Data Science

DATA SCIENCE  / ADVANCED ANALYTICS

Unlock the value of Your Data - Turn Data Sets into Data Assets







Data Science

Data Science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data

Benefits

We help you find hidden insights in mass data sets so you can plan more effective responses to tough challenges.

Data Analytics

Data Analytics is a discipline focused on extracting insights from data, including the analysis. collection, organization, and storage of data.

We Love The Thrill of Building Solutions

We help companies design, engineer, and deploy custom end-to-end data science consulting and development services. We dive into your data and access breakthrough insights for better performance.


We are a technology and data science focused company with 30+ years of hands-on experience. We use advanced methods and tools to transform diverse data extracted from disparate sources into actionable insights.

  • 1. Machine Learning

    We use supervised, unsupervised, and reinforcement learning to create data science solutions that handle complicated tasks with little to no human help and automate business operations.

  • 2. Neural Networks

    We train convolutional, recurrent, generative adversarial, and other types of neural networks to enable speech and image recognition, create voice interfaces and recommendation engines, and more.

  • 3. Statistical Methods

    We apply descriptive statistics, advanced time-series forecasting, and bayesian inference to establish relations between events and predict their aftermath.

Shaped By Cross-industry Experience


We mashup our expertise in providing data science professional services and the knowledge of industry-specific business processes to unveil and match your specific needs with tailored solutions. We have worked in several industries – Life Sciences, Healthcare, Retail, CPG, Financial Services, Health Plans, Insurance, Automotive, Energy, and more.

Powered By Expertise

Using our analytics expertise, we help find hidden insights in mass data sets so our clients can plan more effective responses to tough challenges.


Our team of full-stack data scientists and engineers accelerate innovation - from consulting to building data science applications from scratch.


We bring a diverse set of research and development expertise, scientific rigor, and deep knowledge of state-of-the-art techniques to design, build, and deploy industry-specific solutions.

LET'S CONNECT

For Challenges Like These...

Leverage Data to Boost Capabilities

The New What Ifs

Discover Insights To Crush Competition

See Beyond Conversions

Slay The Silo To Derive Insights

Forecast To Get Ahead Of The Game

Improve Customer Experience

Enhance Accuracy

Predict Churns

Visualize Data To Make Better Decisions

Better Understand Brand Perception

Create Optimal Market Baskets

Build Personas of Key Users

Identify Suspicious Activity

Value Based Dynamic Pricing

Analyze. Visualize. Capitalize.

Transform the way you use data.

From planning and pipelining to model deployment and integration, our unrivalled approach ensures you extract maximal value from your data.  We use machine learning and statistics to help our clients unlock the value of data. 


Data is data – regardless of the industry. Yet every industry has its own unique analytics needs. Xenolytix brings front-line experience and deep industry knowledge to develop solutions that will work for your business.


Our goal is to make it easy for organizations to use and benefit from today’s innovations in data science and technology.


Data Science Technology Stack

Social Media Analytics

Get Data. Use Data. Win The Social Race!

Innovation Your customers, clients, and competitors are talking about you, about your industry, about your products. Are you listening? Are you engaging, tracking, and measuring? How do you visualize the data that comes back? How do you take action?


We spot the trends before they're trending. Xenolytix can help you measure signals and track your own data and that of the competition to make your social strategy sing - powerful media intelligence enriched by Xenolytix. Never miss a mention!


Our AI based solutions help you sift through billions of data points in real-time so you don’t have to. Delivering more insights and less noise. Track your brand, competitors, and industry in real-time. Understand the bigger picture with sentiment analysis, share of voice, trending themes, and more.


Understand your digital audiences better than ever before. Make accurate decisions with social media analytics. Measure the impact of your strategy and leverage actionable insights to drive real business results and easily share data across the corporation.


Access competitive insights and benchmarks to outperform your competitors. Uncover your company's strengths and weaknesses. It is not just a social media rage, it is a social goldmine! As users we know that millions of consumers openly state their opinions online. They share their opinions about brands, evaluate brands, and in some cases influence their circle of friends. If they are key influencers, their view of a brand can be a boon or spell disaster. 


Xenolytix' Social Media solutions help you with just that. We help brands engage & grow their customer base through content personalization based on actionable AI-powered audience insights. Our experts can help you filter and evaluate social media data pertaining to your brand or key words that relate to you and go beyond tracking trends online. They can help you monetize the social platforms in innovative ways.

Data Science FAQ

Got a question? We’re here to help.

  • What is Data Science?

    Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. 

    It is a multidisciplinary approach to extracting actionable insights from the large and ever-increasing volumes of data collected and created by today’s organizations. Data science encompasses preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.

  • What is the Data Science Pipeline?

    Data Science Pipeline includes overlapping, continuing processes. These include:


    Capture - Gathering of raw structured and unstructured data from all relevant sources.


    Prepare and Maintain - Putting raw data into a consistent format for analytics or Machine Learning models. 


    Preprocess  -  Data scientists examine biases, patterns, ranges, and distributions of values within the data to determine the data’s suitability for use.


    Analyze  - Data Scientists perform statistical analysis, predictive analytics, regression, Machine Learning and deep learning algorithms, and more to extract insights from the prepared data.


    Communicate  - Th insights are presented as reports, charts, and other data visualizations that make the insights—and their impact on the business—easier for decision-makers to understand. 

  • What is Big Data Analytics?

    Big Data Analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.

  • What is Social Media Analytics?

    Social Media Analytics is the process of tracking, collecting, and analyzing data from social networks. It is the ability to gather and find meaning in data gathered from social channels to support business decisions — and measure the performance of actions based on those decisions through social media.


    It is broader than metrics such as likes, follows, retweets, previews, clicks, and impressions gathered from individual channels. It also differs from reporting offered by services that support marketing campaigns such as LinkedIn or Google Analytics.

  • What is Deep Learning?

    Deep Learning is a type of Machine Learning, inspired by the structure of a human brain. Deep Learning algorithms attempt to draw similar conclusions as humans would by continually analyzing data with a given logical structure. To achieve this, deep learning uses a multi-layered structure of algorithms called neural networks.

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