Data Analyst with less than a year in Data Analysis & Power BI
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Highly motivated and results-oriented junior data analyst with 8 months of internship experience. Proficient in leveraging Microsoft SQL Server, Excel, and Power BI to transform raw data into actionable business insights. Skilled in data cleaning, modeling, and visualization, with a strong foundation in Python and Django for web development. Eager to contribute analytical skills and continuous learning to impactful data projects.
Navrachana University
BCA · Computer Application
August 1, 2023 – June 30, 2026
Rishabh Software
Data Analyst Intern
January 1, 2026 – June 1, 2026
India
Brainybeam Info-Tech Pvt. Ltd.
Python with Django Intern
June 1, 2025 – July 1, 2025
India
Gaming Addiction Analysis
June 1, 2026 – June 1, 2026
Built an end-to-end Power BI dashboard analyzing gaming addiction patterns across 250+ user records sourced from a structured CSV dataset. Designed a star schema data model with 1 fact table and 6 dimension tables (User, Location, GameProfile, Mental Health, Financial, Addiction) with active relationships and referential integrity. Handled real-world data quality issues and developed 43 DAX measures.
Pizza Sales Analytics Dashboard
May 1, 2026 – May 1, 2026
Developed a 4-page interactive Power BI dashboard analyzing 48,620 pizza order records. Designed a star schema data model with 1 fact table and 4 dimension tables (dim_pizza, dim_date, dim_category, dim_size), establishing all Many-to-One relationships with referential integrity. Performed end-to-end data cleaning in Power Query and authored 20+ DAX measures. Applied Domino's brand theme to produce a professional dashboard.
View ProjectSmartRetail Pvt. Ltd. Report
May 1, 2026 – May 1, 2026
Built a 4-page Supply Chain Analytics Dashboard in Power BI on 6 datasets covering 5,000+ orders, 12 suppliers, and 6 warehouses. Designed Star Schema data model with 5 dimension tables, 2 fact tables, and 7 active relationships.
AI Workforce Displacement Analysis
April 1, 2026 – April 1, 2026
Analyzed AI-driven workforce displacement across 80 countries, 10 sectors, and 7 years (2020-2026) using a 20,800-record dataset. Designed 1 fact table + 4 dimension tables with many-to-one relationships and referential integrity. Developed 28 DAX measures covering KPIs, YoY trends, gender gap, automation risk, wage premium, and reskilling efficiency.
Tata - Data Visualisation: Empowering Business with Effective Insights Job Simulation
Tata
June 1, 2026 – Present
Tata - GenAI Powered Data Analytics Job Simulation
Tata
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like retail, gaming, pizza sales, and AI workforce displacement, indicating a broad interest in applying data analytics to various business problems. The internships, though short, show an initiative to gain practical experience. The Python/Django internship, while not directly related to data analysis, shows a willingness to explore different technical areas. The certifications further highlight a commitment to continuous learning and skill development, which aligns well with a culture of growth and adaptability.
Soft Skills & Operational Fit
The candidate's resume mentions 'Continuous Learning', 'Team Collaboration', and 'Time Management' as soft skills. These are crucial for operational fit in a data analyst role, indicating a proactive and collaborative mindset. The academic projects demonstrate an ability to work independently on complex analytical tasks.