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Data Analyst with 1+ years in Power BI and SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in end-to-end data analysis, interactive dashboard development, and business intelligence reporting. Proficient in Power BI, SQL, Python, and Excel. Adept at transforming raw data into actionable insights that support data-driven decision-making across business functions.
Parul University
Master of Computer Application – Sp.AI/ML · AI/ML
August 1, 2025 – June 30, 2027
Gujarat University
Bachelor of Computer Application (BCA)
August 1, 2022 – June 30, 2025
QSpiders Institute
Data Analyst
June 1, 2025 – January 1, 2026
Pune, Maharashtra, India
Credit Card Financial Dashboard
June 17, 2026 – Present
Built an interactive Credit Card Financial Dashboard using Microsoft Power BI, SQL, and DAX to analyze revenue, transactions, Customer behavior, and delinquency trends. Created KPI dashboards and dynamic visualizations to monitor key metrics like Revenue (57M), transaction volume (46M), activation rate, And customer satisfaction score (3.19) for business insights. Performed customer segmentation by age, salary, card type, and spending pattern to identify high-value segments.
Shield Insurance Analysis
June 17, 2026 – Present
Built an interactive Power BI Dashboard to analyze customer behavior, revenue trends, and policy performance across cities, age groups, and sales channels. Delivered insights on high-value customer segments (31-40 age group) and top-performing sales channels using DAX measures and KPI visualizations. Tracked revenue growth, customer distribution, and settlement percentage to enable strategic decision-making.
AtliQ Grands Hospitality Analytics
June 17, 2026 – Present
Built a Hospitality Analytics Dashboard using Microsoft Power BI, and DAX to analyze 1.71bn revenue, 135K bookings, and 57.87% occupancy rate. Created KPI dashboards to track ADR, RevPAR, Occupancy %, and 24.83% cancellation rate for hotel revenue and booking analysis. Used Power Query, and DAX for data modeling, transformation, and booking trend analysis across multiple cities and room categories.
Customer Shopping Behavior Analysis
June 17, 2026 – Present
Performed data preprocessing and EDA on customer shopping datasets using Python (Pandas) and SQL. Analyzed purchase behavior, category trends, and review ratings through customer segmentation techniques. Developed an interactive Power BI dashboard to visualize sales trends and consumer insights for business decisions.
Achieved a perfect score of 100% on the Power BI technical assessment, indicating comprehensive knowledge and practical skills in the subject.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity across finance, insurance, hospitality, and retail demonstrates adaptability and a broad interest in applying data analysis skills to different industries. The target role of Data Analyst aligns well with the candidate's stated experience and project focus. However, the psychometric test score suggests potential challenges in areas like teamwork and work attitude, which are important for cultural integration and collaborative environments. The candidate's experience is primarily focused on technical execution rather than leadership or strategic influence, which might be a consideration for senior-level cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights communication, teamwork, and problem-solving as soft skills. The psychometric test score of 259/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for operational fit in a senior role. The English test score of 54/100 indicates a need for improvement in communication clarity and professional language usage.