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.
Visualization
The tech-stack we typically use:
- D3.js
- Plotly.js
- Matplotlib
- Tableau, Power BI, Microsoft Excel, etc.
Data Scraping
The tech-stack we typically use:
- Python
- Selenium
- Scrapy
- Pandas
- Requests
Machine Learning
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
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