Data Science
Services

WebClues is a trusted data science company for startups and enterprises building scalable models, pipelines, and custom analytics solutions.

45+
Models Deployed
20+
Industries Served
85%
Client Recurrence Rate

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Honeywell
enelX
ADNOC
Contis
Aswaaq Online
Peugeot

Full-Stack Data
Science Services

As a data science service provider, we help businesses turn complex data into decisions,
predictions, and measurable results.

Data Science Consulting

Strategize, audit, and scale your data initiatives with end-to-end expert-led consulting services.

Data Engineering Services

Structure, clean, and pipeline your data for scalable, analytics-ready infrastructure.

Predictive Analytics Services

Forecast demand, detect churn, or optimize pricing using proven predictive modeling techniques.

Big Data Analytics

Unlock insights from massive datasets using cloud-native tools and distributed computing frameworks.

Business Intelligence & Dashboards

Build interactive visual reports that turn real-time data into executive-level decisions.

Data Visualization Services

Design intuitive visual layers to explore, explain, and share insights from complex datasets.

Services Related
to Data Science

Build advanced systems by combining data
science foundations with deep tech in AI, ML,
and automation.

AI Development

ML Development

Data Engineering

Data Analytics

Big Data Consulting

Start your data science project
with a team that delivers results

Outcome-Driven
Approach
Strong Data
Foundations
Effortless Tech
Integration
Transparent
Delivery Process
Cross-Functional
Experience

Our Data
Science Process

From business challenge to deployed system, each step is purpose-built for measurable outcomes.

Business Use Case Mapping

Translate the problem into a data science task with defined goals and metrics.

Data Source Identification

Find and connect internal or external data sources relevant to the defined use case.

Model Design & Prototyping

Build early-stage models to validate assumptions and refine the approach.

End-to-End System Delivery

Deploy the final system with APIs, dashboards, and retraining logic where needed.

Business Advantages of
Data Science Solutions

Big data services fuel smarter insights,
operational efficiency, and faster
responses to business challenges.

01
Intelligent Forecasting

Predict future trends using historical data.

02
Operational Efficiency

Optimize workflows through data-driven automation.

03
Customer Insights

Understand behavior and improve personalization.

04
Risk Detection

Identify anomalies and minimize business threats.

05
Strategic Planning

Drive growth with real-time, actionable insights.

Data Science
Use Cases

Examples of how our data science
systems are used across industries
to solve specific challenges.

User Engagement Scoring Using Behavioural Data
User Engagement Scoring Using Behavioural Data

Developed a data model that calculated a custom engagement score using real-time metrics like likes, shares, comments, and watch time. This helped platform owners identify trending content, optimize reach, and improve user targeting.

Trend Prediction with Streaming Analytics
Trend Prediction with Streaming Analytics

Designed a streaming analytics pipeline to detect early patterns of viral content using user activity data. The system helped decision-makers act faster by identifying what was gaining momentum in real time.

Personalized Recommendation via Collaborative Filtering
Personalized Recommendation via Collaborative Filtering

Created a collaborative filtering model using ALS (Alternating Least Squares) to suggest personalized content based on past interactions. This led to increased user engagement and time spent on the platform.

Content Moderation via Multimodal Detection
Content Moderation via Multimodal Detection

A retail brand needed help predicting product demand across stores. We built and trained ML models on their historical data to improve inventory accuracy and reduce stock outs during peak sales.

Our Data
Science Stack

We build data science systems using production-grade frameworks and
domain-relevant open-source libraries.

Python

R

SQL

Apache Spark

Airflow

Databricks

Snowflake

Power BI

Tableau

BigQuery

TensorFlow

Scikit-Learn

AWS Glue

AWS Sagemaker

Azure Cognitive Services

Jupyter Notebooks

Industries We Support with Data Science

Focused data science solutions built
around the needs of high-impact
industries.

