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Data Analyst with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in data analysis, SQL querying, and dashboard development, skilled in transforming raw data into actionable business insights. Proficient in Python (Pandas, NumPy), Power BI, and Excel, with experience in data cleaning, reporting automation, and KPI tracking. Strong understanding of statistical analysis, data validation, and business intelligence concepts, aiming to drive data-driven decision-making.
The candidate scored 100% on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating full proficiency in the evaluated Power BI skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving approach to data analysis, aligning with roles requiring actionable insights. The breadth of tools (SQL, Python, Power BI, Excel) and application areas (finance, customer churn) suggests adaptability. However, the experience level is 0, and the education is ongoing, which might impact immediate senior-level cultural integration without mentorship. The psychometric test score could indicate areas for growth in team dynamics or work attitude.
Soft Skills & Operational Fit
The psychometric test score of 281/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score of 76/100 indicates good communication clarity, grammar, and professional language usage. The resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', 'Attention to Detail', and 'Data Interpretation' as soft skills, which align well with a Data Analyst role.