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Data Analyst with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with a Bachelor's degree in Statistics and hands-on training in Excel, SQL, Python, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis, statistical analysis, and dashboard development. Eager to apply analytical and problem-solving skills to support data-driven business decisions.
Kannur University
Bachelor of Science (BSc) · Statistics
August 1, 2022 – June 30, 2025
Sales Performance Dashboard
June 27, 2026 – Present
Built interactive Power BI dashboards to analyze revenue, profit, and sales trends for business insights. Used Microsoft Excel Pivot Tables and charts for sales analysis and reporting.
Exploratory Data Analysis
June 27, 2026 – Present
Performed data cleaning and exploratory data analysis on real-world datasets. Identified trends, patterns, and anomalies to generate actionable, data-driven insights.
Customer Data Analysis
June 27, 2026 – Present
Queried relational datasets using SQL joins and aggregations to analyze customer purchasing patterns.
Advanced Diploma in Data Analytics with Generative AI
Unknown
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (sales, customer, general EDA) shows a breadth of application for data analysis skills. The target role of Data Analyst aligns well with the candidate's stated skills, education, and project experience. The inclusion of Generative AI in certification suggests an interest in modern analytical approaches, which could be a good cultural fit for an innovative team. However, the lack of professional experience makes it challenging to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive learning attitude through self-initiated projects and certifications. The focus on data-driven insights suggests an analytical mindset. However, without professional experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.