Data Science Consulting Services

MindInventory helps businesses manage complex business challenges with data-driven insights. With our data science services combined with AI/ML capabilities, we help businesses create robust data strategies, unlock the hidden insights and explore new opportunities too. We empower businesses to make smarter decisions and scale their analytics capabilities with our DSaaS (Data Science as a Service) model without investing in heavy infrastructure or an in-house team.

CONSULT NOW
15+
Data Scientists
20+
Projects Delivered
90%
Talent Retention Rate
100%
Refund Policy*
Trusted BY 1600+ Happy Clients, Including Fortune 500 Companies

Data Science Services We Offer

From strategic data science consulting services to tailored solutions, our team of data scientists offers end-to-end data science services and solutions that empower your business to leverage data effectively and seize better business opportunities.

Data Strategy Consulting

We evaluate your current data maturity and infrastructure. With this, our data scientists can identify data-driven opportunities hidden in your business workflow and help in defining KPIs and success metrics for the analytics initiative. Our data science consultants can create a strategic roadmap aligned with your business goals so you can get the maximum out of your data.

Data Collection & Integration

Our data science services include extracting data from various sources like databases, APIs, sensors, and third-party systems. Our data scientists implement ETL & ELT pipelines to transform and load data efficiently. They can also integrate structured, semistructured, and unstructured data in the preprocessing and can cleanse, standardize, and enrich data for accuracy and completeness.

Data Engineering & Infrastructure Setup

To extract the hidden value in your data, we design and implement scalable ETL and ELT pipelines so your data can move and transform easily. We build robust data infrastructure with automation, orchestration, and monitoring. We adopt DataOps practices to ensure agility, reliability, and collaboration across the entire data lifecycle.

Model Development & Machine Learning

Our team of data scientists at MindInventory identifies the right algorithms and frameworks aligning with your business goals and data types. We build custom machine learning models using supervised, unsupervised, and deep learning techniques—including NLP, computer vision, forecasting, and recommendation systems.

Model Validation & Testing

We do model testing and validation using techniques like cross-validation, A/B testing, and real-world scenario analysis. Our data scientists then measure key metrics like accuracy, precision, recall, and F1 score for reliability. They also assess model fairness, interpretability, and alignment with business KPIs. This ensures the trustworthiness of the model before deployment.

Data Visualization & Decision Intelligence

We turn your raw data into actionable insights through interactive dashboards and BI reports, revealing hidden patterns, trends, and correlations. Our services aim to empower teams across departments like marketing, operations, finance, and more to make faster and data-backed decisions. Our visualization services support decision-makers with scenario analysis and forecasting.

Model Deployment & Integration

We ensure your machine learning models are production-ready and fully embedded into your data ecosystem. From integrating predictive models into business applications to automating model outputs within operational workflows, we help you turn data science into business outcomes. Our deployment process ensures scalability, maintainability, and consistent performance in real-world use cases.

Maintenance & Optimization

Our work doesn’t end at deployment. We continuously monitor your models and data pipelines to ensure sustained performance, reliability, and business relevance. Our team proactively fine-tunes and recalibrates models using fresh data to improve prediction accuracy and automates alerts and diagnostics for proactive maintenance. From DSaaS (Data Science as a Service) to

Ready To Revolutionize Your Business Landscape With Data Science?

MindInventory is your ideal data science consulting company with a dedicated team of data scientists who will help you define world-class data solutions, solving your challenges.

man with phone
  • NDA 100% NDA-protected contract
  • resource 100% resource substitution*
  • hiring models Flexible hiring models
  • refund policy 100% refund policy*

Amazing Data Science Projects We Are Working On

Explore a range of ongoing Data Science projects, from fundamental to groundbreaking, that are poised to transform the operational dynamics of our clients' businesses.

ongoing

An automated ETL solution that transforms data from diverse sources into structured formats and stores it in Firestore, streamlining workflows for efficient data integration and management.

