Data Science Consultation

Our experts help companies identify the potential of their data and build custom data science services to meet their business objectives.

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This Data Science Consultation Can Help You Plan:

1. Exploring what you can do with your raw data and get started on your data strategy within 24 hrs.

2. Discovering solutions that data can bring to your process by transforming raw numbers into answers you can apply in business.

3. Preparing a plan to apply data analytics, machine learning models, and algorithms to decipher your data.

4. Building an analytics implementation road map and development strategy covering all aspects right from navigating through complex data challenges, building a prototype to enterprise-wide data science deployment.

5. Choosing the optimal algorithm, models and techniques, right from signal classification, to image segmentation and natural language processing to furthermore.

About Sandeep Natoo

Sandeep is a certified, highly accurate, and experienced Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Sandeep possesses extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Sandeep has 12+ years of experience in building software products and juggling with data.

He has been known for translating complex datasets into meaningful insights, and his passion lies in interpreting the data and providing valuable predictions with a good eye for detail. He is highly optimistic and an avid reader.

This Data Science consultation is perfect for businesses to identify the potential of their data and build custom data analytic solutions to meet their business objectives.

Our Work Process

We are led by a team of adept Data Scientists, who have an excellent track record of generating returns on Investment for our clients. As a leading technology consulting firm, we prefer to implement an in-depth research and development approach to finalize the best outcome for each problem and accomplish the client’s vision at the highest level. We analyze each data source, facts, figures, and engineering solution to deliver valuable, automated, and predictive insights to our treasured clients.

Our consulting process is simple for our customers, starting with understanding the problem at hand, getting the stakeholders together, assessing the data, running it through data modeling, and providing insights to the customers.

Machine Learning Consultation Work Process

Check Out Our Successful Solutions And How We Delighted Our Customers

Know how our expert has successfully delivered Data Science consultations to our clients.

Technologies & Tools

Our experts put statistical and mathematical methods and tools to invent solutions that help companies automate processes, optimize out-and-out operation processes, and add extract business value with data


We work with all size businesses— from startups to Fortune500— in industries from engineering and tech to pharmaceuticals, retail, energy, and gaming.

Oil & Gas
Social Network
Real Estate

Why Mindbowser For Data Science Consultation?

Our lean and agile team of full-stack data scientists, engineers, and application developers accelerate the innovation and implementation of custom data science and AI products. Mindbowser brings extensive cross-industry expertise backed by scientific rigor and deep knowledge of state-of-the-art techniques to design, build, and deploy bespoke data solutions.



Ready models that result in time and cost-saving



We help you identify & validate viable use cases across your business, guide your model through to deploying your models into production



A strong team led by ph.D. holders in data science and AI



Our solutions are independent of the framework. This means you can continue to explore new tools as well as choose different tools among open source and well as proprietary



We cover the full spectrum of ML and AI that is required to get the right ROI for your business. This includes in-house data collection to create rule engines that are done by a single team. This means you have no multi-party dependencies

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