Trissaan A. Shanmugasundaram
I don't just
analyse data.
I build systems
that act on it.
MS Data Science · AWS Certified Data Engineer · 2+ years building production data systems for Mondelez, Nestlé, L'Oréal, and Asahi.
Melbourne, Australia · Open to Work · Full work rights (485 visa, valid Feb 2028)
Data → Insight → Action
SQL pipelines. Python automation. LLM-powered agents. Power BI dashboards. I build the full stack from raw data to business decisions.
Experience
Data Scientist & Analytics Engineer
Packcentre Marketing Services
Apr 2024 – Mar 2026
15,000+ daily records · SQL/Python pipelines · Power BI dashboards · Enterprise clients (~$2M Mondelez, Nestlé, L’Oréal)
Project Engineer – Data & Automation
Wipro
May 2022 – Feb 2023
Enterprise data migration to AWS · SQL extraction & validation · Dataset reconciliation
Credentials
MS Data Science – Deakin University
BE Electronics – Anna University
AWS Certified Data Engineer
Core Stack
Featured Project
I built an AI that applies
to jobs for me.
Full-stack platform: Playwright scrapes Seek listings, GPT tailors my resume & cover letter per job, then tracks every application in a live dashboard. Backend on FastAPI + MongoDB, frontend on Next.js, auth via AWS Cognito.
Background schedulers continuously monitor new listings matching my criteria. No manual applications — the system handles end-to-end.
Step 1
Seek
Job Board Scraping
Step 2
GPT
Resume & Cover Letter Tailoring
Step 3
Cognito
JWT Auth + User Accounts
Step 4
Live
Progress Dashboard
Packcentre Marketing Services · Apr 2024 – Mar 2026
From 15,000+ records
to real decisions.
Owned the full lifecycle of reporting systems — from schema design through deployment. Partnered with operations, finance, and C-suite to translate requirements into data products.
0+ Daily Records
SQL + Python pipelines with automated validation gates processing transactional data for Mondelez (~$2M), Nestlé, L’Oréal, and Asahi.
Power BI Dashboards
DAX-based KPI measures across financial, logistics, and client performance. Used by operations, finance, and C-suite for decision-making.
Manual → Automated
Replaced Excel-based workflows with Python + SQL automation and Power Automate distribution, eliminating manual handoffs.
Data Quality Gates
Anomaly detection, data drift monitoring, and systematic reconciliation workflows catching errors before they reach downstream systems.
Selected Projects
Things I've
built.
From LLM-powered agents to enterprise data platforms — a few highlights.
Not just dashboards.
Systems.
End-to-end data infrastructure, from ingestion to insight.
Ingest
PostgreSQL
Transform
Python + PySpark
Orchestrate
Airflow / DAGs
Visualize
Power BI
Automate
AI / LLM
Dashboardsdon’t matter.Decisions do.
Every pipeline I ship exists to shorten the distance between a number and an action. Visualisation is the garnish — the work is upstream.
Let's build something
that actually works.
Looking for roles in data engineering, AI systems, and analytics. Melbourne-based, open to relocation, full Australian work rights.
© 2026 Trissaan A Shanmugasundaram