Machine Learning

At Plank, we’re committed to creating the next generation of engineers who are as obsessed with computer science as we are.

Machine Learning

sprint cycle

The Plank machine learning lab consists of dedicated teams of data scientists, data engineers and mlops engineers that work with innovative technology companies on their most difficult challenges.

Step 1
Business problem formulation
  • Interviewing stakeholders and documenting research
  • Objective formulation of business problem along with key metrics
  • Defining successful outcome concretely
Excel,Wiki
Step 2
Data cleaning and data pipeline engineering
  • Consolidation of input data sources and schema
  • Data analysis to assess missing data, mistyped data
  • Creation of consolidated / clean schema of data
  • Creating data pipelines 
  • Deploying data pipeline and batch jobs to populate data lake
ETL,DBT,Apache Spark,Snowflake
Step 3
Data Science & Model training
  • Creating training, test, validation datasets
  • Formulating model experiments and tracking model performance
  • Tuning of model hyper-parameters
  • Optimization of model performance
Pytorch,Pandas,Scikit-learn,Tensorflow
Step 4
ML model coding and deployment
  • Implementation of prediction API endpoints
  • Creation and deployment of model microservices
  • Tracking of model performance
  • Setup regular model retraining
  • Model versioning
MLFlow,Kubernetes,Kubeflow,Sagemaker
Step 5
Model AB testing
  • Integration with data warehouse and analytics services for continuous model performance evaluation
  • Defining model variants and AB testing experiments
  • Mapping model performance to key business metrics
Python,SplitIO
Step 6

Customer Showcase

Migo

Migo
Machine Learning

Migo is an embedded lending platform that enables companies to extend credit to consumers and small businesses in their own apps. Migo builds proprietary ML algorithms to assess credit risk using the company’s data then automates credit facilities via cutting-edge cloud infrastructure, simplifying the complex world of lending with a simple API. Raised $50million from TPG, Valor Capital, and Nyca Partners

Engineers we’ve worked with

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Matias Lee

Machine Learning
Machine Learning
Matias Lee

PhD in Computer Science from National University of Cordoba

  • ex-Instructor of Machine Learning at National University of Cordoba
  • 10 years experience in data science and machine learning
  • Chief Data Science Officer in multiple companies
  • Publications: https:// scholar.google.com/citations? user=eWYixqsAAAAJ&hl=en
Data Science

Data Science

Accelerate your career in data science by building a strong foundation in cutting-edge technologies in the field, learning software development best practices, and working closely with senior engineers on real world data science projects.

Technology

Project Management & Tools

Data Science

Data Science

Accelerate your career in data science by building a strong foundation in cutting-edge technologies in the field, learning software development best practices, and working closely with senior engineers on real world data science projects.

Technology

Project Management & Tools

Data Science

Data Science

Accelerate your career in data science by building a strong foundation in cutting-edge technologies in the field, learning software development best practices, and working closely with senior engineers on real world data science projects.

Technology

Project Management & Tools

Pytorch
Pandas
Scikit-learn
Pytorch
Pandas
Scikit-learn
Data Science
Data Science
Pytorch
Pandas
Scikit-learn
Tensorflow
MLFlow
Kubernetes
Kubeflow
Sagemaker
Python
SplitIO
Pytorch
Pandas
Scikit-learn
Tensorflow
MLFlow
Kubernetes
Kubeflow
Sagemaker
Python
SplitIO