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Data Analyst with 2+ years in Power BI, ETL & Data Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Data Analyst with 2.5 years of experience in leveraging Power BI, DAX, SQL, and Python to drive business insights and automate data workflows. Proven ability to design scalable data models, develop interactive dashboards, and perform end-to-end ETL processes. Adept at conducting market research and collaborating with stakeholders to deliver actionable intelligence for strategic decision-making.
Panimalar Institute Of Technology
B.Tech · Information Technology
July 1, 2019 – August 1, 2023
IRIS Software
Data Analyst
March 1, 2025 – Present
Chennai, Tamil Nadu, India
Zinnov Management Consulting
Associate Research Executive
October 1, 2023 – November 1, 2024
Bengaluru, Karnataka, India
Python-based ETL pipelines for large datasets
June 24, 2026 – Present
Built scalable Python-based ETL pipelines to extract, cleanse, transform, and process large datasets from multiple sources, improving data quality and automating data preparation workflows.
Intelligent entity matching solution
June 24, 2026 – Present
Developed an intelligent entity matching solution using RapidFuzz and Sentence-BERT to identify duplicate and related records, reducing manual reconciliation efforts and enhancing master data accuracy.
Cultural Fit Analysis
The candidate's experience spans a consulting environment and a software company, indicating adaptability to different organizational cultures. Their project diversity, including ETL pipelines and entity matching, shows a proactive approach to learning and applying new technologies. The listed skills align well with a data-driven culture, emphasizing analytical rigor and business impact.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through stakeholder engagement in both roles. Their experience in gathering requirements and presenting insights indicates good communication and analytical thinking. The focus on data quality and governance suggests an organized and detail-oriented approach to work.