Data Science

Data Science And Analytics Solutions Tailored To Fit Your Business Needs

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Our clients include 150 Global Brands, Silicon Valley Founders,
Small Business Owners, Agencies and Software Companies

Capital Numbers Is A Leading Provider Of Data Science Services

We bring deep expertise in Python and R, lean software development practices, and high-performance product culture. The key to our success has been a business culture that puts products over projects, customer success over contract terms, and real business results over pure technical innovation.

Our approach involves developing a solution that matches your business needs, the kind and amount of data that you gather and based on your existing IT infrastructure setup.

Our Analytics Capabilities


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Process To Problem-Solving

Data Discovery

We start by creating a high-level understanding of your company and defining the business problem and data sources. We try to understand the nature of the data in terms of whether it is qualitative or quantitative, structured or unstructured, archived or streaming, etc.

Data Preparation and Cleansing

This step involves preprocessing data based on the analysis requirement. We check for missing values, remove data inconsistencies, normalize datasets, and ensure that the data is ready for exploration.

Tools: Data Wrangler, OpenRefine

Data Exploration

At this stage, we get an intuition of the data, distinguish relevant variables and their relationships, identify outliers, validate assumptions, and choose appropriate techniques for modeling. We use graphical statistical methods from the simple histogram and scatter plot to probability plot and seasonal subseries.

Tools: R, Python (Flask)

Data Modelling

Based on the insights from exploration and the requirement, we develop predictive or descriptive models—from simple regression to deep learning. After multiple repetitions, the most suitable model is created. These models are then verified with the test data and approved by our experts.

Tools: R, Python, Scikit, TensorFlow


Using statistical descriptions and visualization techniques, we communicate the key findings from the models implemented. With the help of interactive tools, business users can change the variables in the model and explore potential outcomes to strategize or refine their decisions.

Tools: Gephi, D3.js, GGobi

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Our Tech Expertise

  • tech
  • tech
Cloud Computing
  • tech
  • tech
  • tech
  • tech
Big Data
  • tech
OS / Software
  • tech
  • tech

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Industry Experience

Our team is specialized in a wide array of industry verticals

  • ISVs & Product

  • Digital & Marketing

  • Banking &

  • Retail &

  • Healthcare

  • Education and

  • Logistics &

  • Media &

  • Automotive

  • Travel &

  • Technology

  • Publishing &

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Talented Team Of Experts


Data Science Developer

Sudeshna is an avid follower of technology and a skilled professional with deep industry knowledge on data processing, data-related algorithms, searching, and machine learning.


Data Engineer

With an in-depth knowledge of R, SQL, MATLAB, SAS, and other platforms for data science, Tusher is a professional who loves working on challenging projects.


Data Science Developer

Innovative, competent and resourceful, Tanuparna is proficient with Machine Learning, Python, Flask and MATLAB.


Data Science Developer

Equipped with cutting-edge technical knowledge, Debajyoti has extensive experience in data processing, data-related algorithms, searching, and machine learning.

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Use Cases

Business Strategy
  • Market and competitor intelligence
  • Designing optimal sales territories
  • Scenario simulation
  • Deployment of workforce
  • Managing performance & productivity
Risk Management
  • Customer churn prediction
  • Psychological scoring
  • Fraud detection
  • Preventive maintenance
  • HR analytics
  • Social media monitoring
  • Automated text sentiment analysis
  • Image recognition and computer vision
  • Warehouse optimization
  • Logistics optimization
  • Supply chain optimization
  • Work shifts optimization
  • Contact center optimization
  • Chatbots and call robots (NLP, NLU, NLG)
Resource Management
  • Optimal asset turnover
  • Resource and capacity utilization
  • Streamlining branch networks
  • Preventive maintenance prediction
  • Establishing real estate footprint
Sales & Marketing
  • New customer acquisition
  • Customer retention and churn management
  • Managing cross-sell and up-sell opportunities
  • Managing customer experiences
  • Analysis of market sentiments
  • Creating personalized value offerings

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Great Reviews

97 Out Of 100 Clients Have Given Us A Five Star Rating On Google & Clutch

James Burke

James Burke

Managing Partner, Consensus

"They're very willing to assemble the team that we ask for if we have certain preferences."

Emily Nyaz

Emily Nyaz

VP of Operations
Up Trending

"The workflow between our team and theirs was excellent."

George Levy

George Levy

Chief Learning Officer, Blockchain
Institute of Technology

"I am glad I found Capital Numbers and I credit them for a lot of the success I have had."

Read More Reviews
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  • Review 5

We’d Love To Hear From You

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    Awards, Accreditation & Partnership

    • Deloitte Technology Fast 500
    • Deloitte Technology Fast 50
    • 1000 High Growth Comapnies 2018
    • BCC 1st runner-up 2016
    • The telegraph infocom SME of the year 2014
    • Dun and Bradstreet leading smes of india 2017
    • CII awards 2015
    • ISO 9001-2015
    • Acquia
    • CII

    Step Into Our Development Center

    4.4 ( 70 rating )