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Dipesh Kedia

@dipeshkedia

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Data-driven business consultant specializing in analytics and risk management.

India

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What I'm looking for

I seek a growth-oriented analytics role where I can apply AI and SQL-driven automation, build executive dashboards, improve controls, and contribute to measurable revenue and risk outcomes while collaborating cross-functionally.

I am a data-driven business consultant with 2+ years of experience in analytics, SQL development, Power BI dashboarding, and risk management, focused on applying quantitative processes to portfolio oversight and revenue optimization.

At Ernst & Young I led daily data analytics and risk-management operations, automated 10+ SQL reconciliations using AI, designed executive Power BI dashboards, and identified $20M+ in anomalies while contributing to $50M+ and $80M+ revenue optimization and recoveries through testing, reconciliations, and process improvements.

I continually upskill in Generative AI and Python, and I bring strengths in stakeholder communication, SOP creation, cross-functional collaboration, and governance to drive process automation and deliver data-backed insights for growth-oriented environments.

Experience

Work history, roles, and key accomplishments

Current

Associate Consultant

Current

Ernst & Young

Nov 2024 - Present (1 year 7 months)

Led daily data analytics and risk management operations, automating 10+ SQL reconciliations to save ~5 hours/day and designing 3+ executive Power BI dashboards that supported identification of $20M+ anomalies for escalation.

SQL Power BI Data Analytics Risk Management Dashboarding Power Automate

Senior Analyst

Ernst & Young

Jul 2023 - Nov 2024 (1 year 4 months)

Maintained SOPs and testing environments, executed functional test cases and KPI tracking to optimize business rules and discount plans, contributing to $50M+ in revenue optimization through data-driven insights.

Performance Testing KPI Tracking Data Visualization SOPs Root Cause Analysis CRM Excel

Intern

Ernst & Young

Feb 2023 - Jul 2023 (5 months)

Supported ERP reconciliations and anomaly detection on high-value financial data, contributed to 5G site fallout management validation, and improved internal reporting via CRM and issue-tracking tools.

Reconciliations Anomaly Detection CRM Issue Tracking Reporting Excel PowerPoint

Education

Degrees, certifications, and relevant coursework

Chandigarh University

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 7.03 CGPA

Activities and societies: Organized university fests, led technical and cultural events, supervised student activities, and participated in CSR initiatives.

Completed a Bachelor of Engineering in Computer Science with a focus on analytics, SQL development, and data visualization, graduating with a 7.03 CGPA.