Data Science
Accelerator Program

Our Data Science Accelerator Program enables organizations to unlock maximum data science value faster and cheaper

What is the Data Science Accelerator Program?

Data Science Accelerator Program is a 2-3 week accelerated data science engagement for quickly extracting the value from a data science problem without putting a big investment at stake

Framing the data science problem

Initial Data Cleansing

Initial Data Normalization

Initial Feature Enginneering

AutoML modelling

Here is a quick video explaining the program

Benefits

Most data science projects have significant proportion of research and uncertainty involved. This makes it critical for us to be able to do more with less time and resources

Save time

Faster delivery of value

More experiments

Freedom to try more use cases because of low cost

Lower risk

Lower data science investment risk

Save cost

Lower cost per use case

We deliver use cases faster than others using our use case accelerators. Here are some examples of accelerators

Safety Detection

Just Listen

Smart IVR

Just Scanner

Retail Genome

Brand Recognition System

Car Damage Recognition System

Demand Forecasting

FAQ

Empowering your Business to be Future Ready

Do I get a deployable module at the end of the accelerator?

Yes. You get a deployable model as a result of the accelerator

What type of data science problems do you solve under the DSA program?

All types of data science problems. Here are few examples:

Sales forecasting
Defect detection automation
Operations monitoring using CV
Chatbot
Predictive maintenance
Churn prediction
Recommender engine
Campaign propensity modelling
Fraud detection
OCR and Form recognition
Brand recognition using CV
Workplace safety detection
Audio analytics
Text analytics: Sentiment, intent, compliance
Retail computer vision: Stock out detection

What all do you do in the accelerator?

For classic ML problems like forecasting, propensity modelling, predictive maintenance and churn prediction, we do the following

Exploratory data analysis
Data cleansing
Feature engineering
AutoML modelling

We do multiple iterations of the above framing the problem on different granularity levels and in different ways

For computer vision problems

Data labelling
Training
Optimization

What is not covered in DSA program?

DSA program is a no-frills accelerated data science project. Therefore we do not cover the following

1. Automated retraining pipeline
2. Drift detection
3. Model explainability
4. Model deployment
5. Event driven alerts
6. Custom modelling
7. Dashboarding

These are all done as part of Data Science Deep Dive

How long is the DSA program?

2-3 weeks depending on the use case

Make the most of your Data

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