Data Analyst with less than a year in SQL, Excel, and data visualization, seeking to apply analytica
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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.
Mata Sundri College for Women, University of Delhi
B.Sc. (Hons) Computer Science · Computer Science
N/A – June 30, 2026
Sukriti World School
Senior Secondary (Class XII)
N/A – May 31, 2022
Data Analysis & Reporting Practice
January 1, 2026 – June 1, 2026
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.
Academic Research: Trust by Design in Generative Al Tools
January 1, 2026 – June 1, 2026
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.
Product Audit: Magica - Al Workflow / Task Platform
January 1, 2026 – June 1, 2026
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.
Mastercard Cybersecurity Job Simulation
January 1, 2026 – June 1, 2026
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 academic projects show a diverse range of interests, from product auditing and cybersecurity simulations to academic research on AI trust. This breadth suggests an adaptable individual open to different problem domains. The focus on clear reporting and stakeholder communication aligns well with a collaborative work environment. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate setting. The projects are all academic, which is expected for an entry-level candidate, but limits insight into real-world team dynamics and project management.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through project descriptions, focusing on clear, structured, and non-technical explanations. Project work indicates an ability to translate observations into problem statements and recommendations, which is valuable for operational fit. The academic research project on 'Trust by Design in Generative AI Tools' suggests an analytical mindset and ability to interpret complex user responses. However, without actual work experience, the ability to handle stress, collaborate in a team, and apply logical reasoning in a professional setting remains to be fully validated.