Data analysis, Machine learning

Data Collection & Cleaning: Gather data from multiple sources and ensure it is accurate, complete, and ready for analysis. Remove duplicates, handle missing data, and standardize formats for seamless analysis.

Exploratory Data Analysis (EDA): Analyze datasets to discover initial patterns, trends, and anomalies. Provide visualizations that offer a clear overview of your data’s story.

Statistical Analysis:  Perform hypothesis testing, regression analysis, and other advanced statistical methods. Deliver results with confidence intervals, p-values, and actionable recommendations.

Predictive Analytics & Modeling: Build and train predictive models using machine learning techniques. Forecast future trends, customer behaviors, and market conditions to guide strategy.

Data Visualization & Reporting: Create interactive dashboards and reports using tools like Tableau, Power BI, or Excel. Present findings in easy-to-understand charts and graphs to support decision-making.