Amole John

I am a results-driven Data Analyst with over three years delivering high-quality analytics across large, complex datasets in governance-focused environments. I combine strong technical skills in SQL, Power BI, Tableau, and Python with a disciplined approach to data validation, reconciliation, and anomaly investigation.

My experience spans end-to-end analytics delivery, from requirements gathering with cross-functional stakeholders to building auditable datasets and presenting recommendations to senior management. I have automated recurring reports with Python to reduce manual effort and created interactive dashboards that drive decision-making.

I am well suited to remediation, regulatory reporting, and financial-services analytics where accuracy, compliance, and timely delivery are critical. I have applied statistical and machine learning methods—linear regression, random forest, decision trees, and clustering—in academic and applied projects to generate actionable insights.

I bring a governance-first mindset, strong stakeholder engagement, and practical experience in Agile ways of working. I seek opportunities to strengthen data quality, scalability, and the business impact of analytics solutions.