Sanika Kamble

Built an interactive Power BI dashboard to monitor KPIs including ROI, revenue, conversion rate, and cost-per-lead across 10+ marketing campaigns. Wrote 15+ DAX measures for dynamic KPI calculations including MoM growth, campaign efficiency ratios, and budget utilization. Identified top 3 high-performing campaigns contributing 65% of total revenue, enabling better budget allocation decisions.

Cleaned and preprocessed weather data using Pandas and NumPy, handling missing values and preparing the dataset for analysis. Performed Exploratory Data Analysis (EDA) to identify temperature trends, seasonal patterns, and statistical insights using descriptive analytics. Developed visualizations with Matplotlib and Seaborn to present key findings, enabling clear interpretation of weather patterns and data-driven insights.

Cleaned and analyzed a two-year retail sales dataset using Python, Pandas, and NumPy, handling missing values and performing exploratory data analysis (EDA). Built visualizations using Matplotlib and Seaborn to evaluate product performance, store-wise sales, customer segments, and the impact of discounts on profitability. Generated actionable business insights by identifying high-performing product categories, underperforming stores, and weekend sales trends, with recommendations to improve profitability and sales performance.

In progress

Preparing

Basic & Intermediate (target: Q3 2026)