
M Nfa
@mnfa
Data Analyst at QSpiders who developed interactive Power BI reports and analyzed 10,000 customer shopping records.
What I'm looking for
At QSpiders – Software Training Institute, I applied Python, SQL, Excel, and Power BI to data preparation, analysis, reporting, and visualization. I also used Pandas, NumPy, and Matplotlib for data cleaning and exploratory analysis.
For my Customer Shopping Behavior & Sales Analysis project, I analyzed 10,000 customer shopping records and built three interactive dashboard pages with KPI cards, DAX measures, slicers, and trend visualizations. I’ve also worked on analytics projects covering laptop prices, vehicle theft, and HR data.
Experience
Work history, roles, and key accomplishments
Data Analytics Intern
QSpiders – Software Training Institute
Apr 2026 - Oct 2026 (6 months)
Applied Python, SQL, Excel, and Power BI to practical data preparation, analysis, reporting, and visualization tasks. Developed Power BI reports using Power Query, DAX measures, KPI cards, slicers, and interactive charts.
Data Analytics Intern
SmartBridge Educational Services & APSCHE
Jan 2025 - Feb 2025 (1 month)
Completed a Data Analytics virtual internship involving data analysis and visualization using Tableau. Practiced dataset preparation, exploratory analysis, trend identification, and Tableau dashboard development.
Performed exploratory data analysis to identify patterns, trends, and business insights from datasets. Prepared analytical findings and visualizations to communicate results clearly.
Education
Degrees, certifications, and relevant coursework
Ideal Institute of Technology
Bachelor of Technology, Computer Science and Engineering
2022 -
Pursuing a Bachelor of Technology in Computer Science and Engineering from 2022 to 2026.
Sri Chaitanya Junior College
Intermediate, MPC
2020 - 2022
Completed Intermediate education with a focus on Mathematics, Physics, and Chemistry from 2020 to 2022.
Narayana E-Techno School
SSC, General
Completed Secondary School Certificate (SSC) in 2020.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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