
Khushi User
@khushiuser18
I turn HR, sales, and operations data into actionable dashboards and insights.
What I'm looking for
I've built Power BI, Tableau, Excel, and Python analyses across HR, sales, and call-operations data, including dashboards for Adidas US sales, workforce attrition, and call-centre performance.
Currently, I deliver hands-on data analytics training at SKLZ TECT LLP, helping learners use Python, SQL, Power BI, and Excel while pursuing an MCA in Data Science.
Experience
Work history, roles, and key accomplishments
Assistant Trainer – SME (Data Analytics)
SKLZ TECT LLP
Jan 2026 - Jul 2026 (6 months)
Delivered data analytics training sessions and hands-on labs covering Python, SQL, Power BI and Excel. Designed practice datasets and exercises, reviewed submissions, and provided feedback to learners.
Technical Intern (Data Analysis & App Development)
Udhmodya Foundation, University of Delhi
Aug 2025 - Mar 2026 (7 months)
Analyzed operational and user data for the Kabad Hatao startup to generate business-growth insights. Cleaned and maintained backend datasets, supported app development/testing, and prepared Excel summaries on user activity.
Performed EDA and risk profiling with AI-assisted tools. Delivered a data-storytelling business report with AI-driven strategies.
Built Tableau dashboards and Excel reports on business data. Completed data-classification and forensic-technology case projects.
HR Data Analytics Intern
E&ICT Academy, IIT Kanpur
Jun 2025 - Aug 2025 (2 months)
Built interactive Power BI dashboards on attrition, headcount and demographics from workforce data cleaned in Power Query. Developed advanced Excel models and presented insights on attrition drivers and employee trends.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
MCA, Data Science
2026 -
Pursuing MCA in Data Science, currently in Semester 1, with expected completion in 2028.
University of Delhi
B.Sc., Computer Science
2023 - 2026
Grade: CGPA 7.24
Completed B.Sc. in Computer Science with a CGPA of 7.24.
S.K.V No-1, Sagarpur
Senior Secondary, Science
Grade: 83%
Completed Senior Secondary (PCM) with 83%.
S.K.V No-1, Janakpuri
Secondary, General
Grade: 85%
Completed Secondary education with 85%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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