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Data Analyst with less than a year in SQL, Java, and Excel for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student with a strong foundation in SQL, Java, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
DIT University, Dehradun
B.Tech · Computer Science
August 1, 2023 – June 30, 2027
Bike Sales Dashboard
October 1, 2025 – October 1, 2025
Cleaned and transformed a 1027 row raw bike sales dataset down to 1001 quality records by removing duplicates and errors. Built an interactive Excel dashboard using pivot tables, slicers, charts and aggregated metrics to analyze sales trends and customer demographics. Built 3 pivot reports summarizing Average Income, Count as per age bracket and other per commute distance. Converted raw age ranges (25–89) into demographic segments (Adolescent, Middle-aged, Senior) to improve visual clarity and enable demographic-based sales insights.
Data Cleaning - Global Tech Layoffs Dataset
August 1, 2025 – September 1, 2025
Cleaned and standardized a global layoffs dataset of 2,300+ rows and 23 fields using advanced SQL scripts (window functions, CTE, TRIM, joins). Implemented deduplication logic using SQL window functions, eliminating 12% duplicate noise while retaining correct unique entries. Improving data integrity and preparing a validated dataset of 2,000 records for Exploratory Data Analysis. Identified and fixed missing fields using intra-table join logic to recover 25+ industry values, and safely removed rows with complete missing layoff information.
Java Programming certificate
University of Helsinki
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical data analysis tasks, aligning with a results-oriented culture. The mention of collaboration in the summary suggests a team-player mindset. The projects are diverse enough (layoffs, bike sales) to show adaptability to different data contexts. However, as a student with no professional experience, the depth of cultural fit cannot be fully assessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with datasets, identify issues, and present findings, which suggests a methodical approach to problem-solving. The summary mentions interest in collaborating, indicating potential for teamwork. However, without direct assessment data on soft skills or operational fit, this remains an inference.