Factored built a user-friendly pipeline so that images from Google Street View could be utilized to predict the feasibility of building aerial fiber on specific roads. This delivered insights to a Private Equity Fund that informed the acquisition of telecommunications (telco) assets for $7.5 billion USD.
To retrieve images from the internet given a set of coordinates for a telecom company to assess the feasibility of building aerial fiber in new areas.
Factored built a process of checking image availability and estimating the costs associated with downloading the images. We produced CSV files containing the predictions of the feasibility of building aerial fiber on specific roads. The company was able to use this information and apply it to advise on the acquisition of telco assets for $7.5 billion USD.
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Tech Stack & Skills:
PySpark, Google Street View, PyTorch, fast.ai, Boto3.
Parallel Computing, API Integration, Image Classification, Model Transformation, Module Packaging.
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