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Data Analyst with less than a year in Data Analysis & 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
Motivated Data Analyst fresher with strong technical proficiency in Excel, SQL, and Python. Passionate about analyzing complex datasets, identifying trends, and creating clear, actionable visual reports. Eager to contribute to data-driven decision-making processes and support business growth through analytical excellence.
COCSIT, Latur (SRTMUN)
BSC.CS · Computer Science
N/A – June 30, 2026
Janta Vidyalaya, Yedshi
SSC
N/A – May 31, 2021
R.P. College, Dharashiv
HSC
N/A – May 31, 2023
Sales Data Analysis Dashboard (Excel & Power BI)
June 23, 2026 – Present
Analyzed a dataset consisting of 10,000+ records to uncover business insights. Developed interactive visualizations to track sales trends, profit distribution, and customer segmentation. Transformed raw data into actionable reports to support strategic data-driven decision-making.
Gas Agency Management System (PHP & MySQL)
June 23, 2026 – Present
Developed a web-based application to efficiently manage customer bookings and cylinder inventory. Integrated modules for automated billing and delivery tracking to streamline agency operations.
Cultural Fit Analysis
The candidate's projects show a mix of personal initiative (Sales Data Analysis Dashboard) and academic application (Gas Agency Management System). While the 'Sales Data Analysis Dashboard' directly aligns with a Data Analyst role, the 'Gas Agency Management System' project, though demonstrating technical skills, is more aligned with web development. The breadth of skills listed (Python, SQL, Excel, Power BI, Statistics) indicates a foundational interest in data, which is a good cultural fit for a data-centric organization. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists analytical thinking, effective communication & presentation, teamwork & collaboration, and openness to feedback & continuous learning as soft skills. These align well with the collaborative and analytical nature of a Data Analyst role. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.