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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with less than a year in Data Analysis & Visualization
Results-driven Data Analyst with expertise in data analysis, reporting, and data visualisation using tools such as Microsoft Power BI, Tableau, Excel, SQL, and Python. Skilled in collecting, cleaning, and analysing complex datasets to generate actionable insights, develop interactive dashboards, and support strategic business decision-making. Experienced in KPI reporting, trend analysis, forecasting, and performance monitoring, with a strong foundation in statistical analysis, machine learning concepts, and predictive analytics. Adept at transforming raw data into meaningful visual reports that improve operational efficiency, business performance, and stakeholder communication.
Mysore College of Engineering and Management
B.Tech / B.E. · Computer Science and Engineering (CSE)
N/A – June 30, 2026
Cosmic Vista International
Data Analyst – Reporting & Data Visualisation
January 1, 2026 – June 1, 2026
Bengaluru, Karnataka, India
Bank Origination Analytics & Portfolio Performance
June 23, 2026 – Present
Analysed loan origination data (applicant details, credit scores, income) to identify approval patterns and key risk factors. Built origination funnel reports and Power BI dashboards tracking KPIs like delinquency rate and vintage trends to support underwriting decisions.
Customer Churn Prediction
June 23, 2026 – Present
Built a classification model using logistic regression and decision trees to predict customer churn, identify high-risk segments, and support data-driven retention strategies.
Child Abuse Dashboard
June 23, 2026 – Present
Designed an interactive dashboard to visualise child abuse trends across regions and age groups, transforming raw data into clear insights for awareness and policy support.
US International Travel Dashboard
June 23, 2026 – Present
Analysed US international travel data to identify tourist inflow trends and seasonal patterns, presenting findings through an interactive Power BI dashboard with dynamic filters.
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' exam, indicating a strong grasp of the core concepts and skills evaluated.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest in applying data analysis to various domains (finance, customer behavior, social issues, travel). The single work experience, while short, aligns directly with the target role. The candidate's core competencies listed on the resume cover a wide range of data analysis and business intelligence skills, suggesting adaptability and a willingness to engage with diverse data challenges. The psychometric test score, however, raises some concerns regarding potential cultural fit aspects like team collaboration and work attitude, which would require further investigation.
Soft Skills & Operational Fit
The psychometric test score is below average (226/500), which may indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score (68/100) suggests communication clarity and professional language usage are adequate but could be improved. The candidate's resume highlights experience in stakeholder communication and insight presentation, which is a positive for operational fit.