Data Analyst with less than a year in SQL, Power BI & Python.
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 hands-on experience in SQL, Power BI (DAX), Excel, and Python. Strong in dashboard automation, data validation, and translating data into actionable business insights.
Galgotias University
B.Tech · Computer Science
January 1, 2021 – January 1, 2025
REKRUTERS
Data Analyst
May 1, 2025 – February 1, 2026
Greater Noida, Uttar Pradesh, India
TATA
Data Analyst Intern
January 1, 2025 – February 1, 2025
null
ACCENTURE
Data Analyst Intern
November 1, 2024 – December 1, 2024
null
American Express - Data Analysis Project
January 1, 2025 – June 1, 2026
Built machine learning models (Logistic Regression, Random Forest) to predict customer risk, improving ROC-AUC by 2%. Performed feature engineering and data preprocessing on large transactional datasets and visualized insights using Power BI dashboards.
Financial Insights Dashboard - Credit Card Transactions
January 1, 2025 – June 1, 2026
Analyzed credit card transaction data using complex SQL queries (JOINs, GROUP BY, window functions). Built end-to-end Power BI dashboards to track spending patterns, transaction trends, and anomaly indicators.
Career Essentials in Data Analysis
Microsoft and LinkedIn
June 1, 2026 – Present
Microsoft Power BI Data Analyst (PL-300)
Microsoft
June 1, 2026 – Present
GenAI Powered Data Analytics Certificate
Tata
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including financial insights and customer risk prediction, along with experience in different companies (REKRUTERS, TATA, ACCENTURE), suggests adaptability. The target role of Data Analyst aligns well with their stated skills and experience. The breadth of skills covers core data analysis tools, indicating a good foundational fit for a data-driven culture. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Data Storytelling, Analytical Thinking, and Problem Solving, which are crucial for a Data Analyst role. The project descriptions and experience show an operational fit through tasks like automating dashboards and identifying bottlenecks, indicating a results-oriented approach. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.