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Data Analyst with less than a year in SQL, Python, 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 skilled in SQL, Python, and Power BI with experience in KPI reporting and building dashboards. Strong in translating business requirements into data-driven insights with high data accuracy.
Pune University
B.E Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
N/A – June 30, 2025
Sales Performance & KPI Dashboard
October 1, 2025 – October 31, 2025
Sales performance and KPI visibility was limited due to scattered data and manual reporting. Built SQL queries and Power BI dashboards to analyze revenue trends and regional performance. Automated reporting and improved visibility into key business metrics for better decisions.
Adventure Works Business Intelligence Dashboard
September 1, 2025 – September 30, 2025
Integrated 25K+ order records to analyze customer behavior and sales trends. Identified key product performance patterns through data exploration and analysis. Delivered insights through structured reports improving visibility into business performance.
Jenson's Cycles Sales Reporting & KPI Analysis
June 1, 2025 – June 30, 2025
Analyzed 20K+ sales records to identify performance patterns and revenue trends. Built SQL queries to extract insights and track key business metrics. Generated structured analytical reports enabling data-driven business decisions.
Data Analytics Mentorship Program
WS CUBE TECH
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a clear interest in data analysis and business intelligence, aligning with the target role of Data Analyst. The diversity of projects (sales reporting, BI dashboards, KPI analysis) indicates a broad understanding of data analysis applications. However, all projects are personal, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The candidate is still pursuing education, indicating a foundational stage in their career.
Soft Skills & Operational Fit
The candidate lists soft skills such as Requirement Gathering, Stakeholder Management, Cross-functional Collaboration, Gap Analysis, and Problem-Solving. While these are relevant for a Data Analyst role, there is no direct evidence or examples in the provided projects to validate the application of these skills in a professional setting. The projects are personal and academic in nature, limiting the assessment of operational fit.