Data Analyst with less than a year in SQL, Power BI & Excel
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 a strong background in computer applications and practical experience using SQL, Python, Excel, and Power BI. Skilled in data cleaning, pattern discovery, quality validation, and translating data into meaningful insights. Experienced in quality management, contributing to process optimization and improved customer satisfaction.
Sage University Indore
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
DAVV (Devi Ahilya Vishwavidyalaya)
Bachelor of Commerce (B.Com)
August 1, 2020 – June 30, 2023
Sales Performance Dashboard
June 16, 2026 – Present
•Built an interactive Power BI dashboard tracking 12+ KPIs including revenue, growth rate, and regional sales •Integrated multi-source data and used DAX functions to produce calculated metrics, reducing manual reporting time •Identified top 3 product categories driving 65% of revenue, enabling data-backed strategic decisions
Financial Data Analysis
June 16, 2026 – Present
•Queried and analyzed 3 years of financial records using SQL joins, aggregations, and subqueries •Automated monthly reports in Excel using VLOOKUP, INDEX-MATCH, pivot tables, and conditional formatting •Visualized profitability and cost trends through dynamic charts, improving data accessibility for stakeholders
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in data analysis and visualization, aligning with the target role. The blend of technical skills (SQL, Python, Power BI, Excel) and a B.Com background suggests a good foundation for understanding business contexts. However, the lack of professional experience and limited project diversity (both academic) might indicate a need for more exposure to real-world team dynamics and diverse problem sets to fully assess cultural fit in a professional setting.
Soft Skills & Operational Fit
The candidate lists soft skills such as Analytical Thinking, Communication, Team Collaboration, Attention to Detail, Quick Learner, and Adaptability. These align well with the collaborative and analytical nature of a Data Analyst role. The project descriptions indicate an ability to translate data into insights and improve reporting efficiency, suggesting a practical and results-oriented approach.