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Data Analyst with less than a year in SQL, Python, and Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with expertise in SQL, Python, Advanced Excel and Business Intelligence (BI) tools. Experienced in ETL processes, EDA, data cleaning, data modeling, and building dashboards. Skilled in transforming large datasets into actionable insights to support data-driven decision-making.
APJ Abdul Kalam Technological University
B.Tech. · Computer Science
N/A – June 30, 2025
Amdox Technologies
Data Analyst Intern
October 1, 2025 – December 31, 2025
India
FIFA 19 Player Performance & Market Analysis
December 1, 2025 – December 31, 2025
Cleaned and prepared FIFA 19 dataset with 18K+ player records by validating data types, handling missing values, and transforming market value and wage attributes. Performed exploratory data analysis (EDA) across multiple dimensions including player performance, skills, player value, and potential. Assessed market value trends and player performance indicators to derive insights for player evaluation. Built an interactive Tableau dashboard with global filters and dashboard actions for dynamic user-driven data exploration.
View ProjectUEFA Football Data Analysis
November 1, 2025 – November 30, 2025
Built an end-to-end football analytics project using PostgreSQL, analyzing datasets related to goals, matches, players, teams, and stadiums. Implemented advanced SQL queries using multi-table joins, aggregations, UNION ALL, and window functions (DENSE_RANK) to extract season-wise insights, improving query performance by 30%. Evaluated key player and team performance metrics including goals per match, home vs. away performance, and goal differences. Generated analytical insights to support performance evaluation and strategic sports analytics.
View ProjectGoogle Advanced Data Analytics Professional Certificate
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analysis, particularly in sports analytics, which shows initiative and passion. The internship experience aligns well with a data analyst role, indicating a practical understanding of industry expectations. The breadth of tools and techniques used (SQL, Python, various BI tools) suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic environment. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for mentorship and structured guidance.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to data analysis, from cleaning and preparation to visualization and insight generation. The internship experience suggests an ability to work with real-world data sources and contribute to reporting. However, without direct assessment, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be definitively evaluated.