Anuj Mahajan

Business Analysis | Data Analytics

Talent

PuneMember since 26 June 2026

KPI ReportingData ModelingMySQLApache KafkaAzure Data Lake Gen2Requirement GatheringAcceptance CriteriaFunctional DocumentationUAT

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KPI ReportingData ModelingMySQLApache KafkaAzure Data Lake Gen2

About

B.Tech (AI & Data Science) undergraduate with proven internship experience spanning database engineering, business requirement gathering, data pipeline development, and analytics. Proven ability to translate stakeholder needs into structured technical solutions — from MS SQL database design at a clinical SaaS company to real-time data pipelines in a hospitality environment. Familiar with the Microsoft ecosystem including Power BI, Azure, and SQL Server.

Comfortable working at the intersection of business analysis and technology: gathering requirements, mapping processes, building data-driven solutions, and communicating outcomes to non-technical stakeholders.

Experience

Data Analyst Intern at Clindox (India) Pvt. Ltd. (2026-01 – 2026-05)

Conducted structured requirement gathering sessions with pharmaceutical clients to translate clinical study protocols into detailed business requirements documents and normalized database schemas — core business analysis workflow.
Performed As-Is process mapping of existing data capture workflows and designed To-Be database structures (stored procedures, validation rules, audit trails) to meet FDA compliance and governance standards.
Coordinated UAT cycles with clinical stakeholders, documented defects, tracked resolution, and validated final database deployments — end-to-end testing experience in a live SaaS environment.

Data Engineering Intern at NILE Hospitality (2025-06 – 2025-08)

Collaborated with business stakeholders to identify process automation opportunities in hotel operations; contributed to ERP digitization initiative reducing estimated paper-based tasks by ~30%, demonstrating direct Digital Transformation impact.
Designed and implemented a real-time data pipeline (MySQL → Apache Kafka → Azure Data Lake Gen2) for clickstream analytics — enabling automated, near-real-time KPI reporting across business units.
Produced workflow documentation and data transformation logic for the data engineering team; ensured reproducibility and stakeholder clarity — experience directly applicable to Power Platform solution documentation.