
Data Science Services for Smarter Business Insights
Predict risks before they hit your business with our expertise in data science solutions designed for business intelligence.
We empower enterprises to eliminate their outdated data models and drive innovation with systematic implementation of data science solutions.
Enterprises of various types and sizes profit by employing data science services and processes to address complex data issues and diverse business problems. SHALIGRAM offers specialized data science services that meet your business objectives, eliminate challenges related to poor, messy data, and unpredictability in forecasting.
Data science technology is experiencing rising user adoption. By 2034, the data science platform market is likely to reach USD 975 billion worldwide, as per Fortune Business Insights. Improve the performance of your predictive systems, data mining and extraction systems, and AI/ML-powered products with our data science services.
Business challenges we solve with data science services
Unpredictable business outcomes
Replace guesswork with data-driven predictions.
Customer churn risks
Churn prediction models identify clients who are likely to exit.
Inaccurate forecasting
Utilize historical and real-time data to make accurate forecasts.
Missed growth opportunities
Faster and definitive identification of growth opportunities.
Inefficient resource allocation
Provides differences in allocation of resources in real-time.
Operational inefficiencies
Identifies inefficient processes to help take remedial measures.
Complex decision-making
Provides useful insights that assist in decision-making.
Hidden business patterns
Harness computing capability to trace patterns missed by the human eye.
Data without actionable insights
Analyze data to extract insights that improve business outcomes.
Our data science services
Data science consulting
Our experienced data science professionals offer expert advice on your data science needs, AI/ML-powered data architecture, & build a result-driven data strategy.
Predictive analytics services
Our team designs and develops customized predictive models. We take the latest technology and your organization's unique needs into account.
Statistical modeling
With our expertise and experience in statistical modeling, we develop modern, accurate, and reliable statistical models.
We recommend and create customized Machine Learning solutions to aid organizations in discovering hidden patterns in large volumes of data.
Forecasting model development
Forecasting helps businesses anticipate problems and take swift action. With a quality forecasting model, your business will have an edge over competitors.
Data science modernization
If your organization is using old data science technology, we help seamlessly replace the existing technology with state-of-the-art data science technology.
Our numbers reflect our commitment
Data science solutions built for real-world outcomes
Data science solutions make predictions based on historical, current, or even synthetic data. Examples include inventory requirement forecasts, product demand forecasts, etc. Your organization gets insight into future trends, enabling timely measures.
Business outcomes delivered through data science
Better forecasting
Forecast everything from system failures to production requirements with predictive modeling.
Smarter decisions
Data science provides actionable business insights for all business verticals to make better decisions.
Reduced business risk
Data science models help in predicting, determining, and mitigating business risks.
Higher profitability
Data-driven dynamic pricing determines the price that will result in a successful sale and result in higher margins.
Improved customer retention
Implementing data science solutions such as personalized recommendations and dynamic pricing improves CX and increases retention.
Greater operational efficiency
Data science solutions supply insights on existing inefficient processes. The processes may be phased out, resulting in ramped-up operational efficiency.
Faster opportunity identification
Data science models are faster in identifying opportunities. The models don’t miss any opportunities, unlike human eyes.
Improved planning accuracy
Predictive analytics supply future business trends that help make better plans that are most likely to succeed.
Sustainable competitive advantage
Businesses adopting data science solutions become more resilient to market disruptions when benchmarked against enterprises that don’t.
Building strong data foundation with expert data science services
Data engineering
We design & implement data engineering solutions that gather, store, and transfer data. We strive to make data accessible, insightful, and clean. Our data engineering services bring operational excellence to your current data workflows.
Our data science delivery process
Business problem discovery
We work with you to identify existing and future business challenges. Next, we determine success metrics to measure performance. Finally, we list the deliverables. Also, check for problems in the existing data science solution, if any.
Data assessment
Your data is meticulously examined to determine how clean, structured, complete, and accurate it is. Check for duplicate and missing entries. Finally, determine whether the data is ready to be used.
Data preparation
We identify the various data sources. Next, we gather, clean, and finally transform the data. Data cleaning entails deleting redundant entries, correcting typos, and restoring missing data. Biases in data are checked in order to avoid flawed outputs at a later stage.
Model development
In this stage, we finalize data science tools, algorithms, and models. We put time and effort into shortlisting the suitable model and data science technology that will successfully meet your organization’s business objectives.
Validation and testing
We design a PoC (Proof of Concept) to prove validity. Next, we develop a prototype to see what the data science solution looks like. Finally, we create an MVP to test for deployment. Incorporate feedback and test for performance, accuracy, and speed.
Deployment
Models are placed in the production environment. Evaluation and tuning of the data science model. Insights prepared to be viewed via reports and dashboards. We perform training of the model on the agreed-upon dataset.
Monitoring and optimization
We make sure to continuously check for performance issues in your data solutions. We monitor all functions, integrations, and tools that your data science models are using. We make changes to ensure full model optimization.
We build reliable data science solutions across industries & business verticals.

