A comprehensive list of Data Science projects we
worked on

BroutonLab has worked on a wide range of Data Science projects, from production-ready SaaS to MVPs and prototypes. Check out the list below for a more detailed look into our experience and expertise, and, hopefully, get inspired to add intelligence to your business with us.

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Automated Basketball Game Analysis

Automated analysis of videos featuring basketball gameplay using Computer Vision models.

python
pytorch
opencv

AI for Resume Parsing and Job Matching

Leveraging NLP and Deep Learning to help a startup optimize job matching. Automated parsing of unstructured resumes to extract useful information about the candidate's experience, skills, and past employment.

python
tenserflow
keras
c++
golang

Backend for Automatic Collection and Processing of Customer Feedbacks

Backend development to power a project about analysis of textual customer feedback and comments. Developed a pipeline to automatically collect and parse reviews and comments about products online.

python
postgres
peewee
fastapi
aws

Sport Video Analytics

Video-based facial recognition solution to generate montages of individual fans enjoying the match. Trained various neural network models for classification (2D and 3D), image captioning for natural language descriptions of fans, audio analytics for background noise removal, etc. Organized the process of data collection and labelling, building pipelines for data processing using Luigi. Deploying the models as microservices with Flask. Models are now actively used in production and have significantly reduced the amount of manual labour.

python
tenserflow
keras
pytorch
pytorch-lightning

Optimization of a Computationally-Intensive Scientific Algorithm

Translating a machine learning algorithm from R to C++ and CUDA. Making it work on multiple GPUs (160x speed increase on 2 GPUs)

r
c++
cuda

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