Galadh Analytics empowers organizations with data-driven insights. We specialize in analyzing complex datasets to uncover hidden patterns and trends. Our team of skilled data scientists leverages advanced statistical modeling and machine learning techniques to provide actionable insights and forecasts. By visualizing data and building predictive models, we help you make informed decisions and support decision-making processes.

Our data science services include:

• Generalized Regression Models (GLM)

  GLM is a statistical technique that extends linear regression to accommodate various response variable distributions. It's ideal for analyzing both continuous and discrete data, providing valuable insights into complex relationships.

• Time Series Analysis

  Time Series Analysis is a powerful statistical technique that helps us understand and forecast trends in data that changes over time. Whether it's energy market trends, sales figures, or climate patterns, we can identify patterns, trends,and seasonal variations to make informed predictions.

• Machine Learning

  Machine Learning empowers your data to learn and adapt, unlocking valuable insights. Our models analyze vast datasets to identify patterns, make predictions, and automate decision-making processes.

We harness the power of open-source tools like R and Python to deliver innovative data science solutions. Our team leverages these versatile languages to analyze complex datasets, build predictive models, and uncover valuable insights. By utilizing open-source technologies, we offer cost-effective and flexible solutions tailored to your specific needs.

Mathematical optimization is a powerful technique that helps us find the best possible solution to complex problems. By formulating real-world challenges as mathematical models, we can identify optimal strategies and decisions given the real world constraints. Whether it's maximizing profits, minimizing costs, or optimizing resource allocation, our optimization services provide data-driven solutions that drive efficiency and success. In Galadh Analytics we develop optimization models tailored for client’s unique decision-making needs.

This services include:

• Linear programming

  Linear programming is a powerful mathematical technique used to optimize linear objectives subject to linear constraints. It's a cornerstone of operations research and finds applications in various fields from business and public policy to engineering problems.

• Non-linear programming

  Nonlinear programming is a powerful optimization technique that extends beyond linear constraints. It allows us to tackle complex, real-world problems with non-linear objectives and constraints.

We develop our optimization models in the Python programming language, utilizing both open-source and commercial solvers. Some of the open-source packages employed by Galadh Analytics include HiGHS, SCIP, and IPOPT, enabling cost-effective model development and deployment. For more complex problems, Galadh Analytics can provide clients with optimization models developed using commercial solvers.

At Galadh Analytics, we offer comprehensive simulation services to help you understand and optimize complex systems. By creating digital replicas of real-world scenarios, we can explore various possibilities and predict future outcomes. Our team of experts utilizes advanced simulation techniques to analyze and model intricate systems, from supply chains to healthcare networks.

Simulation allows us to test different strategies, identify potential bottlenecks, and assess the impact of various factors. By running multiple simulations, we can uncover valuable insights and make data-driven decisions.

Our simulation services can help you:

• Mitigate Risks

  Assess potential risks and develop contingency plans.

• Innovate and Experiment

  Test new ideas and strategies without real-world consequences.

We use simulation package simul8 to build the simulated version of the system, that is in interest of our client.