As a recent Computer Science graduate, I specialize in bridging the gap between technical data analysis and strategic business goals.
I am a hybrid analyst skilled in data-driven problem-solving, whether that means using Python and SQL to analyze complex datasets or defining clear business requirements (BRDs, UML, User Stories).
This portfolio details my projects, professional experience, and core competencies. I am actively seeking a full-time role where I can empower your organization to make smarter, data-driven decisions.
- Built a core recommendation logic by analyzing 500k+ transactions using Python (Pandas and Mlxtend Apriori algorithm).
- Proved project ROI by simulating an A/B test and building a Tableau KPI dashboard, achieving a +6.29% lift in AOV and +4.84% lift in Conversion Rate.
- Managed the full project lifecycle, identifying the core business problem (Low AOV) and authoring key BA artifacts (BRD, As-Is/To-Be, FRS, User Stories).
- Performed complete data cleaning and analysis on Diwali sales data using Python (Pandas), Advanced Excel (Pivot Tables), and MySQL.
- Identified key business insights, such as top customer segments (Females 26-35) and high-value states (UP, MH), to inform future marketing strategy.
- Developed and published an interactive Tableau dashboard to visualize all findings for non-technical stakeholders.
- Developed comprehensive BRDs, SRSs, and User Stories from stakeholder requirements in an Agile/Scrum environment.
- Conducted market analysis using Excel and presented data-driven recommendations to enhance their educational website and management system.
- Created UML/BPMN process models and managed the project backlog using Jira.
- Managed the full recruitment cycle, handling all communication for US-based stakeholders and candidates.
- Organized and tracked all recruitment data and candidate pipelines using MS Excel and Google Sheets.
Data Analysis (Python)
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Databases
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Data Visualization
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BA & Design Tools
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Methodologies
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Process Modeling
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Core BA Skills
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