Work Process

How We Work

01

Project scoping and objectives

Define project objectives and scope, including the data sources, variables, and time periods involved.

02

Data Exploration

Data cleaning, preprocessing, and validation, conducting exploratory data analysis (EDA).

03

Feature Engineering

Select relevant features, pick suitable algorithms/models based on problem type.

04

Model Evaluation

Evaluate and fine-tune via hyperparameters, address overfitting/underfitting, optimize for generalization.

05

Deployment

Identify production environment, preparation data pipelines development and model deployment.

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