Passionate about transforming raw data into meaningful business insights using analytics and visualization.
π Computer Engineering Graduate (2025) β’ π India β’ π Open to Data Analyst / Data Science / Analytics roles
- π Passionate about Data Analytics and Data Science
- π Interested in business insights, data visualization, and predictive analytics
- π§ Skilled in data cleaning, data exploration, and data storytelling
- π‘ Enjoy solving real-world business problems using data
- π― Career Goal: To build a career where I can use data, analytics, and machine learning to create impactful solutions.
- β‘ Fun Fact: I enjoy turning messy datasets into clean, structured insights and dashboards that tell a story.
- π Data Science & π Advanced Data Analysis with Python
- π€ Machine Learning & π§ Artificial Intelligence
- π Power BI Dashboard Development
π Employee Attrition Analysis (Excel Dashboard)
- Built an interactive HR analytics dashboard to analyze employee attrition across departments, job roles, and age groups.
- Used Pivot Tables, charts, and Excel analytics tools to generate insights for improving employee retention strategies.
π Banking Analytics Project (Python)
- Analyzed a multi-table banking dataset using Pandas for data cleaning and analysis.
- Performed customer segmentation and transaction analysis to identify high-value and risky customers.
π Retail Sales Analysis (SQL)
- Performed advanced SQL analysis on a retail dataset using CTEs, window functions, and aggregations.
- Identified top customers, best-selling products, and sales trends.