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Data Analyst with 1+ years in SQL & 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
Aspiring Data Analyst with a strong foundation in database programming, data analysis, and reporting. Skilled in analytical thinking, problem-solving, and working with data-driven insights. Adaptable to changing project requirements and eager to apply technical and analytical skills in the banking and financial domain. Proficient in data extraction, reporting, and maintaining accuracy in data handling.
SRTUMN University
Bachelor of Bioinformatics · Bioinformatics
N/A – June 30, 2025
Sales performance Analytics Dashboard (Power BI)
June 20, 2026 – Present
Designed an interactive Power BI dashboard to analyze mobile sales performance across 12+ product categories and 5+ regions. Tracked 50K+ transactions, revenue, customer ratings, and 4+ payment methods. Utilized 15+ DAX measures, KPIs, and slicers to uncover sales trends and deliver actionable business insights.
Data Query Pro-End-to-End SQL Analytics project
June 20, 2026 – Present
End-to-end SQL portfolio project focused on designing and querying a relational database to analyze sales, customers, and inventory data. Applied JOINs, subqueries, CTEs, and aggregations across 10+ tables. Extracted meaningful insights to support analytical reporting.
Data Science & Artificial intelligence program
Electronics and ICT academy, Indian Institute of Technology, Guwahati
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical application of data analysis skills, which aligns with a results-oriented culture. The aspiration to work in the banking and financial domain indicates a clear career interest. The combination of bioinformatics education with data science certification and data analyst projects shows a diverse skill set and a proactive approach to career development. However, the lack of professional experience makes it difficult to fully assess cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's summary highlights analytical thinking, problem-solving, and a data-driven approach. Adaptability to changing project requirements and proficiency in data extraction, reporting, and accuracy in data handling suggest a good operational fit for a data analyst role. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.