I’m a data analyst based in Ottawa, Canada who enjoys turning messy datasets into clear insights and engaging stories.
My background spans SQL database design, Python analytics, data visualisation and business intelligence.
Whether I’m automating a reporting pipeline or quantifying health inequities, my goal is always the same: make data accessible and actionable.
- Languages: Python, SQL (T-SQL), DAX
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
- Tools: Microsoft SQL Server, Power BI, Jupyter Notebook, Git/GitHub
Here are a few repositories that showcase my range of skills.
Click through to see the code, notebooks and visualisations.
| Project | Summary |
|---|---|
| Finance-Reporting-SQL | An end-to-end SQL project featuring schema design, idempotent scripts, data-quality checks and KPI views for portfolio finance. Includes a polished ERD and Power BI-ready queries. |
| Healthcare-Analytics-Project | Statistical analysis of CCHS 2019-20 data with survey weighting, revealing that 83.7 % of seniors have a chronic condition vs. 19 % of adolescents and highlighting age and income disparities. Comes with PDF reports and ready-to-run notebooks. |
| Retail-Price-Prediction | Machine-learning models predict pre-tax retail prices using data from 2017-2025. Linear Regression achieves an R² of 0.94, outperforming Random Forest, and visualisations reveal price inflation and tax-rate variation. |
| Healthcare Inequity Dashboard | Interactive Power BI dashboard that highlights chronic-condition disparities by age, sex, income and province, with a dynamic Top 5 conditions visual. |
| CCHS-Chronic-Conditions-EDA | Exploratory analysis of chronic conditions in Canada, comparing national and Ontario patterns and emphasising dual physical/mental health burdens and socioeconomic gradients. |
I maintain other repositories as well—explore my profile for SQL templates, mini API projects and more.
Feel free to reach out if you’d like to collaborate, discuss an opportunity or just chat about data. You can find me on:
- LinkedIn: arun-acharya-26077a362
- Email: acharya.arun@outlook.com
I’m currently exploring advanced analytics techniques—forecasting, time-series modelling and causal inference—and experimenting with AI tools to automate data pipelines.
I’m also writing about public-health data and visualisation on LinkedIn.
Thanks for stopping by!
If you like my work, please ⭐ star your favourite repo or send me a message.