Big Data and Analytics

Data Mining and Analysis

Extract and analyze large datasets to uncover hidden patterns, market trends, and customer preferences. We use Hadoop, Apache Spark, and MongoDB for handling large datasets, with a focus on big data processing, statistical analysis, and machine learning.

Predictive Analytics

Use historical data to predict future trends, helping businesses in decision-making, forecasting, and risk management. We leverage Tools like SAS, R, and Python libraries (pandas, NumPy) for forecasting trends, necessitating skills in statistical modeling, data visualization (Tableau, PowerBI), and algorithm development.

Business Intelligence (BI)

Implement BI tools for data visualization, reporting, and dashboarding to make informed business decisions. We leverage Implementation of BI tools such as Microsoft Power BI, Tableau, and Qlik for data-driven decision-making, with competencies in data warehousing, dashboard development, and SQL.