  • GCP - Cloud Functions for serverless execution
  • GCP - PubSub for data pipeline execution
  • GCP - Firestore for NoSQL database operations
  • GCS Bucket for ETL processing
  • Pandas for data cleaning and standardization
ongoing

An automated and secure data pipeline solution that ensures on-time and safe transfer of data from Firestore to BigQuery without missing a bit for detailed analysis, reporting, and business intelligence.

  • GCP - Cloud Scheduler for automated backup pipelines
  • GCP - Dataflow for data transfer between Firestore and BigQuery
  • GCP - Firestore for primary database management
  • GCP - BigQuery for database operations
ongoing

An ETL pipeline leveraging Apache Airflow to orchestrate data workflows across hybrid cloud environments, extracting data from MySQL, transforming it with PySpark, and storing it in a PostgreSQL data warehouse for reporting and analytics.

  • Apache Airflow for workflow orchestration
  • MySQL as source database for data extraction
  • PySpark for data transformation and cleaning
  • PostgreSQL for structured and transformed data storage
  • Docker for containerized pipeline deployment
ongoing

A real-time ETL pipeline that captures streaming data from IoT devices, processes it in real-time using Kafka Streams, and stores it in Amazon Redshift for analysis and reporting.

  • Apache Kafka for streaming data ingestion and real-time processing
  • Kafka Streams for streaming data transformation and enrichment
  • Amazon Redshift as a data warehouse for analytics and reporting
  • Grafana for data visualization
ongoing

An ETL pipeline designed to process large datasets in a data lake setup, using Google Cloud services to transform raw data into structured formats and analyze it with BigQuery.

  • Google Cloud Storage for raw and intermediate data storage
  • Google Dataflow for data transformation and processing
  • Google BigQuery for processed data storage and analysis
  • Looker Studio (formerly Data Studio) for interactive data visualization

Additional Data Science Services We Provide

As a data science development company, we blend cutting-edge techniques, machine learning models, and statistical methodologies. Utilizing all, we provide bespoke solutions that help elevate your business intelligence.

Data Collection & Preparation

Web scraping

Data extraction

Data cleaning

Data integration

Data transformation

Data profiling

Data normalization

Data enrichment

Data quality assessment

Data preprocessing

Data Analysis & Modelling

Predictive modeling

Machine learning

Statistical analysis

Text mining

Image recognition

Time series analysis

Cluster analysis

Regression analysis

Anomaly detection

Network analysis

Data Interpretation & Visualization

Data visualization

Dashboards and reporting

Data storytelling

Exploratory data analysis

Insights generation

Geospatial analysis

Sentiment analysis

Social media analytics

Customer segmentation

Recommendations systems

Our Successful Data Science Projects

Explore our latest projects as testaments to our commitment to delivering transformative data science solutions.

Hire Your Project-specific Data Science Team

churn prediction for telecom
Churn Prediction for Telecom
  • dplyr
  • Tableau
  • Matplotlib
  • ggplot2
Team Composition
  • + 1 Business Analyst
  • + Backend Engineer
  • + Data Scientist
  • + 1 UI Designer
recommendation engine
Recommendation Engine
  • Python
  • MongoDB
  • Apache Spark/Hadoop
  • TensorFlow
  • Django
Team Composition
  • + Data Scientists
  • + Backend Developer
  • + Database Administrators
  • + ML Engineers
  • + DevOps Engineers
  • + Business Analyst
predictive maintenance
Predictive Maintenance
  • Python/R
  • Hadoop/Kafka/Spark
  • PyTorch
  • scikit-learn
  • Tableau/PowerBI
  • Matplotlib/Seaborn
Team Composition
  • + Data Scientists
  • + IoT-specific Software Engineers
  • +Database Administrators
  • +Business Analysts
data visualisation platform
Data Visualisation Platform
  • Tableau
  • Redshift
  • Apache Spark
  • NumPy
Team Composition
  • + 1 Business Analyst
  • + Backend Engineer
  • + Data Scientist
  • + 1 UI Designer
medical predictive analytics
Medical Predictive Analytics
  • scikit
  • TensorFlow
  • Jupyter
  • SQL
  • EC2
Team Composition
  • + UI/UX Designer
  • + Backend Engineer
  • + Full Stack Developers
  • + Data Scientist
bank fraud detection system
Bank Fraud Detection System
  • Hadoop
  • NumPy
  • MongoDB
  • TensorFlow
Team Composition
  • + Data Scientists
  • + ML Engineerss
  • + Front-end & Backend Engineers
  • + Business Analyst

