Data Analyst with less than a year in SQL, Python, and Power BI
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Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, Power BI, and Excel with hands-on experience in data cleaning, exploratory data analysis, dashboard development, and business reporting. Experienced in analyzing retail, healthcare, and e-commerce datasets using SQL queries, Python libraries, and Power BI visualizations to identify trends and performance insights.
University of Delhi
Bachelor of Arts (B.A.)
August 1, 2022 – June 30, 2026
Heart Disease Analysis
June 23, 2026 – Present
Examined 10,000+ patient records using Python and SQL to uncover 5 key health risk factors linked to heart disease. Cleaned and preprocessed patient data across 14 columns using appropriate techniques for missing numeric and categorical values. Identified age as the strongest risk factor with 60+ age group showing 70% higher heart disease incidence than younger groups.
E-Commerce Sales Analysis
June 23, 2026 – Present
Analyzed 51,289 e-commerce transactions across 16 variables using Python (Pandas, Matplotlib, Seaborn) to identify revenue trends across 4 product categories. Wrote 12 business-focused SQL queries including 2 window functions (RANK, LAG) to uncover top 5 customers, month-over-month revenue changes, and payment preferences. Built a 2-page Power BI dashboard with 6 KPIs and slicers revealing Fashion drives 55% of revenue and Web generates 93% of total sales. Identified 6 actionable business recommendations including November peak demand pattern and mobile platform gap contributing to only 7% of total revenue.
Sales Performance Dashboard
June 23, 2026 – Present
Cleaned and integrated 48,600 sales records across 5 regions analyzing revenue, orders, and product demand. Designed 8 interactive visualizations including bar charts, pie charts, and line graphs highlighting monthly sales trends. Identified top 5 states contributing 60% of total profit margin for targeted regional business strategy.
Introduction to Data Analytics
IBM (Coursera)
January 1, 2026 – Present
Data Visualization Using Python
IBM (Credly)
January 1, 2025 – Present
Data Analytics Essentials
IBM (Coursera)
January 1, 2025 – Present
Python for Data Science
IBM (Credly)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like healthcare and e-commerce, indicating adaptability. The listed skills align well with a Data Analyst role. However, the candidate is still pursuing a bachelor's degree and lacks professional experience, which might impact immediate cultural integration into a fast-paced corporate environment without mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with diverse datasets and derive business insights, suggesting a problem-solving mindset. The academic nature of projects and lack of professional experience means operational fit in a corporate environment is yet to be proven. The candidate has demonstrated initiative through certifications and self-directed projects.