Junior BI / Data Analyst (Melbourne) — Tableau • Power BI • SQL • Python • MySQL • Dashboards • Data QA

Portfolio: https://eashwar-subramanian.github.io/Portfolio/
LinkedIn: https://www.linkedin.com/in/eashwar-subramanian-02461a1b3/

Email: eashwars2001@gmail.com

End-to-end Tableau BI build focused on executive KPIs, time trends, and interactive drilldowns.

What I built (Sales Dashboard):

• KPI tiles for Sales, Profit, Quantity with monthly sparklines and min/max markers
• Bar-in-bar sub-category comparison (current year vs previous year)
• Weekly trends for Sales & Profit with average reference lines
• Interactivity: Select Year parameter, show/hide filter panel, and dashboard navigation

Repo: https://github.com/Eashwar-Subramanian/sales-customer-performance-bi-tableau
Live dashboard: https://public.tableau.com/views/SalesDashboard_17726779946520/SalesDashboard?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link

Customer segmentation using RFM-style features and K-Means clustering, packaged with a Power BI dashboard built on the generated customer-level dataset.

Results (from powerbi_enriched_data.csv):

• Customers: 788
• Total revenue: $715,541.58
• Avg revenue per customer: $908.05
• Clusters: 3 (414 / 106 / 268 customers)
• Revenue share by cluster: 55.54% / 15.89% / 28.57%
• Data quality: 1,041 / 1,435 order numbers were inconsistent (72.54%). I validated cart-level consistency and rebuilt stable transaction grouping for correct customer metrics.

Repo: https://github.com/Eashwar-Subramanian/retail-customer-segmentation-australia

Power BI sales dashboard packaged with a MySQL database dump so the source data can be restored locally and the model reproduced.

Repo: https://github.com/Eashwar-Subramanian/sales-analytics-dashboard-powerbi

Flask dashboard that generates on-demand weekly SARIMAX forecasts for Australian locations and renders a temporal Folium map.

Repo: https://github.com/Eashwar-Subramanian/climate-policy-forecasting-dashboard

• Nashville housing data cleaning (standardization, parsing, de-duplication):
  https://github.com/Eashwar-Subramanian/real-estate-data-cleaning-mysql
• COVID-19 exploration queries + Tableau prep outputs:
  https://github.com/Eashwar-Subramanian/covid-data-analysis-sql-tableau

Coursework full-stack project using Java servlets with AWS integration components. Includes Java utilities for S3 bucket creation and automated image download + upload to S3.

Repo: https://github.com/Eashwar-Subramanian/cloud-music-subscription-app

If you’re willing to review, please open an Issue titled: Review: and comment on:

• README clarity and reproducibility
• SQL readability and structure
• Power BI model/measure naming and layout
• Reliability patterns (logging, dedupe, outputs)

Tableau
Python (pandas, numpy, scikit-learn, Flask, FastAPI, pytest)
SQL (MySQL)
Power BI
Java + AWS components (S3, DynamoDB, Lambda, EC2)
Git

Advanced SQL + Tableau/Power Bi/Excel dashboard design best practices

Master of Data Science(Distinction) — RMIT University (Dec 2025)
Bachelor of Electronics & Communication Engineering — First Class Distinction