Manufacturing
In manufacturing, our predictive maintenance models track the condition of equipment parts. So, action can be taken before any equipment breaks down. This ensures that there are no delays or downtime. Other use cases include demand forecasting, defect detection, quality inspection, production optimization, supply chain optimization, and inventory management.

Healthcare
Our solutions analyze real-time data to achieve seamless hospital management. Data such as patient age, gender, medical conditions, and existing treatment regimens are processed to determine accurate patient outcomes. Solutions help in personalized treatment, early disease detection, and timely clinical decision-making.

Fintech
Predictive models deliver customized finance plans that reduce customer churn and ramp up user adoption. The implementation of our data science solutions helps identify anomalies as well as avert fraudulent activities. We develop accurate risk assessment and credit scoring models.

Logistics
We build data science solutions for the logistics industry that optimize warehouse space, boost fleet efficiency, and improve driver performance. Data science products provide real-time demand forecasts to avoid transport-related wastage of goods. The supply chain is made robust by anticipating and averting possible disruptions.

BFSI
Data science services ensure compliance with current finance-related regulations as well as report any untoward incident to the authorities. Risk models give out the right insurance premium pricing in real time. We help BFSI develop risk models, personalized investment portfolios, etc.

Real estate
Using customized data science solutions, we help the real estate industry improve procurement and pricing dynamics. Property valuation is made more accurate and transparent. Whether it is a buyer or seller, both benefit from correct pricing. These solutions are deployed to forecast property market trends.

Retail
Dynamic inventory management employs data science models to lower costs and save time. User data such as geographical location, buying history, and preferences help in targeting only the interested customers. Our data science solutions help implement smarter POS and inventory forecasting models for retailers.

Food and Beverages
Predictive models are able to determine the shelf life of food and beverages. Data science-powered applications pinpoint any adulteration and low-quality packaging to achieve stringent quality control. We help you optimize production processes and maintain consistent product quality with data models that detect adulteration.

Oil and Gas
Data science-powered systems minimize time and costs by predicting which sites have a high probability of finding oil and gas. Employing historical data helps enhance the safety of humans as well as machines. Past and real-time data give insights into drilling activities, resource utilization, and environmental impact.
Recent projects & case studies
From startups to enterprises – see how our expertise in software consulting and development in the USA has led to measurable impact across industries.
Why enterprises choose SHALIGRAM for data science services

Our data science services are designed to give enterprises a head start over the competition by deriving the right value out of data. We use the latest tools, processes, and expert human resources to create next-gen data science solutions. Our data science solutions have high-grade security, are convenient to integrate, and also have ease of scalability. SHALIGRAM’s data science services.
- Meet all client requirements
- Have a client-friendly and transparent approach
- Include assured post-project support and maintenance services
- Adhere to existing regulations and global quality standards
Need Data Science Services that transform data complexity into measurable business value?
Whether you are a start-up or an established venture, implement the right data science model with SHALIGRAM!
FAQs
Trusted by businesses around the world for their digital transformation journey
Data science services help manage available raw data for enterprises to make superior business decisions based on the data.





































