Associate Data Analyst with strong SQL, Excel, and Data Visualization skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate and backend software engineer transitioning into an entry-level Data Analyst role. Strong foundation in SQL, PostgreSQL, MySQL, data validation, reporting logic, and database-backed applications, with practical experience working on API-first systems and production data flows. Comfortable with Excel, Google Sheets, SQL queries, basic data visualization, documentation, and analytical problem-solving. Available for immediate joining and open to remote opportunities.
Sagar Institute of Science & Technology, Indore
MCA · Computer Applications
August 1, 2020 – June 30, 2022
Medicaps University
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August 1, 2017 – June 30, 2020
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SQL & Excel Reporting Practice
June 24, 2026 – Present
Practiced SQL queries for filtering, joining, grouping, aggregating, and summarizing structured datasets. Used Excel/Google Sheets for data cleaning, duplicate checks, sorting, filtering, pivot summaries, and chart-based reporting. Built basic dashboard-style summaries to understand business metrics such as counts, trends, category-wise performance, and status-wise reporting.
Backend Data Handling Experience
June 24, 2026 – Present
Worked with PostgreSQL-backed applications where data accuracy, validation, API response correctness, and database query reliability were important. Collaborated with product/frontend teams to understand requirements, debug data-related issues, and validate API outputs.
Cultural Fit Analysis
The candidate is transitioning from a backend software engineering role to an entry-level data analyst position, showing adaptability and a clear career pivot. Their personal project in SQL & Excel reporting demonstrates initiative and a genuine interest in data analysis, aligning with a culture that values self-starters. The professional experience, while not directly in data analysis, involves data handling and validation, which are transferable skills. The breadth of skills, including both technical and analytical, suggests a versatile individual who could integrate well into a data-driven team.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning new data analysis tools and processes, indicating good self-motivation. Their experience in backend development suggests an understanding of structured problem-solving and debugging, which are valuable for data analysis. Collaboration with product/frontend teams indicates an ability to work cross-functionally. The candidate is an immediate joiner and open to remote work, which offers operational flexibility.