I am an MBA student specialising in Data Science and Business Analytics with a strong interest in applying analytics to real-world business and finance problems. I have hands-on experience in Python, SQL, Power BI, and e…
I am an MBA student specialising in Data Science and Business Analytics with a strong interest in applying analytics to real-world business and finance problems. I have hands-on experience in Python, SQL, Power BI, and exploratory data analysis through academic projects and virtual internships. I have worked on projects involving data cleaning, EDA, dashboard development, and basic machine learning concepts, focusing on deriving meaningful insights from data. I am currently enhancing my practical exposure by working on structured analytics projects and continuously improving my technical and analytical skills. I am eager to learn from industry environments, contribute through data-driven insights, and grow as a data professional through internship opportunities.
Supported website optimization and digital content improvements
Coordinated between business and technical teams for requirement implementation
Assisted in reporting and basic analytics for operational decision-making
Supported website optimization and digital content improvements, Coordinated between business and technical teams for requirement implementation, Assisted in reporting and basic analytics for operational decision-making
Performing data cleaning, transformation, and exploratory data analysis (EDA) on real-world datasets
Working with Power Query, Python (Pandas), and visualization tools
Analyzing US Natural Disaster (FEMA) data to identify trends, regional impact, and time-based patterns
Presented analytical insights during weekly stakeholder review and mentoring sessions
Performing data cleaning, transformation, and exploratory data analysis (EDA) on real-world datasets, Working with Power Query, Python (Pandas), and visualization tools, Analyzing US Natural Disaster (FEMA) data to identify trends, regional impact, and time-based patterns, Presented analytical insights during weekly stakeholder review and mentoring sessions
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