Data Science

Master your Data Pipeline

Data Science

Creating business value from data is our passion. We do that through expertise in the following, and more.

  • R
  • Python
  • SAS
  • SQL
  • Golang
  • Java
  • Scala
  • Julia
  • C/C++

  • Tooling
  • D3
  • OpenCV
  • Tableau
  • Qlik
  • Tibco
  • MixPanel
  • Redshift
  • Google BigQuery
  • Hadoop
  • Hive
  • Tensorflow
  • Torch
  • Theano
  • Caffe
  • SAS

  • Methods
  • Data Cleaning
  • Business Intelligence
  • A/B and Multivariate Testing Techniques
  • Simulation
  • Feature Selection
  • Machine Learning
  • Data Mining
  • Statistical Modeling
  • Optimization
  • Multimedia Analysis
  • Data Anlytics
  • Predictive Models
  • Prescriptive Models
  • Bioinformatics
  • Clustering
  • Logistic Regression
  • Deep Learning
  • Neural Networks
  • Adversarial Networks
  • Stages of Excellence with Data Science

    Data-Model-Goal Fit

    Pull your stakeholders together to figure out why you're taking a data sciece approach to your goals. Identify the internal and external data sources available to you. Explore those data sets with rudimentary models to begin to understand the power different approaches may have in meeting your strategic goals.

    Model Refinement

    With one or more candidate models identify, understand and apply available levers to tune the model to the data you have. Data cleansing, feature selection, parameter tuning, and adversarial techniques may be helpful here.

    Model Deployment

    Deploying a model to production involves connecting real-time data sources, real-time user reporting and analytics tools, and optimizing the runtime against the costs and risks specific to the context.

    Learn more about our other practice groups.

    Quality software delivery requires more than one skill set. Click to read more.


    Contact Us

    info at daylight data dot com