Data Science Consulting Services

Are you looking for a data science consulting company to help you unlock the power of data? We can help optimize inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making.

Trusted by startups
and Fortune 500 companies

Data Science Services We Offer

As a renowned business intelligence data science consulting company, we offer a broad range of data science services that can help your business achieve its goals. We also provide consulting services and support with AWS and Azure Data Lake.

Business Intelligence and Data Warehouse

We help organizations with mature business intelligence processes and those at the start of their BI journeys to build business-oriented BI ecosystems and enhance the technological aspect of their data management and use.

Data Strategy

We help businesses with strategies and tools for managing data quality and policies for handling data. We help businesses with managing metadata and helping to ensure that data is properly organized and structured.

Data Preparation

We clean and reformat datasets to ensure that all data used in the analysis will be high quality with the help of Complex queries like Ad Hoc queries, MDX Queries, SSIS packages, etc.

Data Mining

Our experts extract and discover patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. We are experts in Data Quality Analysis, Statistics analysis, EIS feed, and MD analysis.

Big Data and ML Solutions

With Machine Learning, we help businesses learn customer behavior patterns for better decision-making. Our Big Data experts help businesses improve performance & risk management tools.

IoT Analysis

Our experts help businesses uncover data value from gadgets, sensors, biometric devices, connected equipment, and other data sources by delivering reliable and scalable IoT data analytics solutions to design a detailed IoT roadmap.

Let’s Discuss Your Project

Get free consultation and let us know your project idea to turn it into an amazing digital product.

Leverage the Technical Expertise of Our Data Science
Consulting Experts

Gain valuable insights from your data and make informed decisions with the technical expertise of our data science consulting experts. Using advanced analytics and machine learning techniques, our data science experts can help businesses identify patterns, trends, and relationships in their data.

Relational Database

  • MS SQL Server
  • MySQL
  • Postgres
  • Azure SQL


  • MongoDB
  • Cresenda
  • Cosmos DB
  • Hadoop

Reporting Tools

  • Power BI
  • SSRS
  • Tableau
  • XSLT
  • Hive
  • AWS Quicksight

Analysis Tools

  • SSIS
  • SSAS
  • Data Lake
  • Azure Synapse
  • Azure Data Brick
  • AWS Data Mining

Queue Management

  • Kafka
  • Rabbit MQ
  • S3 / S3 Glacier
  • GCS -Cloud Storage
  • CloudFront
  • SQS / SNS


  • Memcached
  • HQS
  • Ignite Cache

Serverless Tools

  • AWS Athena
  • Azure Web Jobs
  • Azure Functions
  • Azure Data Factory

Cloud Storages

  • AWS S3
  • Azure Blob
  • EMR
  • Redis
  • CDN


Benefits of Data Science Consulting Services

Our data science consulting services offer a wide range of benefits to businesses seeking to unlock the value of their data. These enable businesses to make informed decisions, optimize their operations, and gain a competitive advantage in the market.


Boost Efficiency of Data

BI process highlights the areas of improvement after analyzing historical data and current trends. Instead of relying on human predictions, they let the data analytics systems do the work.

Helps in Building Data Strategy

It helps companies quickly identify high-impact use cases for data-powered tools, detect associated growth

Enrich Data Security and Reduce Frauds

BI and data warehouses enrich security by identifying vulnerabilities and encrypting communications using securing BYOD policies. It also sets permissions, password protection, and access control.

Enables Historical Insight

Business intelligence helps analyze past data, while data science helps with future predictions based on past data analysis.

High Scalability and query performances

The lookup transformation can cache data. The cache can be loaded from various sources, including text files, XML files, or even web services. The data pipeline architecture can provide a fully multi-threaded engine for true parallelism.

Interoperates on premises and clouds

Snowflake is a data warehouse-as-a-service, and operates across multiple clouds, including AWS, Microsoft Azure, and Google Cloud with a variety of data sources.

Data science is easily acceptable with Artificial intelligence(AI)

Data Science comprises various statistical techniques whereas AI makes use of computer algorithms. AI is about imparting autonomy to the data model with Data Science. We build models that use statistical insights that emulate cognition and human understanding.

We Are India’s Top

Data Science Consulting Services Company

Our commitment to delivering high-quality software solutions has made us the preferred choice for clients across various industries. We have the expertise and experience to provide customized data science consulting services to startups, large enterprises, and everything in between.

