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Quadraforge Finance

@quadraforgefinance

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Financial Data Analyst specializing in risk analytics, SQL, and portfolio modeling.

India

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What I'm looking for

I’m looking for a role where I can build Python/SQL analytics and Power BI dashboards for market and risk insights, automate reporting, and apply ML explainability—while working with a team that values data-driven decision-making and continuous improvement.

I’m a Financial Data Analyst focused on financial analytics that turns market data into clearer decisions. I combine portfolio analysis, risk assessment, and business intelligence reporting to support structured market analysis.

In my internships, I built end-to-end analytics workflows with Python, SQL, and BI tools. I automated financial data processing and KPI reporting, including data cleaning and validation with Pandas, NumPy, and PostgreSQL, and I delivered interactive Power BI and Tableau dashboards for KPI monitoring and executive reporting.

I also apply machine learning for risk-oriented insights, including classification/regression, feature engineering, and explainability with SHAP. My projects include a financial market analytics & regime detection platform, a churn prediction system with risk segmentation, and a business intelligence reporting system built with star-schema architecture and ETL pipelines.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Unified Mentor

Mar 2026 - May 2026 (2 months)

Built automated Python and SQL analytics workflows for structured data processing, KPI reporting, and business decision support. Cleaned, transformed, and validated data using Pandas, NumPy, and PostgreSQL, and created interactive Power BI and Tableau dashboards for executive reporting.

Python SQL Pandas NumPy PostgreSQL Data Cleaning data transformation Data Validation KPI Reporting Power BI Tableau Dashboard Development

Research Analyst Intern

Savvy Merit

Jul 2025 - Sep 2025 (2 months)

Conducted financial analysis of 30+ equities using earnings data, corporate actions, and macroeconomic indicators to evaluate valuation trends and portfolio risk exposure. Automated financial data processing workflows with Python and produced structured investment research reports highlighting sector trends and key portfolio risk factors.

Python Financial Analysis Equity Analysis Corporate Actions Analysis Data Automation