Admin
  • Troubleshooting
  • Documentation

Projects

Filter by the field you're hiring for — each tab shows only the relevant work.

Core tools: Python · SQL · scikit-learn · Power BI · Excel
● ● ● @ANALYTICS
81% accuracy

Closed-Loop EEG Brain Stimulation Controller

Trained a model to predict neural state changes from EEG data, achieving 81% accuracy.

PythonSignal ProcessingMachine Learning
● ● ● @ANALYTICS
Retention strategy

Customer Segmentation & Recommendations

Data-driven Power BI dashboard highlighting key customer personas and retention strategies.

Pythonscikit-learnPower BI
● ● ● @ANALYTICS
27% churn reduction

Churn Analysis

Built a Random Forest model to predict at-risk customers and inform retention strategy.

Pythonscikit-learnPower BI
● ● ● @ANALYTICS
Dashboard

Sales Insights Dashboard

Interactive Excel dashboard summarising sales performance, product trends, and regional hits.

ExcelPower PivotData Analysis
● ● ● @ANALYTICS
36% RMSE improvement

Bike Rental Demand Forecast

Forecasted hourly bike rental demand in Seoul using regression models, cutting prediction error well below a mean-baseline model.

Pythonscikit-learnRegressionFeature Engineering
● ● ● @ANALYTICS
Data Structures & Algorithms

KD-Tree Nearest Neighbor Classifier

Built a 1-Nearest-Neighbor classifier from scratch using a k-d tree, optimizing nearest-neighbor search over brute-force comparison.

PythonData StructuresAlgorithmsk-NN
● ● ● @ANALYTICS
96.6% F1 · 99.3% AUC

Breast Cancer Diagnosis Classifier

Built a classifier to detect malignant tumours from histological cell measurements, benchmarked against clinical baselines.

Pythonscikit-learnClassificationModel Selection
Credentials

Certifications

Verified credentials and clearances.

Google IT Support Professional Certificate
Google / Coursera · May 2026
[Update: course title]
[Update: issuer · date]
Let's Connect

Find me online

Open to IT support, data, and AI/ML roles — reach out any time.

EmailLinkedInGitHubResume