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Data Analyst with less than a year in Power BI, SQL & Python.
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Assessing your cultural and operational fit
Data Analyst skilled in Python, SQL, Power BI, with hands-on experience in data cleaning, EDA and dashboard development. Completed a Data Science internship at Luminar Technolab, building KPI dashboards from real business datasets. MCA graduate seeking a Data Analyst role to drive data-driven solutions.
STAS Edapally, Mahatma Gandhi University, Kerala
Master of Computer Applications · Computer Applications
August 1, 2023 – June 30, 2025
STAS Edapally, Mahatma Gandhi University, Kerala
Bachelor of Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Luminar Technolab
Data Science & Power BI Intern
July 1, 2025 – March 1, 2026
Cochin, Kerala, India
E-COMMERCE ORDER ANALYSIS
July 1, 2025 – March 1, 2026
Dug into a real-world e-commerce dataset to find out why orders were getting delayed, which product categories were selling the most and how different warehouses were performing. Cleaned up messy raw order data using Pandas-handled missing values, removed duplicate entries and fixed inconsistent data formats to make the data ready for analysis. Wrote SQL queries to break down sales by product category and flag shipments that crossed the expected delivery window, warehouse by warehouse.
ONLINE COURSE ANALYSIS
July 1, 2025 – March 1, 2026
Built an interactive Power BI dashboard analyzing 1000+ online courses across platforms like Udemy, Coursera and edX to uncover enrolments, trends and learner engagement patterns. Created DAX measures to calculate KPIs such as total enrolments, average ratings and course count per platform, enabling side-by-side platform comparison. Designed slicers and KPI cards for dynamic filtering by subject, platform and difficulty level, making insights accessible for non-technical stakeholders.
Data Science Internship
Luminar Technolab
March 1, 2026 – Present
Big Data Computing
NPTEL
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills across different domains (e-commerce, online education). The internship experience aligns well with a data-driven culture. The breadth of tools and techniques used (Python, SQL, Power BI, DAX, Pandas, Matplotlib) indicates adaptability and a willingness to acquire new skills, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into business insights and make data accessible for non-technical stakeholders, suggesting good communication and stakeholder management potential. The focus on end-to-end data processes implies a structured and thorough approach to data analysis tasks.