Expert Data Science Services — Turn Raw Data Into Decisions
Exploratory Data Analysis
Predictive Modelling & Forecasting
Statistical Analysis & Hypothesis Testing
Machine Learning Model Development
A/B Testing & Experimentation
Data Visualisation & Reporting
Partnered with Startups and Fortune 500
Recognised for Data Science Excellence
Dotsquares is a trusted data science partner for enterprises, scale-ups, and data-driven startups that need more than dashboards — they need answers. Our data science team has worked across healthcare, finance, retail, logistics, and legal sectors, building predictive models, running statistical programmes, and designing experimentation frameworks that feed directly into product and commercial decisions. With 20+ years in technology and 500+ data and AI engagements behind us, we know what separates a model that performs in a notebook from one that holds up in production.
Our Data Science Services - From Analysis to Production Models
Before any model gets built, we spend time understanding what your data actually looks like — distributions, missing values, correlations, outliers, and the patterns that are not obvious until you plot them. Our EDA work gives your team a clear, documented picture of the data landscape, which shapes every modelling and engineering decision that follows. It also surfaces data quality problems early, before they become model accuracy problems later.
We build predictive models for churn, demand, revenue, risk, maintenance, and more — selecting algorithms based on your data characteristics and latency requirements, not just what is fashionable. Where possible, we favour interpretable models that your team can reason about and maintain, and document our feature engineering choices so the logic does not disappear when we hand over. For time-series problems, we have solid experience with ARIMA, Prophet, LSTM, and ensemble approaches depending on what the data supports.
When a business question has a statistical answer, we find it properly. That means choosing the right test for the data type and distribution, checking assumptions before running the analysis, and communicating results in terms your stakeholders understand — not just p-values. We handle everything from basic significance testing and ANOVA to more complex regression analysis, survival analysis, and Bayesian inference depending on what the problem calls for.
We design, train, and validate machine learning models suited to your specific problem — whether that is a supervised classification task, an unsupervised clustering exercise, or a reinforcement learning scenario. Our process includes proper train/test splits, cross-validation, hyperparameter tuning, and bias checks before anything goes near a production environment. We work in Python (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow) and document models so your team is not inheriting a black box.
Running experiments properly is harder than most teams expect. We design statistically sound A/B tests and multivariate experiments — calculating sample sizes upfront, selecting the right metrics, controlling for novelty effects, and analysing results without peeking. For product and growth teams that run ongoing experiments, we can help design an experimentation infrastructure and governance process that makes decision-making faster and more reliable over time.
We build dashboards, reports, and visual analyses that communicate findings clearly to different audiences — from data-literate analysts to non-technical stakeholders. We work with Power BI, Tableau, Looker, and Python-based visualisation libraries (Matplotlib, Seaborn, Plotly), and we pay particular attention to how charts are labelled and framed — because a well-designed chart that tells the wrong story is worse than no chart at all.
We help product, marketing, and commercial teams understand how customers actually behave — segmentation, lifetime value modelling, funnel analysis, cohort retention, and purchase propensity. The output is not just a report; it is a set of segments and signals that can feed directly into CRM tools, ad targeting, or product personalisation logic. We have run these programmes across retail, fintech, SaaS, and subscription businesses.
When your business sits on large volumes of unstructured text — customer reviews, support tickets, contracts, medical notes, legal documents — we extract structure from it. That might mean sentiment classification, topic modelling, named entity recognition, document similarity, or intent detection. We apply the right approach for the volume and precision requirements, from lightweight rule-based methods to fine-tuned transformer models.
Models degrade. Data distributions shift. Business logic changes. We build monitoring setups that track model performance in production — data drift, concept drift, prediction quality — and alert your team before accuracy problems start affecting business outcomes. We also handle scheduled retraining pipelines and model versioning, so keeping a production model healthy does not require constant manual intervention.
Get Custom Solutions from our AI Expert Consultants
Our Expertise Across Various Advanced Technologies
We leverage cutting-edge tools and platforms to address our clients' diverse business needs, offering a range of AI solutions by integrating these advanced technologies.
Deep Learning
We utilize advanced neural network architectures to enable machines to learn from vast amounts of data, allowing for complex pattern recognition, natural language processing, and image recognition applications.
Agentic AI
With us you can deploy autonomous AI agents that plan, reason, and execute multi-step tasks independently, enabling intelligent automation across complex workflows, decision-making pipelines, and goal-directed systems.
Generative AI
Harness algorithms that can create new content such as images, text, and music autonomously, enabling innovative applications in creative industries, personalized content generation, and enhancing design processes with AI-driven creativity.
Tech Stack Driving Digital Transformation with Data Science Services
GPT4 (OpenAI)
Claude
Gemini 2.0
DeepSeek
LLaMA 3 (Meta)
DALL E
Deep Art
Stability AI
Midjourney
Flux
Deepgram
Transformer
CNN
GAN
RBM
DBN
DRLN
Autoencoders
TensorFlow
PyTorch
Keras
Caffe
MXNet
Theano
Chainer
CNTK
Torch
DeepLearning4j
Hugging Face
Meta AI
DeepMind Sonnet
TensorFlow Probability
Fast.ai
AllenNLP
NVIDIA NeMo
MLflow
Weights & Biases
Docker
KServe
SageMaker
Azure ML
Kubeflow Pipelines
Evidently AI
Apache Airflow
Prometheus
TensorFlow
PyTorch
Keras
Caffe
Theano
GPyTorch
MXNet
Scikit-learn
FastAI
AlexNet
DenseNet
EfficientNet
Inception AI
SqueezeNet
Xception
VGGNet
CNTK
MobileNet
GoogLeNet
Advantages of Hiring Data Scientists from Dotsquares
ISO 27001 Certified Security
We maintain the highest international standards for data protection with ISO 27001:2022 certification, ensuring your intellectual property and sensitive information remain 100% secure.
