I have hands-on experience working with Microsoft Excel, SQL and Python to analyse real-world datasets, with a strong focus on building correct analytical logic, validating assumptions and extracting meaningful insights.…
I have hands-on experience working with Microsoft Excel, SQL and Python to analyse real-world datasets, with a strong focus on building correct analytical logic, validating assumptions and extracting meaningful insights.
In Excel, I have designed interactive dashboards and KPIs using structured tables, dynamic formulas and time-based feature engineering (month to quarter). My work emphasizes accuracy under edge cases, such as correctly identifying top performers when multiple entities share the same performance level and distinguishing between activity volume and true business value.
Using SQL, I query and structure transactional data through joins, aggregations and filters to efficiently answer business questions and validate analytical outputs. With Python, I perform data cleaning, transformation and exploratory analysis using libraries such as pandas, enabling scalable analysis and automation beyond spreadsheets.
Across tools, I approach problems with analytical rigor, curiosity and attention to detail, prioritizing clarity, correctness and business relevance in every analysis while continuously seeking to deepen my technical and analytical capabilities.
Led student representation
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Enhanced student engagement and skill development
Led initiatives to promote technology awareness
Fostered a collaborative learning environment
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