  • Flexible engagement options
  • Best development practices
  • Secure, scalable, and optimized websites
  • Mobile-friendly, responsive designs
  • Cultural compatibility
  • Cost-effective solutions

We Have Worked For Some Wonderful Companies Globally

We have a global presence and have worked with businesses of all sizes and types from different countries. Our customized software solutions that satisfy our clients’ unique requirements has enabled us to become a leading player in data science consulting.

  • Quick Team Scaling
  • Time-Zone Compatibility
  • Global Quality Standards
  • Client-centric Approach
  • Ongoing Learning & Development Programs
  • Cutting Edge Infrastructure

Got a Project in Mind? Tell Us More

Drop us a line and we’ll get back to you immediately to schedule a call and discuss your needs personally.

Our Business Intelligence Data Science Consulting Process

We follow a specific process for data science and analytics services, which includes the following steps:

  • During data preparation, ETL Extract, Transform, and Load tools may generate cron jobs, background jobs, SQL Packages (SSIS), shell scripts, etc. that regularly update data in the data warehouse.
  • Our team builds customized data intelligence tools using internal data (CSV, MS-Access, CRM, and ERP data), Archive data, External data(Analytics, 3rd Party API), SAP, etc. Below is the technical architect diagram for the business intelligence practice built by our SQL Server team using SSAS and SSRS.
  • We process data sources like traditional data warehouses, Cloud Data Warehouse or Virtual Data Warehouse. We have expertise in scale-out serverless data integration and data transformation using ETL services on Azure Data factory that is helpful to create data-driven workflows for orchestrating data movement and transforming data at scale.
  • TechIND also consult and provide BI engineers who transform data using Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database, Azure Blob Storage. Azure Synapse supports a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
  • Our AWS devops data science engineer deployed a data warehouse quickly with Amazon Redshift, Amazon RDS for PostgreSQL, MySQLand Tableau Server. Amazon Redshift is a high-performance, petabyte-scale data warehouse service optimized for online analytical processing (OLAP) queries typical of analytic reporting and business intelligence applications. The Amazon S3-based data lake solution uses Amazon S3 as its primary storage platform.

User Guide To Understanding Data Science Consulting Services

What is Data Science consulting?

Data Science Consulting provides expert advice and support to businesses, organizations, or individuals on effectively using data to make informed decisions and solve complex problems. This can include analyzing large datasets, developing predictive models, designing data-driven strategies, and providing insights and recommendations based on data analysis.

Data Science Consultants may work with clients across various industries, including healthcare, finance, marketing, and technology, to help them leverage data to achieve their goals. They may also assist in implementing data-related tools and technologies, such as data visualization software, data management systems, and machine learning algorithms.
Overall, Data Science Consulting aims to help clients use data in a way that provides a competitive advantage, improves decision-making, and drives business growth.

What does Data Science consultant do?

A data science consultant provides expertise and guidance in the field of data science to organizations seeking to extract insights and value from their data. Their primary responsibilities include:

Data Analysis and Modeling: A data science consultant analyzes large and complex datasets, identifies patterns, trends, and relationships within the data, and builds statistical models to uncover meaningful insights.

Problem Solving: They work closely with clients to understand their business challenges and goals. Based on this understanding, they formulate data-driven solutions and strategies to address those challenges effectively.

Machine Learning and Predictive Analytics: Data science consultants utilize machine learning techniques and predictive analytics to develop models that can make accurate predictions or classifications based on historical data. These models are used to drive decision-making processes or automate tasks.

Data Visualization: They create visually compelling and informative data visualizations and dashboards to communicate complex findings and insights to stakeholders in a clear and understandable manner.

Data Strategy and Planning: Consultants assist organizations in developing data strategies and roadmaps, helping them define data collection, storage, and analysis processes. They ensure that data initiatives align with business objectives and regulatory requirements.

Collaboration and Communication: Effective communication is a key aspect of a data science consultant’s role. They collaborate with cross-functional teams, including stakeholders, domain experts, and IT professionals, to bridge the gap between technical concepts and business needs.

Implementation and Deployment: Consultants support the implementation and deployment of data science solutions within organizations. This involves integrating models into existing systems, testing their performance, and providing ongoing support.

Continuous Learning and Innovation: Data science is a rapidly evolving field. Consultants stay updated with the latest trends, techniques, and tools in data science, ensuring they bring innovative and cutting-edge solutions to their clients.

Overall, a data science consultant combines technical expertise in data analysis, modeling, and machine learning with business acumen to help organizations leverage their data assets effectively and make data-driven decisions that drive growth and success.

What are the benefits of Data Science consulting?