Why Do Businesses Need Data Science Solutions?

As one of the leading end-to-end data science service providers, MindInventory recommends businesses to invest in this data science technology to put their data to work and reap benefits in manifolds.

Data science solutions enable businesses to utilize the power of data they gather from various digital sources to gain actionable insights into customer behavior, market trends, and more for better informed strategic choices.

Leveraging optimized data through data science practices always helps organizations identify business opportunities and challenges and implement solutions that guide them to stay ahead in the quickly changing market conditions.

Businesses can also leverage data science approaches to optimize processes and workloads, automate repetitive tasks and streamline operations to boost productivity and save their essential time and resources.

When operating a business through various digital channels, having data science as a backbone enables businesses to understand their customer needs, preferences, and behaviors closely to meet their specific needs.

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Use Cases MindInventory Cater to With Data Science Services

Utilizing the latest tools, technologies, models, and methodologies, our team of data scientists ensures to craft custom data science solutions catering to your unique needs.

We provide transportation and logistics businesses with custom supply chain analytics and management solutions, helping them predict demand, optimizing inventory levels, and improving logistics operations.

Crafting powerful predictive analytics solutions, helping businesses predict future trends, user behaviors, and outcomes based on historical data for various applications, like sales forecasting, financial market analysis, etc.

We build dynamic route optimization solutions, leveraging ML and predictive analytics, GIS, and more methods that offer continuous adjustments and optimize routes in real-time based on changing route conditions. This benefits logistics, transportation, and delivery services.

We understand customers' demand for everything to be personalized to their liking standards. We help online stores and digital services providers utilize the power of data gathered from their various sources to offer their customers personalized online experiences.

Leveraging advanced ML models for anomaly detection and other analytics methods, our data scientists help financial institutes implement advanced financial fraud detection and risk management use cases to offer safe online financing to users.

Be it image analysis, video analysis, or live video analysis, we offer businesses custom computer vision solutions. We create media analysis modules that run automated visual inspection, tracking, and recognition operations with utmost accuracy, minimizing human errors.

Utilizing our experience in working with computer vision software development solutions, we craft solutions facilitating healthcare organizations to proactively track and monitor patients' health remotely through CCTV access to avail effective treatments.

Technical Expertise of Our Data Scientists

Our data scientists use state-of-the-art tools, technologies and methods to deliver cutting-edge data and AI solutions that modern businesses need to create better opportunities.

