Analysis

Measure marketing effectiveness, calculate ROI, attribute conversions, and optimize campaigns with data-driven insights.

Create publication-quality visualizations with Matplotlib and Seaborn using advanced customization and styling.

Create interactive Power BI reports and dashboards with DAX measures, data modeling, and advanced visualizations.

Build predictive models to forecast trends, identify risks, and make data-driven predictions about future outcomes.

Analyze product usage data to improve user experience, increase engagement, and drive product decisions.

Master data analysis with Python using Pandas, NumPy, and data manipulation best practices for efficient data processing.

Perform linear and multiple regression analysis to understand relationships between variables and make predictions.

Automate data reports with Python, SQL, and scheduling tools to deliver consistent, timely insights to stakeholders.

Analyze sales performance, pipeline health, and forecast accuracy to optimize revenue operations.

Analyze text data to extract sentiment, opinions, and emotional tone from customer feedback and social media.

Write efficient SQL queries for data analysis including aggregations, window functions, CTEs, and performance optimization.

Apply statistical methods for business decisions including hypothesis testing, confidence intervals, and significance analysis.

Analyze inventory, logistics, and supplier data to optimize supply chain operations and reduce costs.

Analyze survey data to extract insights from Likert scales, open-ended responses, and demographic cross-tabulations.

Build powerful Tableau dashboards and visualizations with calculated fields, parameters, and advanced analytics.

Analyze temporal data patterns, detect seasonality, and build forecasting models for time-dependent data.

Analyze website traffic, user behavior, and conversion data from Google Analytics and other platforms.