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Data Analyst with 2+ years in SQL, Python, Power BI, and ETL processes.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 2+ years of experience in SQL, Python, Power BI, and ETL processes. Skilled in Business Intelligence, data modeling, KPI reporting, dashboard development, and reporting automation to drive data-driven decision-making and operational performance improvement.
Gautam Buddha University
Master of Computer Application (MCA – DS) · Computer Application
July 1, 2022 – July 1, 2024
ITM University
Bachelor of Computer Application (BCA – Hons.) · Computer Application
August 1, 2018 – September 1, 2021
Penguin Technology
Data Analyst
May 1, 2024 – Present
Noida, Uttar Pradesh, India
End-to-End Business Performance Analytics & Automated Reporting System Industrial Project
June 1, 2026 – Present
• Architected an end-to-end analytics solution using SQL, Python, and Power BI on live production datasets. • Built KPI dashboards and automated visualization reports to enhance executive decision-making. • Applied data cleaning, transformation, and modeling techniques to standardize reporting structures. • Improved cross-functional data visibility and reduced manual reporting dependencies.
Python Programming
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project and experience demonstrate a focus on practical, business-oriented data analysis, which aligns well with a results-driven culture. The breadth of tools (SQL, Python, Power BI, Tableau) and experience in automating reports suggest adaptability and a proactive approach to problem-solving. The academic background in Computer Application (MCA – DS, BCA – Hons.) provides a solid theoretical foundation. However, without specific details on team collaboration or diverse project environments, a deeper cultural fit analysis is limited.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach and experience in improving reporting efficiency and cross-functional data visibility, suggesting a good operational fit. The project descriptions indicate an ability to work on end-to-end solutions and automate processes, which are valuable soft skills for a data analyst role. However, without psychometric or English test results, a comprehensive assessment of soft skills, logical reasoning, stress handling, and team collaboration is not possible.