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Amulya ReddyAR
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Amulya Reddy

@amulyareddy1

Deloitte-trained data analyst turning complex datasets into board-ready insights and zero-error reporting.

India
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What I'm looking for

I’m looking for a role where I can deliver board-ready analytics, build reliable ETL + dashboards, and turn messy datasets into actionable insights—balancing accuracy with fast, stakeholder-ready communication.

I’m a Deloitte-trained data analyst skilled in transforming complex, multi-source datasets into comprehensive executive reports and actionable business insights. From structured dashboards to narrative-ready findings, I focus on clarity, accuracy, and decisions that stakeholders can trust.

In my Deloitte virtual work, I engineered a 3-tier Excel classification engine that categorized 100+ compensation records across 4 factory sites with 100% rule accuracy—zero manual sorting. I quantified fairness-score distribution gaps and delivered a board-ready insight report, translating statistical outputs into stakeholder narratives under consulting-grade time constraints.

Through Tata Group’s Forage experience, I applied a 5-step data-cleaning protocol to reduce duplicates and null values by ~15% and built pivot dashboards across tenure bands and job families for HR stakeholders. I also completed Gen AI-powered data analytics simulation to accelerate structured insight generation and drive data-driven recommendations.

My analytics strengths extend beyond reporting: I cleaned over 10,000 e-commerce transactions, resolving an 18% error rate, and developed Tableau dashboards to identify Q4 spikes for strategic reallocations. I also analyzed 5,000+ accident records to find 3 highest-risk corridors and a peak risk window (6–9 PM, wet-road), supported by a reusable Python ETL pipeline that processes new monthly data in under 10 minutes.

Experience

Work history, roles, and key accomplishments

DE

Data Analytics Analyst (Virtual)

Deloitte

Feb 2026 - Mar 2026 (1 month)

Engineered a 3-tier Excel IF/AND/ABS classification engine to categorize 100+ compensation records across 4 factory sites with 100% rule accuracy, producing an audit-ready pay-equity report. Quantified fairness-score distribution gaps across sites and delivered board-ready stakeholder insights under consulting-grade time constraints.

TG

Data Analytics Virtual Analyst

Jan 2026 - Present (5 months)

Applied a 5-step data-cleaning protocol to an employee compensation dataset, reducing duplicates and null values by ~15% and building pivot dashboards across three tenure bands and four job families for HR stakeholders. Completed a GenAI-powered analytics simulation using LLM-assisted insight generation to produce data-driven recommendations.

Education

Degrees, certifications, and relevant coursework

MW

Mallareddy College of Engineering for Women

Bachelor of Technology (B.Tech), Computer Science Engineering

2022 - 2026

Completed a B.Tech in Computer Science Engineering with coursework including Database Management Systems, Statistical Methods, Data Structures & Algorithms, and Machine Learning fundamentals.

Tech stack

Software and tools used professionally

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