Are You Looking For An Experienced Data Science Team For Your Businesses?

How Data Science Works?

Data science is a field that uses a wide array of scientific methods to gain insights and extract knowledge from data. Data scientists take raw data and refine it using sophisticated techniques and expertise in various disciplines. A data science team must be skilled in a wide range of fields such as mathematics, engineering, computing, visualizations and statistics. This expertise allows them to extract useful insights and information from massive volumes of data. This data can consist of the most crucial bits of information for your business. Hence, Data Science helps drive innovation and decipher new opportunities.

The life-cycle of a data science process consists of the following five stages:

Why having a Data Science Partner Makes Sense?

Given the shortage of data scientists and the dispersed range of skills required to execute a data science problem, it is often hard to build a Data Science team for most companies. Here is how Mindbowser can build a data advantage for you quickly.

 

Meet Our Data Scientist

Sandeep Natoo

Head Of Emerging Tech

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.

Apply The Power of Data Science into Your Business Process Without Code or Data Scientists

We are a team of adept data scientists who have an excellent track record of generating great value and return on investment for our clients. As a Data science services company, we implement a holistic approach to data, planning each stage of the work and aligning it with your vision. We help our customers procure data in the right way, convert it into manageable chunks, and then apply the different data science techniques to deliver valuable, automated, and predictive insights to our customers.

Our data science consulting process is about leading our customers through a series of easy steps to get started on their data science journey. We start by understanding the problem at hand, getting the stakeholders together, assessing the data, running it through data models, and providing insights to the customers.

 

Our Offerings

We offer end-to-end data science services to help you get value out of your data. Just share your data and we will handhold you to decipher it.

Data Preparation

Enriching the data preparation processes by missing value replacement, outlier analysis

Model Generation

Generating, testing, and refining model-based data on the validity of the output

Migration

Migration of algorithms, models from one platform to the other, e.g., SAS to R

Consulting

Appropriate scope identification, feasibility assessment

Check Out Our Successful Data Science Solutions And How We Delighted Our Customers

Our Expertise in Data Science

With the support of advanced technologies, we help you get the most out of data.

Web Scraping Services

Scraping services combine technology and domain knowledge to analyze and scrape data to convert it into significant information that builds business intelligence for our customers.

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Data Analytics Consulting Services

Data analytics consulting solutions help customers identify and obtain the most valuable and meaningful insights from the data, and turn them all into competitive advantages.

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Data Visualization Services

Data visualization services provider delivering data dashboards on both web and mobile, converting data chunks into easy to understand actionable insights.

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Explore Our Capabilities

As a Data science service provider, our team will help you understand use cases in your process where we can assist you with data-backed insights. You do not need any learning curve or hire costly data scientists anymore. We offer customized Data science solutions that can work with your proprietary data and integrate it into your workflow. Additionally, all data is worked under secure access and stringent NDAs.

Data Collection
  • Structured & Unstructured
  • Semi-structured
  • Distributed File System
  • RDBMS & Big Data
  • Emails, Websites & Web APIs
  • Flat file (text, CSV, JSON, logs)
Data Processing
  • Data Cleansing and Profiling
  • Normalization, Text Mining
  • Data Transformation
  • Data Extractor
  • Load Data to Data Warehouse
Feature Engineering
  • Principal Component Analysis
  • Locality Sensitive Hashing
  • Singular Value Decomposition
  • Vectorization, Indexer
  • Text Transformation (word2vect)
  • Feature Scaling
Optimization & Evaluation
  • Cross-Validation
  • Gradient Descent, SGD
  • Hyperparameter Tuning
  • Ensemble & Boosting
  • Log-loss, F-measure, Precision-Recall
  • RSS, RSME, MSE
Machine Learning
  • Regression Algorithms
  • Classification Algorithms
  • Support Vector Machine (SVM)
  • KD-Tree, Decision tree
  • K Nearest Neighbors (KNN)
  • K-means, Latent Dirichlet Allocation
Deployment Processes
  • Model Deployment
  • Model Pipeline
  • Model Serving
  • Managed Deployment
  • Monitoring and Evaluation

How to Execute a Successful Data Science Strategy?

Even though data science is rapidly gaining popularity among businesses and IT leaders, many companies are having a hard time implementing and executing their data science strategies. The following steps will help you effectively execute your data science strategy:

  • Build an Effective Team

Create a stable team consisting of multiple talented individuals, rather than a team of one or two experts who can do it all

  • Identify Key Business Drivers

Understand why your company needs data science and how it can contribute to the success of your business

  • Protect Your Valuable Data 

Implement governance policies to ensure the security of sensitive data during data science implementation processes

  • Emphasize on Articulation 

The insights provided by data science analytics are of no value unless their value can be properly articulated

  • Improve Data Science Processes 

Your team should focus their efforts on reducing the time to develop and deploy new analytical model

Tools And Technologies

As data science service providers, 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.

Industry

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

Insurance

Experts at Mindbowser work on complete product lifecycle from idea to implementation and create end-to-end insurance solutions to enhance service performance, accelerate productivity, and improve quality.

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Healthcare

Providers and payers can leverage exclusive benefits of data analytics and scraping services to enhance clinical decision-making, hassle-free billing, data processing and payment processes to facilitate a reliable patient experience.

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Real Estate

Using advanced algorithms for the provision of well-structured and updated data, we have been helping Real Estate companies gather better data and create more listings and business opportunities.

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Why Mindbowser For Data Science Services?

Our lean and agile team of full-stack data scientists, engineers and application developers accelerate innovation and implementation of data driven solutions. As a Data science services company, we bring 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.

1

SOLUTION ACCELERATORS

Ready models that result in time and cost-saving

solution accelerators
2

DOMAIN EXPERTS

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

domain experts
3

IN-HOUSE EXPERTS

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

In-house experts
4

360 DEGREE SERVICE

We cover the full spectrum of ML and AI that is required to get the right ROI for your business.

360 degree service
5

FRAMEWORK AGNOSTIC

Our solutions are independent of the framework. You can continue to explore proprietary tools as well as choose among open source options

Framework Agnostic

Featured Articles In Data Science

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