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Data Analyst with less than a year in Excel, 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
Motivated and detail-oriented Data Analyst Fresher with hands-on experience in Excel, SQL, Power BI, and Python through internships and academic projects. Skilled in data cleaning, data analysis, dashboard development, and deriving actionable insights to support business decisions. Looking to contribute analytical and problem-solving skills in an entry-level analyst role.
Acharya Institute Of Graduate Studies, Bangalore
Master Of Computer Application (MCA) · Computer Application
August 1, 2024 – June 30, 2026
AMEs Degree College, Raichur
Bachelor Of Computer Application (BCA) · Computer Application
August 1, 2021 – June 30, 2024
Peeko
Data Analyst Intern
November 1, 2025 – May 1, 2026
India
MastersCampus Academy
Data Analytics Intern
June 1, 2025 – October 1, 2025
India
E-commerce Customer Behavior Analysis
June 24, 2026 – Present
Analyzed 10,000+ order records to identify customer purchasing patterns and revenue trends. Used SQL (JOINs, GROUP BY, subqueries, window functions) to segment customers and calculate KPIs. Identified top 20% customers contributing to 80% of total revenue (Pareto analysis). Calculated metrics like Average Order Value (AOV) and customer repeat rate. Built Excel dashboard to visualize customer trends, retention, and revenue distribution.
E-commerce Data Processing Pipeline
June 24, 2026 – Present
Extracted raw CSV data and performed data cleaning using Python (Pandas). Transformed data into structured format for analysis. Loaded processed data into MySQL database. Wrote SQL queries to analyze cleaned data. Simulated ETL pipeline workflow.
Healthcare Readmission Prediction
June 24, 2026 – Present
Built a Random forest & Xg-boost classifier to predict patient readmission likelihood based on treatment, diagnosis, and demographic data. Achieved 85% accuracy; used SHAP values to explain model predictions to non-technical stakeholders.
Cultural Fit Analysis
The candidate's academic background and internship experiences align well with an entry-level Data Analyst role. The diversity of projects (e-commerce, healthcare) and exposure to various tools (Python, SQL, Excel, Power BI, ML models) suggest adaptability and a willingness to learn. The pursuit of both BCA and MCA degrees indicates a commitment to continuous learning and a strong academic foundation in computer applications, which is beneficial for a data-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences highlight collaboration with team members, documentation of analysis, and presentation of findings, indicating a good operational fit for roles requiring teamwork and clear communication of insights. The focus on improving data quality and reporting efficiency suggests a detail-oriented and results-driven approach.