Data Science

sData Science

We deliver end-to-end data science solutions including: Data Engineering, Visualizations & Dashboards, Machine Learning, Model Deployment

Overview of Tech Stack

Here is a glance of the tool-stack that we typically use.

post thumb


The tech-stack we typically use:

  • D3.js
  • Plotly.js
  • Matplotlib
  • Tableau, Power BI, Microsoft Excel, etc.

Data Scraping

post thumb

The tech-stack we typically use:

  • Python
  • Selenium
  • Scrapy
  • Pandas
  • Requests
post thumb

Machine Learning

post thumb

Machine learning, especially with recent advances, can almost certainly bring new opportunities to your business, no matter which field you’re in. One of the reasons machine learning has received so much attention is because it’s being used to power breakthroughs in several seemingly unrelated fields, including:

  • Image processing (for example, facial recognition);
  • Sound processing (for example, auto captioning videos with subtitles);
  • Text processing (for example, translating between different natural languages);
  • Time Series processing (for example, predicting future energy use);
  • Numerical modeling (for example, estimating a fair price for a house, or the probability that a particular customer will buy a certain product).

The tech-stack we typically use:

  • Python
  • Scikit-learn
  • Xgboost
  • Pandas
  • Tensorflow
  • Keras
post thumb

Data-Driven Products

We ship web apps with the tech-stack of your choice, including but not limited to:

  • Svelte
  • Vue
  • Angular
  • React
  • GraphQL (Graphene, Apollo etc.)
  • ExpressJS
  • NodeJS
  • Flask/FastAPI/Django
  • SQLAlchemy
  • Firebase

For mobile apps:

  • Flutter
  • React Native
  • Swift
  • Java/Kotlin

Cloud DevOps

  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Jenkins
  • Ansible


👉 Go to portfolio