Open to opportunities

Adarsh Shailesh Gupta

@adarsh_gupta

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Business data analyst who turns complex data into actionable insights and measurable process improvements.

Canada

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What I'm looking for

I seek a data-focused role where I can build analytics and BI solutions, improve processes, collaborate cross-functionally, and deliver measurable operational impact.

I am a results-driven business data analyst with experience building Power BI solutions, optimizing ETL and reporting processes, and delivering data-driven recommendations that improve operational efficiency and decision-making. I have a strong technical foundation in SQL, Python, and BI tools, and a track record of reducing processing time, automating reports, and improving data quality across healthcare and aviation operations.

I collaborate effectively with cross-functional teams to align analytics with business strategy, maintain data governance, and present insights to stakeholders to drive measurable outcomes such as reduced turnaround times, cost savings, and improved reporting accuracy.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Analyst

Current

Ornge

Sep 2024 - Present (1 year 3 months)

Built Power BI dashboards and automated reports to reduce project turnaround by 10% and cut data processing time by 25%, enabling operations teams to identify growth opportunities and improve stakeholder decision-making.

Power BI SQL Data Modeling Data Governance Data Visualization Power Automate

Decision Support Analyst

Healthcare Materials Management Services

Sep 2023 - Sep 2024 (1 year)

Revamped KPI dashboards and implemented process documentation to improve team efficiency by 15% and reporting accuracy by 10%, driving a 10% increase in data-driven decision-making across purchasing, inventory, and finance.

Reporting KPI Design SQL Microsoft Planner Process Mapping Root Cause Analysis Power BI Data Quality

Analyst

BNP Paribas

Jun 2017 - Oct 2021 (4 years 4 months)

Performed data analysis and automation to reduce operational load by 25%, optimized SQL and stored procedures to cut report publishing time by 15%, and automated trading batches saving 4 hours daily.