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Data Analyst with 3+ years in SQL, Power BI & Tableau.
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, Excel, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), data modeling, and KPI dashboard development. Adept at transforming raw datasets into actionable business insights. Certified in Google Data Analytics with a strong foundation in statistical analysis and data visualization.
RGM Engineering College
B.Tech · Civil Engineering
August 1, 2022 – June 30, 2022
EazyBytes
Data Analyst Intern
January 1, 2023 – Present
India
Customer Purchase Data Analysis
January 1, 2023 – June 1, 2026
Analyzed 10,000+ customer transaction records using SQL and Excel to uncover purchase patterns and seasonal trends. Performed data cleaning, deduplication, and EDA; identified 3 high-value customer segments contributing to 60% of revenue. Delivered actionable insights that supported a 15% improvement in targeted marketing campaign performance.
Sales Performance Dashboard
January 1, 2023 – June 1, 2026
Designed an interactive sales dashboard using Pivot Tables, slicers, and dynamic charts tracking 8 KPIs across 4 regions. Automated monthly reporting using Power Query and XLOOKUP, saving 6+ hours of manual work per month. Dashboard adopted by the sales team for weekly performance reviews and target tracking.
Google Data Analytics Certificate
June 1, 2026 – Present
SQL for Data Science
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's transition from Civil Engineering to Data Analytics, supported by certifications and practical projects, indicates adaptability and a strong drive for career development. Their project diversity, including customer purchase analysis and sales performance dashboards, aligns well with typical data analyst responsibilities. The breadth of skills (SQL, Excel, Power BI, Tableau, Python, EDA, ETL) suggests a versatile individual capable of contributing to various data-centric initiatives.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through data analysis projects and an ability to improve efficiency. Their experience in creating dashboards and reports for business stakeholders suggests good communication of technical insights. The psychometric test score is 0, which means there is no data to evaluate logical reasoning, work attitude, stress handling, or team collaboration.