Forecast is a project management and resource planning tool that leverages artificial intelligence to automate administrative tasks, improve project planning, and optimize resource allocation. It helps teams manage projects, track progress, and predict future workload and budget needs.

About Forecast
Forecast was created in 2016 to address inefficiencies in project management and resource planning. It utilized artificial intelligence to automate tasks and improve the accuracy of project forecasts. The tool aimed to help organizations better manage their projects, allocate resources effectively, and predict future needs with greater precision.
Strengths of Forecast included its AI-driven automation, intuitive interface, and comprehensive project management features. Weaknesses involved a potential learning curve for new users and higher costs compared to simpler tools. Competitors included Asana, Trello, and Microsoft Project.
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How to hire a Forecast expert
A Forecast expert must have skills in project management, resource planning, and data analysis. Proficiency in using AI-driven tools and software integration is essential. Familiarity with project management methodologies like Agile or Scrum is also beneficial.

Juscimara G.
Skills
This candidate possesses a robust academic foundation in Computer Science, complemented by a Master's degree and ongoing doctoral studies in the same field. With extensive experience in Data Science projects concentrated on Machine Learning applications, they have demonstrated proficiency in a wide array of tools including pandas, numpy, scipy, matplotlib, seaborn, sklearn, pytorch, and various AutoML frameworks such as H2O and TPOT. Current roles include leading AI initiatives focused on vulnerability analysis in information systems and conducting research on imbalanced regression problems. Previous engagements encompass collaborative research on time series and machine learning for renewable energy generation forecasting, as well as academic positions teaching critical computer science subjects, reflecting a strong blend of practical and theoretical expertise.

Gustavo J.
Skills
A Chemical Engineer with a specialization in Pharmacometrics transitioning into Data Science, this candidate possesses advanced skills in clustering, classification, regression, and forecasting using statistical and neural network methodologies. Holding a leadership role as a Data Scientist at PLIN Energy, notable achievements include the development of a forecasting algorithm that significantly improved prediction accuracy while reducing error rates, alongside designing scalable APIs. Previous leadership experiences include serving as Student President for AIChE-Maringá, where strategic decision-making and cultural initiatives were implemented successfully, and as Legal and Financial Director at CONSEQ, where the candidate oversaw substantial financial growth and established the organization as a model within the Junior Companies Movement. This professional foundation is complemented by an education in Chemical Engineering and certifications in Data Science and advanced English proficiency.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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