What's included

• Data Analytics

  Comprehensive data analysis reports with actionable insights. Data visualization dashboards (e.g., Power BI, Tableau, or custom Python/Excel-based) to track KPIs. Ad hoc analysis to answer specific business questions or identify trends.

• Data Science

  Predictive models to forecast trends, customer behavior, or sales. Statistical analysis to evaluate the significance of business data. Data preprocessing pipelines to clean, transform, and prepare data for further use.

• Machine Learning

  Custom machine learning models for classification, regression, recommendation systems, etc. Model performance evaluation reports (accuracy, precision, recall, etc.). Deployment-ready models integrated into a production environment, including APIs or cloud services.

• Operations Automation

  Automated workflows to improve operational efficiency (e.g., data ETL processes, report generation). Automation scripts to streamline repetitive tasks (using Python, SQL, or RPA tools). Documentation and training for implementing and maintaining automated systems.

• Customer Support

  Technical support and troubleshooting related to implemented solutions. User training sessions or guides on using data tools, dashboards, or models. Ongoing maintenance and updates to models, dashboards, or automated systems to ensure they meet evolving client needs.