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Data with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with practical experience in data analysis and visualization using Excel, SQL, Power BI, and basic Python. Skilled in data cleaning, transformation, and creating insightful dashboards. Completed a FIFA 2021 mini project involving data exploration and visualization to identify trends and patterns. Eager to apply analytical skills in a professional environment and contribute to data-driven business solutions.
University of Calicut Kerala
Masters · Mathematics
N/A – Present
University of Calicut Kerala
Bachelor degree · Education
N/A – Present
FIFA 2021 - Player Analytics (Mini Project)
June 19, 2026 – Present
Import and transformation cleaned data from Excel to Power BI. Set cardinality between the tables to have connection between them. Used buttons and bookmarks to enhance the reports interactive and user friendly. Maintained consistent formatting and color schemes for neat and professional report layout.
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Cultural Fit Analysis
The candidate's academic background in Mathematics and Education, combined with a recent certification in AI-Driven Data Analytics, suggests a strong learning orientation and adaptability. The FIFA project indicates an interest in applying analytical skills to real-world (albeit academic) scenarios. The target role of 'Credit Risk Data Analyst' requires a high degree of precision, ethical considerations, and potentially collaboration with financial domain experts. While the candidate shows foundational data skills, the lack of specific finance or risk management experience, and limited project diversity, means the cultural fit for a specialized financial role is currently moderate. Further assessment would be needed to determine alignment with a fast-paced, regulated financial environment.
Soft Skills & Operational Fit
The candidate lists analytical skills, attention to detail, and communication skills. The project description shows an ability to create user-friendly and professional reports, which aligns with operational needs for clear data presentation. However, without direct work experience, the practical application of these soft skills in a professional team environment is unproven.