Healthcare

  • Predict patient readmission risk
  • Classify conditions from patient records
  • Forecast ICU bed requirements
  • Detect anomalies in patient vitals
  • Group patients by treatment response
  • Estimate recovery time per diagnosis
  • Score risk of condition worsening
  • Identify patients likely to skip medication

Retail

  • Forecast product-level sales by location
  • Classify shoppers by behavior trends
  • Predict next purchase by customer
  • Estimate out-of-stock product timelines
  • Optimize discount timing and volume
  • Detect changes in product demand
  • Rank SKUs by expected performance
  • Personalize offers based on cart history

Fintech

  • Predict loan repayment likelihood
  • Classify users into credit bands
  • Detect suspicious transaction patterns
  • Score customers for new products
  • Forecast account-level cash flow
  • Model long-term borrowing behavior
  • Rank investments by risk-adjusted return
  • Predict user churn by activity

Manufacturing

  • Predict machine failure before downtime
  • Forecast maintenance for critical equipment
  • Detect defects in production output
  • Estimate time for production runs
  • Optimize batch sequencing and scheduling
  • Monitor yield across manufacturing lines
  • Reduce scrap through process modeling
  • Detect bottlenecks in assembly process

Data Science
Experts You Can Hire

Expand your team with specialists in data modeling, analytics, visualization, and infrastructure.

Hire Data Scientist

Hire Data Analyst

Hire Data Engineer

Hire Tableau Developer

Hire Power BI Developer

Words from Our
Data Science Clients

Hear how global teams use
our expertise to ship reliable,
high-impact data solutions.

"Their ability to start quickly and hit the ground running is outstanding. Internal stakeholders are quite pleased with the value WebClues Infotech delivers. They’ve earned a reputation for on-time deliveries that fulfill initial requirements. Their diverse skills and ability to dive into new projects are also noteworthy."

Mike Lanzone
Mike Lanzone

CEO - Atlanta, USA

Eriz Zarate
Eriz Zarate

CEO, Spain

Thomas Clausen
Thomas Clausen

CEO, Denmark

Why Choose Us for Data Science Services?

We bring clarity, accountability,
and deep domain context to every
data science project.

Modern office interior

Experience Across Industries

Realistic Project Planning

Flexible Execution Models

Domain-Aware Teams

Defined Project Ownership

Built-In Quality Checks

Frequently Asked Questions

Everything you should know before
choosing a data science service provider
for your project.

Data science consulting focuses on solving complex business problems using machine learning, modeling, and advanced algorithms. While data analytics services deal with historical data interpretation, data science services go further by building predictive systems. A data science consulting team helps companies explore use cases, validate feasibility, and guide the implementation journey with long-term value in mind.

A data science company can assist with use cases like demand forecasting, fraud detection, process optimization, and customer segmentation. From healthcare to fintech, these solutions help businesses make better decisions and automate critical processes. Working with a full-scale data science service provider ensures the solution fits your domain and delivers measurable outcomes.

If your business generates consistent operational, customer, or process data, you're likely ready for data science services. A good data science consulting services provider will evaluate your data maturity, suggest areas for improvement, and outline a roadmap. Many companies start small with focused pilots before scaling to broader, more integrated systems.

Reliable data science consulting services include post-deployment support such as performance monitoring, retraining schedules, and version control. This ensures the models stay relevant and accurate over time. A strong data science service provider also helps define KPIs early and implements ways to continuously validate and improve the models in production.

No. Most data science service providers are equipped to work independently or as an extension of your team. Whether you're an early-stage startup or an enterprise, a data science company can adapt to your structure. You'll typically just need one internal stakeholder to coordinate goals, priorities, and approvals.

Timelines depend on the complexity of your use case and data availability. A simple data analytics services engagement may take 3 to 4 weeks, while a full-scale data science consulting project can run 10 to 16 weeks. A reliable data science company will provide clear estimates and stage-wise delivery milestones from day one.

Contact
Information

Whether you're building next door or across time zones, we stay close in ideas, in execution, and in support.

India

India

Ahmedabad

1007-1010, Signature-1,
S.G.Highway, Makarba,
Ahmedabad, Gujarat - 380051

Rajkot

1308 - The Spire, 150 Feet Ring Rd,
Manharpura 1, Madhapar,
Rajkot, Gujarat - 360007

UAE

Dubai

Dubai Silicon Oasis, DDP,
Building A1, Dubai, UAE

USA

USA

Atlanta

6851 Roswell Rd 2nd Floor,
Atlanta, GA, USA 30328

New Jersey

513 Baldwin Ave, Jersey City,
NJ 07306, USA

California

4701 Patrick Henry Dr. Building
26 Santa Clara, California 95054

Australia

Queensland

120 Highgate Street,
Coopers Plains,
Brisbane, Queensland 4108

UK

London

85 Great Portland Street, First
Floor, London, W1W 7LT

Canada

Burlington

5096 South Service Rd,
ON Burlington, L7l 4X4

Let’s Transform Your Idea into
Reality. Get in Touch

Contact Us