1000+ In-House Developers
Our team of 1,000+ in-house experts is recruited through a rigorous screening process, selecting only the top technical talent to ensure premium quality for every project.
24+ Years of Proven Excellence
With over 27,000+ successful projects delivered since 2002, we bring deep industry experience and a stable, reliable foundation to every partnership we build.
Trusted Global Technology Partners
We are proud Microsoft Gold, AWS, and Salesforce Consulting partners, ensuring your solutions are built using the latest enterprise-grade technologies.
Next-Gen Custom AI Innovations by Dotsquares
Explore some of our AI projects demonstrating our expertise in harnessing AI to create robust and scalable solutions.
AI solutions
Document Identifier/Analyser
Challenges
Developing an Identity Document Analyzer faces complexities due to the diverse formats of passports, Aadhar cards, PAN cards, and driving licenses, necessitating precise text extraction amid varying document quality and privacy concerns.
Solution
By leveraging advanced AI algorithms for pattern recognition, OCR, and NLP, coupled with robust encryption and scalable cloud infrastructure, Dotsquares ensures accurate and secure document analysis, meeting regulatory compliance and enhancing user experience seamlessly.
- TECHNOLOGY Python
Tailored Technologies to Conquer Your Development Challenges
We are not wedded to a single toolchain. We use what fits the problem, the scale, and the team that will maintain the output.
Get Our Assistance for Your Business Needs
At Dotsquares, we provide flexible options for accessing our developers' time, allowing you to choose the duration and frequency of their availability based on your specific requirements.
Bucket hoursWhen you buy bucket hours, you purchase a set number of hours upfront.
- Your purchased bucket hours remain valid for 6 months, during this time frame, you can utilize our services until your hours are exhausted or until the 6-month period expires.
- For example, if you invest in 40 bucket hours and use 10 hours within the first month, you will have a remaining 30 hours to utilize over the next 5 months.
- In this case, the developer will work for other projects simultaneously as you have opted for bucket hours and not dedicated hiring.
It's a convenient and efficient way to manage your developer needs on your schedule.
Explore more
Dedicated/Regular HiringIn dedicated hiring, the number of hours are not fixed like the bucket hours but instead, you are reserving the developer exclusively for your project.
- The developer will work only on your project for a set amount of time.
- You can choose to hire the developer for a week or a month, depending on what your project needs.
- This means our developer will focus exclusively on meeting the needs of your project, without any distractions from other commitments.
Whether you need help for a short time or a longer period, our dedicated hiring option ensures your project gets the attention it deserves.
Explore moreOur Agile Development Process
Companies employ developers from us because we have a proven track record of delivering high-quality projects on time.
Planning & Consultation
Our journey begins with understanding your vision. Based on your vision, we collaboratively create a project roadmap with clear milestones. We’ll consult about your ideas, target audience, and desired outcomes.
Initiate discussions to understand your objectives, target audience, and desired outcomes.
Collaboratively create a detailed project plan with clear milestones and deadlines.
Outline the key features, functionalities, and requirements.
Allocate team roles, tools, and budgets to ensure effective project management.
Design
Our skilled designers translate your vision into a user-friendly and visually appealing solution. They focus on creating a positive user experience that keeps users engaged and coming back for more.
Develop wireframes to outline the structure and layout.
Craft the user interface and user experience, focusing on aesthetics and functionality.
Create interactive prototypes for user feedback and refinement.
Present the design for your review and approval, making necessary adjustments based on feedback.
Development
Our expert developers take your design and turn it into reality. We keep you informed throughout the process with regular progress reports and milestone deliverables. This ensures you have complete transparency and control over the development phase.
Code the client-side interface, ensuring responsiveness and compatibility.
Build the server-side logic, integration, and functionalities.
Provide progress reports and milestone deliverables to keep you informed.
Conduct initial testing and debugging to ensure the development functions as intended.
Testing
Before launch, our dedicated QA specialists meticulously test every aspect of your product. They identify and fix any potential issues to guarantee a smooth and flawless user experience.
Test all features and functionalities to ensure they work correctly.
Evaluate the user interface and user experience for ease of use and navigation.
Assess the speed, load time, and responsiveness under various conditions.
Conduct thorough security checks to identify and fix vulnerabilities.
Deployment
Once everything is finalised, our team strategically chooses the most suitable deployment methods and services. Now, your project is live for everyone to see and interact with!
Recommend and set up the most suitable services based on your needs.
Perform final checks and configurations before going live.
Develop a launch plan, including marketing and promotional strategies.
Deploy the product, ensuring everything is functional and optimised for performance.
Maintenance
Our commitment doesn't end at launch. We provide ongoing support to ensure your product stays up-to-date, secure, and bug-free.
Implement software and security updates to keep the website current.
Continuously monitor performance and security to prevent issues.
Address any technical issues or bugs that arise post-launch.
Optimise speed and functionality based on user feedback and analytics.
Questions We Get Asked About Data Science
Find answers to common questions about our services, process, and expertise.
Data analytics typically focuses on describing what has happened — reporting, dashboards, trend analysis. Data science goes a step further: building models to predict what will happen, running experiments to test why something happened, or using machine learning to automate decisions. In practice, there is overlap, and a lot of valuable work sits at the boundary between the two. We cover both.
