Data Analyst with less than a year in SQL, Power BI, and Python
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 Fresher with hands-on experience in SQL, Power BI, Excel, and Python. Skilled in data cleaning, exploratory data analysis (EDA), and building interactive dashboards. Completed multiple projects analyzing sales, customer, and HR datasets to generate data-driven insights. Seeking an entry-level Data Analyst role to apply analytical and problem-solving skills.
NRI Institute of Technology
B.TECH · Electronics and Communication Engineering
N/A – June 30, 2024
E-commerce Customer Analysis (SQL Project)
January 1, 2024 – June 1, 2026
• Wrote complex SQL queries (joins, aggregations) to analyze customer purchase behavior • Identified high-value customers contributing to 30% of total revenue • Suggested targeted marketing strategies to improve customer retention
HR Analytics Dashboard
January 1, 2024 – June 1, 2026
• Built a dashboard to analyze employee attrition trends • Discovered key factors influencing employee turnover (department, salary, experience) • Helped in understanding patterns to reduce attrition
Sales Data Analysis Dashboard
January 1, 2024 – June 1, 2026
• Developed an interactive dashboard using Microsoft Power BI to track revenue, profit, and regional performance • Analyzed 10,000+ records and identified a 15% sales drop in a specific region • Provided actionable insights that could improve sales performance and decision-making
Cultural Fit Analysis
The candidate's academic projects demonstrate a practical application of data analysis skills across different business domains (e-commerce, HR, sales). This diversity suggests an adaptability to various data challenges. The explicit goal of seeking an entry-level Data Analyst role aligns well with the demonstrated skills and project types, indicating a clear career focus. The use of industry-standard tools like SQL, Power BI, and Excel further enhances cultural fit for data-driven organizations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify problems (e.g., sales drop, attrition factors) and propose solutions, suggesting problem-solving and analytical thinking. The focus on dashboard creation implies an understanding of presenting data clearly. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like communication clarity, work attitude, stress handling, and team collaboration is not possible.