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Data Analyst with less than a year in Data Analysis, Reporting & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate graduating in 2026, seeking entry-level Data Analyst roles. Strong foundation in data analysis, reporting, SQL, Excel/Google Sheets, dashboarding, trend identification and business insight communication. Comfortable collecting, cleaning, analyzing and interpreting datasets, creating clear reports, checking data accuracy and presenting data-driven recommendations to support smarter business decisions.
Sukriti World School, Delhi
Senior Secondary
N/A – May 31, 2022
Mata Sundri College for Women, University of Delhi
B.Sc. (Hons) · Computer Science
N/A – June 30, 2026
Data Analysis & Reporting Practice
June 18, 2026 – Present
Analyzed sample business datasets using Excel/Google Sheets to clean data, summarize key metrics and identify trends. Created reports with charts, pivot-based summaries and actionable insights for decision-making. Practiced SQL-style data extraction, filtering, grouping and aggregation to convert raw data into readable business outputs. Focused on data accuracy, clear formatting and stakeholder-ready reporting for business review.
Product Audit: Magica - AI Workflow / Task Platform
June 18, 2026 – Present
Reviewed user journeys and identified issues including broken links, unclear outputs, file preview limits and mobile responsiveness gaps. Translated observations into problem statements, improvement recommendations and data-backed product insights. Prioritized user pain points and suggested reporting-style improvements to make outputs clearer and easier to act on.
Academic Research: Trust by Design in Generative AI Tools
June 18, 2026 – Present
Collected and interpreted survey responses to understand how citations, explanations, confidence scores and warnings affect user trust. Converted response data into charts, insight summaries and structured findings for academic presentation and documentation. Identified patterns from user responses and explained findings through simple, decision-focused reporting.
Mastercard Cybersecurity Job Simulation
June 18, 2026 – Present
Analyzed phishing-risk scenarios and communicated security recommendations in a clear, structured and non-technical manner. Strengthened attention to detail, issue analysis and risk-based communication for business users.
Data Analyst Program
One Roadmap
June 1, 2026 – Present
Digital Skills: User Experience
Accenture
June 1, 2026 – Present
Mastercard Cybersecurity Job Simulation
Mastercard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a diverse range of applications for data analysis, from business datasets to academic research on AI trust and product audits. This breadth indicates an adaptable mindset and a willingness to apply analytical skills across different domains. The focus on clear communication and stakeholder-ready reporting aligns well with collaborative team environments. However, the lack of professional experience means cultural fit is primarily inferred from academic projects and certifications, which may not fully reflect real-world team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates good attention to detail, cross-functional collaboration, and communication skills, particularly in translating technical findings into business insights. Project descriptions highlight an ability to structure findings, prioritize user pain points, and provide clear recommendations, which are valuable for operational fit. The academic research project also shows an ability to interpret qualitative data and present structured findings.