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Data Analyst with less than a year in Python, SQL & 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
An Undergraduate Data Analyst with a strong foundation in Python, SQL, Excel and Power BI. Experienced in data cleaning, exploratory data analysis (EDA), visualization, and statistical analysis, with exposure to machine learning techniques. Passionate about transforming data into actionable insights to support data-driven decision-making.
Saveetha School Of Engineering
BE · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Sri Chaitanya College
Class XII
June 1, 2019 – May 31, 2021
E-commerce Order Analysis
January 1, 2025 – June 1, 2026
Analyzed 10K+ order records using advanced SQL (joins, aggregations, subqueries) to uncover customer and product insights. Identified top 20% products contributing ~60% of total revenue using Pareto analysis. Segmented customers to highlight repeat buyers and high-value customers, improving targeting insights. Built an interactive Power BI dashboard with KPIs (revenue trends, customer retention, product performance). Optimized data model and queries, improving reporting efficiency and dashboard performance.
Customer Sales Analysis
January 1, 2025 – June 1, 2026
Cleaned and transformed raw sales dataset (5K+ records) using Pandas (handling missing values, duplicates, formatting). Performed exploratory data analysis to identify sales trends, seasonal patterns, and top-performing products. Discovered top 10 customers contributing significant revenue share, supporting business prioritization. Developed dynamic Excel dashboards using Pivot Tables, slicers, and charts for interactive.
Introduction to Data Analytics
IBM (via Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a practical application of data analysis skills across different business scenarios (e-commerce, customer sales), indicating versatility. The focus on identifying top-performing products/customers and improving targeting insights aligns with a business-driven analytical mindset. The candidate is currently an undergraduate, which suggests a learning-oriented and adaptable individual, potentially fitting well into a team that values continuous growth. The absence of professional experience means cultural fit is primarily inferred from project choices and self-learning initiatives.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights and improve reporting efficiency, suggesting a results-oriented approach. The use of Jupyter Notebook and Google Colab implies familiarity with collaborative data science environments. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling, team collaboration, or work attitude.