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lisha choudharyLC
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lisha choudhary

@lishachoudhary

Data analyst specializing in analytics, BI dashboards, and data-driven business insights.

United States
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What I'm looking for

I seek a role where I can build scalable analytics pipelines and dashboards, collaborate with stakeholders, and drive data-informed decisions while growing technical expertise.

I am a results-driven data analyst with a Master of Science in Computer Science from Purdue University and hands-on experience delivering BI solutions and analytical insights across higher education and enterprise settings.

I have built and maintained Power BI and Tableau dashboards, written complex SQL to create analysis-ready datasets, and developed end-to-end data pipelines using Python and DuckDB to automate KPI reporting and customer segmentation.

My projects include AI-driven e-commerce analytics, streaming platform analytics, patient satisfaction modeling, music customer segmentation, and supply chain quality control — each demonstrating data validation, statistical analysis, and clear stakeholder communication.

I prioritize reproducible documentation, actionable visualizations, and collaboration with business partners to translate questions into technical solutions that improve operations, retention, and revenue.

Experience

Work history, roles, and key accomplishments

Purdue University logoPU

Student Worker

Nov 2024 - Dec 2025 (1 year 1 month)

Consolidated transactional and feedback data to identify performance trends and recommended data-driven operational improvements; built recurring reports to track revenue, peak-hour demand, and product performance supporting staffing decisions.

Education

Degrees, certifications, and relevant coursework

Purdue University logoPU

Purdue University

Master of Science, Computer Science

Grade: 3.77 / 4

Master of Science in Computer Science with coursework in data analytics, machine learning, algorithms, web development, and software engineering; cumulative GPA 3.77/4.

KT

K S I T

Bachelor of Science, Computer Science & Engineering

Grade: 3.67 / 4

Bachelor of Science in Computer Science & Engineering with coursework in data analytics, machine learning, algorithms, web development, and software engineering; cumulative GPA 3.67/4.

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