Data Analyst with 1+ years in Data Cleaning & Visualization
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and Aspiring Data Analyst with hands-on knowledge of Excel, Basic SQL, Power BI, and Power Query. Skilled in data cleaning, data analysis, dashboard creation, and transforming raw data into meaningful insights. Completed projects involving data visualization and reporting, demonstrating strong analytical and problem-solving abilities. Eager to apply technical skills and continuously learn in a dynamic, data-driven environment as an entry-level Data Analyst.
NIELIT (National Institute of Electronics & Information Technology)
Certificate · Data analytics
August 1, 2026 – Present
Maharishi Dayanand university
B.Tech CSE · Computer Science Engineering
August 1, 2019 – June 30, 2023
CANARA BANK
Apprentice
March 1, 2025 – March 1, 2026
Delhi, Delhi, India
Sales Performance
June 18, 2026 – Present
Sales Performance Dashboard (Power BI) * Cleaned and transformed sales data using Power Query. * Created KPIs for Revenue, Profit, and Sales Growth. * Built interactive dashboards with slicers and filters. * Generated visual reports for business decision-making.
Cultural Fit Analysis
The candidate's profile shows a clear interest in data analytics, aligning with the target role. The personal project demonstrates initiative and self-learning. The apprentice role, while not directly data analysis, shows an ability to work in a structured environment. The breadth of skills is somewhat narrow, focusing primarily on Microsoft tools for data analysis. The candidate's stated eagerness to learn suggests a positive attitude towards growth and adaptation.
Soft Skills & Operational Fit
The candidate's experience as an Apprentice at CANARA BANK indicates exposure to daily operations, data entry, and customer handling, which suggests a foundational understanding of operational processes and customer interaction. The resume also lists teamwork, communication skills, and problem-solving as strengths. However, the depth of these soft skills in a data analysis context is not explicitly demonstrated.