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Data Analyst with 1+ years in Power BI, SQL & 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
To gain practical experience through an internship in data analytics or business intelligence. To apply my skills in MySQL for data management and POWER BI for visualization and reporting. To learn from real-world projects and enhance my analytical and problem-solving abilities. To contribute effectively to the organization's data-driven decision-making process.
Jiwaji university
BCA
August 1, 2025 – Present
pitambara school
12th
June 1, 2022 – Present
M.I.P.S
10th
June 1, 2020 – Present
Insta Dot Analytics
Data Science Intern
July 1, 2025 – December 31, 2026
Indore, Madhya Pradesh, India
Pizza Sales Data Analysis
June 30, 2026 – Present
Created a database to manage pizza sales data including order, customers, and sales revenue. Analyzed sales trends, top-selling pizza flavors, and peak ordering items using SQL queries.
Super Store Sales Analysis
June 30, 2026 – Present
Designed and developed interactive Power BI dashboards to analyze sales, profit, and customer data.
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a foundational interest in data analysis, which aligns well with a Data Analyst role. The projects cover sales analysis, indicating a business-oriented approach to data. The internship at 'Insta Dot Analytics' suggests an interest in a professional, data-driven environment. The breadth of tools and technologies explored (Power BI, MySQL, Python, Excel, Machine Learning) indicates a proactive learning attitude. However, as an entry-level candidate, the diversity of real-world project experience is limited to academic settings and an ongoing internship.
Soft Skills & Operational Fit
The candidate lists analytical thinking, teamwork, problem-solving, and communication skills. The internship description mentions working on data cleaning and visualization, and learning about machine learning, which indicates a willingness to learn and apply new skills. The academic projects show an ability to complete defined tasks. However, without specific examples of collaboration or problem-solving in a professional setting, the depth of these soft skills is not fully evident.