About
Results-driven entry-level Data Analyst with hands-on experience building end-to-end analytics solutions using SQL, Python, Power BI, Tableau, and Excel. Completed multiple industry-grade projects across sales, HR, retail, and public health analytics, with a focus on cleaning data, building dashboards, and generating actionable insights.
Experience
-
Data Analytics & Machine Learning InternIIM SKILLS
Collected, cleaned, and transformed website traffic and user engagement data. Designed relational data models and created SQL databases. Developed SQL queries for reporting and business analysis. Built Power BI dashboards connected to SQL databases. Performed exploratory data analysis and user behavior analysis. Applied K-Means clustering to segment users and generate insights.
Education
- 2025
-
Professional Certification CourseData Analytics
Skills
Tools / apps / platforms
Projects
-
Tableau
Built a Tableau dashboard analyzing 8,807 Netflix titles to reveal content growth, genre distribution, and global streaming trends.
-
Tableau, Excel
Designed an interactive Tableau dashboard visualizing pandemic trends, vaccination impact, and country-level insights across 25 nations.
-
Python (Pandas, Matplotlib, Seaborn), Power BI
Performed end-to-end exploratory data analysis on 30,000 sales records and built Power BI visualizations to uncover seasonal trends and business performance metrics.
-
Power BI, DAX, Star Schema
Created a Power BI attrition dashboard using a star schema and DAX measures to identify employee turnover trends and key workforce insights.
-
MySQL, Power BI, DAX
Developed a normalized MySQL database and interactive Power BI dashboard with SQL-driven insights, KPI tracking, and trend analysis for 10,684 sales records.
-
Excel 365, Pivot Tables, Power Query
Built an executive sales dashboard by cleaning 42,736 records and analyzing 5 years of performance using Power Query, Pivot Tables, and dynamic KPIs.
Courses & certifications
- Data Analytics — Professional Certification Course
🏆 Achievements & awards
-
Processed and analysed over 100,000+ data records across 5 independent analytics projects
Key achievement highlight.
-
Built dashboards in 4 tools — Excel, Power BI, Tableau, and Python visualizations
Demonstrated cross-platform BI expertise.
-
Identified high-impact business insights including attrition risk drivers, seasonal revenue spikes, and B2B sales channel dominance
Key analytics impact highlight.
-
All projects publicly available on GitHub
Demonstrated version control and documentation best practices.