Data Analyst Intern with less than a year in Python, SQL, Tableau, and Power BI for data projects.
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BCA student with hands-on experience in Python, SQL, Tableau, and Power BI - building end-to-end data projects that turn raw data into clear business insights. Worked on real datasets of 400,000+ records, delivering actionable decisions through interactive dashboards. Actively seeking a Data Analyst internship where I can contribute from day one.
Sanskar Institute Of Management
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2022 – June 30, 2025
Mews High School
Higher Secondary (12th) · Science Stream
June 1, 2020 – May 31, 2022
Port Operations Dashboard
January 1, 2026 – January 1, 2026
Designed a structured dataset of 500 vessel records simulating real port operations across 8 columns including cargo type, operator, and payment status. Built an interactive Excel dashboard using Pivot Tables and Slicers to track 97.80L in total port charges across 6 cargo types and 5 departments. Identified 11.38L in overdue charges and revealed department-wise distribution across 3 major operators – Adani Ports, JM Baxi Group, and Mundra Shipping Services.
View ProjectStore Analysis Dashboard
January 1, 2025 – January 1, 2025
Analyzed retail dataset across 1,000+ stores using Python to uncover revenue drivers and operational inefficiencies. Discovered owned stores generate 6.7% higher revenue than corporate stores, and stores with 10 checkout counters earn 4.5x more than single-counter stores. Visualized multi-factor insights in an interactive Tableau dashboard enabling data-driven store performance evaluation.
View ProjectOnline Order Revenue Analytics System
January 1, 2025 – January 1, 2025
Analyzed 400,000+ raw online order transactions using SQL and Python to uncover revenue patterns, return losses, and customer behavior. Applied Pareto analysis confirming top 20% customers (867 users) drive 75% of total revenue, directly shaping customer retention strategy. Identified a single product causing 1,68,469 in silent revenue loss through returns, visualized findings in an interactive Power BI dashboard.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate initiative and a practical application of learned skills. The diversity of projects (online orders, retail stores, port operations) shows a broad interest in applying data analysis across different domains. The stated goal of contributing from day one as an intern suggests a motivated and eager-to-learn individual, which generally aligns well with an internship culture. However, without further information on collaboration or extracurricular activities, a deeper cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on delivering business value through data. The ability to work with diverse datasets and tools suggests adaptability. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.