Gautam Kumar

Results-driven and detail-oriented professional with expertise in Python, SQL, Power BI, Excel, and data visualization tools, complemented by a solid foundation in statistical analysis and problem-solving. Passionate about leveraging data-driven insights to enhance business decision-making, with strong skills in business analytics and predictive modeling. Recognized for exceptional organizational abilities and dependability, consistently managing multiple priorities while maintaining a positive attitude. Committed to taking on additional responsibilities to achieve team objectives and drive success.

1 : Sales & Profit Analysis Dashboard on Sample Superstore Dataset (Power BI)

• Analyzed 10,000+ retail transactions from the Sample Superstore dataset to evaluate sales, profit, discount, and customer segments.

2 : Air Quality Analysis in Delhi (2021–2024) using Python

• Collected and analyzed multi-year air quality data (AQI, PM2.5, PM10, NO2, CO, etc.) to assess pollution trends across different months, seasons, and years.

3 : retail online shop

Designed KPI metrics such as Total Sales, Total Customers, Number of Orders, and Return Rate to evaluate overall business performance.

• Identified top 10 best-selling products and top 10 customers by revenue, providing insights into customer segmentation and high-value items.

4 : Exploratory Data Analysis on Forbes 2000 Global Companies Dataset

• Analyzed data of 2000 companies across 9 attributes (Rank, Company, Industry, Sales, Profit, Assets, Market Value, Continent, Headquarters) using Python (Pandas, Matplotlib, Seaborn).

5 : Exploratory Data Analysis & Dashboarding on Airbnb Listings Dataset

• Performed data cleaning and preprocessing on 1,000 Airbnb listings across multiple cities, handling missing values and converting date columns to proper formats for analysis.