Khushi User
@khushiuser8
Data scientist in training specializing in ML, NLP, and data-driven business insights.
What I'm looking for
I am a data scientist in training with strong foundations in statistics and practical experience building ML and visualization solutions. I hold an M.Sc. in Statistics and Data Science and have applied statistical and machine learning techniques across industry projects and internships.
At Eli Lilly I developed interactive Power BI dashboards, built Power Apps integrated with PostgreSQL, and automated workflows with Power Automate, reducing routine manual effort by 40%. At Yoga Bar I used Python and Tableau for Six Sigma–led operational analysis, cutting manual reporting time by 30%.
My projects include NLP-based text summarization using BART (achieving a ROUGE-1 F1 of 0.71) and end-to-end customer segmentation pipelines using K-Means. I am motivated to deliver actionable insights, automate processes, and build scalable data products.
Experience
Work history, roles, and key accomplishments
Data Analytics Intern
Eli Lilly and Company
Jan 2025 - Jul 2025 (6 months)
Developed interactive Power BI dashboards and Power Apps integrated with PostgreSQL, and embedded Power Automate flows that reduced manual effort for routine tasks by 40%.
Operations Analyst Intern
Yoga Bar
May 2024 - Jul 2024 (2 months)
Performed Six Sigma-driven data analysis using Python and built a Tableau dashboard that improved operational visibility and reduced manual reporting time by 30%.
Education
Degrees, certifications, and relevant coursework
Narsee Monjee Institute of Management Studies
Master of Science, Statistics and Data Science
2023 - 2025
Grade: 3.87/4
Pursuing M.Sc. in Statistics and Data Science with a CGPA of 3.87/4 from July 2023 to May 2025.
Patna Women’s College
Bachelor of Science (Honours), Statistics
2019 - 2022
Grade: 9.69/10
Completed B.Sc. Honours in Statistics with a CGPA of 9.69/10 from July 2019 to May 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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