Data science consulting offers several benefits to organizations seeking to leverage data for informed decision-making and gaining a competitive edge. Some of the key advantages of data science consulting include:

Expertise and Specialized Knowledge: Data science consultants bring deep expertise and specialized knowledge in data analysis, statistical modeling, machine learning, and other data science techniques. They possess the skills necessary to extract meaningful insights from complex datasets and develop advanced predictive models.

Data-Driven Decision Making: By leveraging data science consulting, organizations can make informed decisions based on data-driven insights. Consultants help identify patterns, trends, and correlations in data, enabling businesses to optimize processes, identify opportunities, mitigate risks, and drive growth.

Customized Solutions: Data science consultants provide tailored solutions specific to the organization’s unique challenges and goals. They understand the context and domain expertise of the business, allowing them to develop customized data strategies, models, and algorithms that align with the organization’s needs.

Improved Efficiency and Cost Savings: Data science consultants help organizations optimize processes, automate tasks, and improve efficiency. By leveraging data insights, businesses can streamline operations, reduce costs, enhance resource allocation, and identify areas for improvement.

Competitive Advantage: Data science consulting enables organizations to gain a competitive advantage in the market. By leveraging data effectively, businesses can identify market trends, customer preferences, and competitive dynamics. This knowledge can be used to develop innovative products, target specific customer segments, and stay ahead of competitors.

Scalability and Flexibility: Data science consulting offers scalability and flexibility. Organizations can access the expertise of data science professionals on-demand, allowing them to scale their data initiatives as needed without the need for long-term commitments or extensive hiring processes.

Data Governance and Compliance: Data science consultants help organizations establish data governance frameworks and ensure compliance with regulatory requirements. They assist in data privacy, security, and ethical considerations, helping businesses maintain trust with customers and stakeholders.

Knowledge Transfer and Skill Development: Data science consultants not only provide solutions but also transfer knowledge and upskill internal teams. Through collaboration and training, consultants empower organizations to develop in-house data science capabilities, fostering a data-driven culture within the organization.

By harnessing the benefits of data science consulting, organizations can unlock the full potential of their data assets, drive innovation, make informed decisions, and achieve sustainable growth in today’s data-driven world.

What are the best scenarios to opt for Data Science consulting?

Data science consulting can be beneficial in various scenarios where organizations can leverage data to gain insights and make informed decisions. Here are some of the best scenarios to opt for data science consulting:

Complex Data Analysis: When dealing with large and complex datasets that require advanced analytical techniques, data science consulting can help. Consultants possess expertise in handling diverse data sources, identifying patterns, and extracting insights that may not be evident through traditional analysis methods.

Predictive Modeling and Forecasting: Organizations seeking to develop predictive models for forecasting customer behavior, market trends, demand forecasting, or risk assessment can benefit from data science consulting. Consultants can build robust models using machine learning algorithms to make accurate predictions and drive strategic decision-making.

Process Optimization and Efficiency: Data science consulting can be valuable when organizations aim to optimize processes, reduce costs, and enhance operational efficiency. By analyzing data and identifying bottlenecks or inefficiencies, consultants can provide recommendations to streamline workflows, improve resource allocation, and enhance overall productivity.

Customer Analytics and Personalization: Organizations aiming to better understand their customers, their preferences, and behaviors can benefit from data science consulting. Consultants can help analyze customer data, segment the customer base, and develop personalized marketing strategies, leading to improved customer satisfaction, retention, and targeted campaigns.

Fraud Detection and Risk Assessment: Data science consulting is crucial in scenarios where organizations need to detect fraudulent activities or assess risks. Consultants can develop models that analyze patterns, anomalies, and indicators to identify potential fraud cases or assess risk levels, enabling proactive measures to mitigate losses and ensure security.

Recommendation Systems: Businesses operating in industries such as e-commerce, media, or entertainment can leverage data science consulting to build recommendation systems. Consultants can develop algorithms that analyze user behavior and preferences to provide personalized recommendations, enhancing the customer experience and driving revenue.

Market Research and Competitive Analysis: Organizations looking to gain insights into market trends, competitor analysis, or product positioning can benefit from data science consulting. Consultants can analyze market data, social media sentiment, and competitor data to provide actionable insights that inform marketing strategies and decision-making.

Data Strategy and Roadmap: When organizations are embarking on a data-driven transformation journey, data science consulting can help develop a data strategy and roadmap. Consultants can assess existing data infrastructure, identify gaps, define data governance frameworks, and provide guidance on data collection, storage, analysis, and utilization.

In these scenarios and more, data science consulting provides expertise, guidance, and customized solutions to unlock the value of data, drive strategic decision-making, and achieve competitive advantages in today’s data-driven landscape.