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Data Analyst with less than a year in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in Excel, SQL, Python and Power BI with hands-on experience in data cleaning, analysis, visualization and dashboards development. Proficient in transforming raw data into actionable insights through academic projects. Currently pursuing MCA and seeking entry-level Data Analyst or Business Analyst opportunities.
Customer Data Analysis
June 1, 2026 – Present
Performed data cleaning and exploratory data analysis (EDA) on customer datasets using Python. Generated visualizations to identify customer purchasing patterns and business insights.
Sales Performance Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboards to analyze sales trends, regional performance and product KPIs. Utilized SQL queries and Excel functions (Pivot Table, VLOOKUP) for data cleaning and analysis.
Smart Farm Management Application
June 1, 2026 – Present
Developed a farm management desktop application with login and dashboard features. Managed farmer, crop, income and expense records using MySQL database.
MSCIT- Maharashtra State Certificate for Information Technology
Unknown
June 1, 2026 – Present
Data Analytics and Business Analytics
Naresh IT
June 1, 2026 – Present
Python Programming
PM USHA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical application of data analysis skills, which aligns with a results-oriented culture. The pursuit of an MCA degree while also gaining certifications shows a commitment to continuous learning. The diversity of projects (customer data, sales performance, farm management) indicates adaptability and a broad interest in applying data skills across different domains. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-reported soft skills.
Soft Skills & Operational Fit
The candidate lists analytical thinking, attention to detail, problem-solving, communication, and team collaboration as soft skills. These are highly relevant for a Data Analyst role. The academic project experience suggests an ability to work on structured tasks and deliver defined outputs, which aligns with operational requirements for entry-level roles.