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Data Analyst with 1+ years 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
Detail oriented Data Analyst with hands on experience in Python, SQL, and Power BI. Holds a Bachelor of Engineering in Electronics and Communication Engineering with a CGPA of 8.08. Proficient in data collection, data cleaning, exploratory data analysis, and building interactive dashboards to generate actionable business insights. Certified Data Analyst trained by QSpiders with project experience in sales analytics and statistical analysis.
Rohini College of Engineering and Technology
Bachelor of Engineering · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
E-Commerce Sales & Customer Analytics Dashboard
July 1, 2025 – June 1, 2026
Built a 4-page Power BI dashboard using Star Schema, Power Query, and DAX. Developed KPIs for Sales, Profit, Orders, Customers, and Profit Margin. Created Sales, Product, Customer, and Executive dashboards with interactive slicers and navigation. Generated business insights through customer segmentation, product profitability, and regional performance analysis.
Titanic Survival Analysis
July 1, 2025 – June 1, 2026
Conducted end to end Exploratory Data Analysis (EDA) on the Titanic dataset using Pandas and NumPy. Performed data preprocessing including handling missing values, outlier detection, and feature engineering for clean analysis. Created data visualizations using Matplotlib and Seaborn to illustrate survival patterns across gender, passenger class, age, and fare. Derived insights on socioeconomic factors influencing survival outcomes and communicated findings through clear analytical reporting.
Credit Default Risk Analysis
July 1, 2025 – June 1, 2026
Performed Exploratory Data Analysis (EDA) on the Home Credit Default Risk dataset (Kaggle) containing personal, financial, employment, and credit history data. Analyzed patterns and relationships within the dataset to understand key factors influencing loan default behavior among applicants. Handled data challenges including missing values, imbalanced classes, categorical variables, and outliers through structured preprocessing and feature analysis. Generated visualizations to illustrate risk distribution across customer segments and communicated insights to support data driven loan approval decisions.
Data Science Certification
QSpiders
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and foundational skill set in data analysis, which aligns well with a Data Analyst role. The diversity of projects (finance, e-commerce, general survival analysis) shows a breadth of application for their analytical skills. The certification from QSpiders further indicates a proactive approach to skill development. However, the lack of professional experience means their adaptability and collaboration skills in a corporate environment are yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to communicate insights through analytical reporting and visualizations, suggesting good communication skills. The focus on end-to-end analysis and problem-solving in projects points to a detail-oriented and analytical work attitude. However, without specific assessment scores for psychometric or English tests, a comprehensive evaluation of soft skills and operational fit is limited.