• Market Analysis and Consumer Insights: Economic Forecasting and Customer Segmentation• Financial Analysis and Planning: Revenue and Cost Analysis, Investment Analysis• Operational Efficiency: Process Optimization, Supply Chain Management• Product and Service Development: Market Demand Analysis, Pricing Strategy• Risk Management: Risk Assessment, Mitigation Strategies• Data-Driven Decision Making: Predictive Analytics, Performance Metrics• Competitive Strategy: Competitive Analysis, Market Positioning

Business Intelligence, Predictive Analytics, ROI studies, SEO recommendations and improvements, Google Analytics, Productivity Automation, Dashboards with Power BI, Ad hoc reporting requests via Sql Server and R, Daily/Weekly/Monthly business reporting requirements, Web Scraping, Word Clouds, Sentiment Analysis, Recency, Frequency, and Monetary Analysis, Population plots, Customer Lifetime Value Analysis, Market Basket Analysis, Linear Regression, Logistic Regression, Classification Algorithms, Supervised Learning, Predictive Models, Natural Language Processing. The use of R, Laravel, Cold Fusion, JScript, python, economics, statistical analysis, clustering, and data mining blended together to bring new tools meeting business requirements and database updating. Analyze data for trends and patterns and interpret data with a clear objective in mind. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.

Analyzing disparate data, automation of reports, sentiment analysis, machine learning, n-grams, predictive analytics, ad hoc requests, RFM's, capacity analysis, SEO, web-scraping, and process improvements.

Data Science team, Data Analytics team, Pentaho Developer

Business Planning & Analytics team