Data Science Consulting

Jasal solves some of the most pressing data challenges facing businesses today. No matter how far you are on the analytics maturity curve, Mosaic can provide additional bandwidth or a quick-win to build momentum.Many firms tell us they have data science projects they’d like to start immediately, but they lack the relevant data science expertise or enough data scientists during peak demand times. If that’s your situation, jasal is happy to “rent” you a data scientist (or two) at an hourly rate, with the right skillset, part-time or full-time.Jasal helps companies of all shapes and sizes be more strategic about their use of predictive and prescriptive analytics. We have performed data science assessments for companies in Retail, Supply Chain, Healthcare, Professional Services, Consumer Goods, Financial Services, and Energy.

Our deep expertise developing and deploying decision support capabilities for numerous clients gives us a unique perspective in how to successfully scale and deploy AI/ML.

Why Choose Us

Consulting: Scope identification, feasibility assessment, choice of tools and algorithms
Model generation: Generating the model, testing and refining on basis of validity of output
Performance tuning: Enhancing model and scripts on ongoing basis, over and above model self-learning
Migration: Migration of algorithms, models from one platform to the other, e.g., SAS to R.
Training: Training of business users as well as technical teams on SAS, Python and R

Jasal Data Scientists have skills in a variety of technologies & tools including SAP PA, MS Cortana, R, SAS, Python, SPSS, Weka, MATLAB and others. The span of offerings include data science solutions like car park revenue optimization, queuing analysis, insurance lapse prediction analysis, social media sentiment analysis and others. The CoE also enables custom Data Science consulting and Data Science implementation services for customers across verticals.

Data Science Services

Build, test, and deploy reinforcement learning-based optimization platforms for next-best- action recommendation at scale.
Rapidly build and embed machine learning pipelines in distributed, large-scale web applications.
Deploy custom, continuously-improving deep learning vision models in the cloud. Predict, train, and become more accurate over time.