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Sudheshna Bhogavalli

@sudheshnabhogavalli

MBA in Finance & Analytics driving data-led credit and sales insights.

India
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What I'm looking for

I seek a role leveraging finance and analytics to drive credit decisions, sales performance, and process improvements within a collaborative, growth-focused team.

I am an MBA-qualified finance and analytics professional with hands-on experience in credit analysis, financial modelling, and data visualization. I have built Excel cash-flow and repayment-capacity models for SMEs and developed Power BI dashboards to track branch KPIs and sales performance.

At Amazon, I worked as an ML Data Associate monitoring team KPIs, coordinating UAT for a data-annotation tool across 50 annotators, and improving annotation accuracy from 85% to 98% through process gap analysis and defect closure. As an officer at Federal Bank, I leveraged Oracle CX to analyze customer and transaction data for cross-selling and authored SOPs and compliance workflows to support branch operations.

I am outcome-focused, combine financial domain expertise with analytical tooling (Excel, SQL, Power BI), and prioritize clear stakeholder communication to drive measurable improvements in processes and business metrics.

Experience

Work history, roles, and key accomplishments

HI

Business Analyst Intern

Hitachi

Jun 2023 - Jul 2023 (1 month)

Performed data cleaning, transformation and feature engineering in Power BI, created DAX measures and calculated columns, and developed interactive dashboards to visualize business KPIs.

Education

Degrees, certifications, and relevant coursework

GITAM School of Business logoGB

GITAM School of Business

Master of Business Administration, Finance and Analytics

Grade: 9.2 CGPA

MBA in Finance and Analytics completed with a 9.2 CGPA and awarded Gold Medal.

VC

Villa Marie Degree College

Bachelor of Business Administration, Finance

Grade: 9.1 CGPA

Bachelor of Business Administration in Finance completed with a 9.1 CGPA.

NC

Narayana Junior College

Intermediate, MPC

Grade: 97%

Completed Intermediate (MPC) with a score of 97%.

Tech stack

Software and tools used professionally

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