lisha choudhary
@lishachoudhary
Data analyst specializing in analytics, BI dashboards, and data-driven business insights.
What I'm looking for
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
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.
Digital Marketing Analyst
Greenwave IT
Aug 2022 - May 2023 (9 months)
Developed and maintained Power BI and Tableau dashboards measuring daily KPIs and authored complex SQL queries to produce analysis-ready datasets; partnered with stakeholders to translate business requirements into reporting solutions.
Education
Degrees, certifications, and relevant coursework
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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