Languages
  • scikit-learn
  • JavaScript
  • TypeScript
  • GO
  • C++
  • Kotlin
  • SWIFT
  • Flutter
Databases
  • Solarwinds
  • TeamDesk
  • Datadog
  • TablePlus
  • Aquafold
  • SequelPro
  • SentryOne
  • Navicat
  • Knack
  • FileMaker
  • SQL
  • RazorSQL
  • MySQL
  • Clounchbase
  • MongoDB
Libraries and Packages
  • NumPy
  • Pandas
  • scikit-learn
  • OpenCV
  • NLTK
  • OpenNN
  • MLJAR
  • Keras
ML Frameworks
  • scikit-learn
  • PyTorch
  • TensorFlow
  • statsmodels
ML Algorithms and Techniques
  • Linear regression
  • logistic regression
  • Support Vector Machines (SVM)
  • XGBoost, Bagging
  • Clustering
  • time series models (SARIMAX, Holt-WInters exponential smoothing, LSTM-RNN)
  • K-means clustering
  • Ada-Boost
  • Ridge & Lasso Regression
Statistical Programming Methods
  • SPSS Statistics
  • RStudio
  • JMP
  • Minitab Statistical Software
  • OriginPro
  • Base SAS
  • TIMi
  • SuiteOrange
  • GraphPad Prism
  • Stat Graphics, XLSTAT
  • Wolfram Mathematica
Web Scraping
  • Bright Data
  • Apify
  • Oxylabs
  • Zenscrape
  • Scraper API
  • Scrapestack
  • Scrapingbee
  • SCRAPEOWL
  • Agenty
  • Import.io
  • Nutch
  • Watir
  • .Celerity
  • UiPath
  • Diffbot
  • Mozenda
Neural Networks
  • Deep Neural Networks (DNN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Generative adversarial networks (GAN)
  • Deep Q-network (DQN)
Data Analytics and Visualization
  • Pandas
  • Seaboard
  • Plotly
  • Power BI
  • Tableau
  • Matplotlib
  • TensorBoard
  • Datapine
  • R-Studio
  • Python
  • My SQL
  • SAS
  • Erwin
  • Talend
  • Jenkins
  • Apache Spark
  • Microsoft Excel
  • RapidMiner
  • OpenRefine
  • HighCharts
  • Qlik
  • Sisense
  • Redash
  • Jupyter Notebook
  • Chartio
  • Looker
  • Domo
  • D3.js
  • ChartBlocks
  • Datawrapper
  • Infogram
Machine Learning
  • Amazon Lex
  • Microsoft Azure Machine
  • Learning
  • OpenNN
  • Auto-WEKA
  • Datawrapper
  • Amazon Machine Learning
  • MLJAR
  • Apache Mahout
  • Neural Designer
  • Spell
  • IBM Watson Studio
  • RapidMiner
  • Google Cloud AutoML
  • Shogun
  • KNIME
Reporting
  • Zoho Analytics
  • HubSpot Marketing Analytics
  • Integrate.io
  • FineReport
  • Query.me
  • Answer Rocket
  • SAP Crystal Reports
  • Izenda Reports
  • DBxtra
  • Datadog
  • BIRT
  • KNIME
  • GoodData
  • Phocas
  • Microsoft Power BI
  • Whatagraph
  • Oribi
  • Juicebox
Cloud Platform
  • AWS Cloud
  • Microsoft Azure
  • Google Cloud Platform

Case Study

Explore how our data scientists have helped our clients leverage the potential of data to create transformative AI solutions.

squaredash
AI-based Instant Funding Platform
  • Dedicated Hire Team
  • Web Development

Squaredash, an insurance claim management firm, helps companies and individuals obtain insurance claims as early as possible.

  • 50% Reduction in claim processing time
  • 90% Reduced error rates
  • 95% Improvement in document processing
  • 97.5% Accuracy rate
  • 99% Increase in accessibility
  • 2X Increase adoption
VIEW CASE STUDY
slipstream
AGI Programming
  • Dedicated Hire Team
  • Product Development
  • AI/ML Development

Slipstream is an all-in-app AI-based development platform that not only automates complicated decisions but also enables the creation of complete applications effortlessly.

  • 20% Reduction in code compilation time
  • 90% Developers find it easy to adapt
  • 50% Growth in the user base
  • 40% Developer satisfaction
  • 100M+ Lines of code generated
VIEW CASE STUDY

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Why Choose MindInventory for Data Science Services?

Whether being the preferred choice as a data science consulting firm or a data science services company, MindInventory exceeds the expectation levels of global clients with the following value propositions.

Expertise and Experience

MindInventory brings a wealth of expertise and experience to the table. We have a team of skilled data scientists who have worked on various kinds of projects in different industries and helped clients achieve business data excellence.

Client-Centric Approaches

MindInventory ensures to involve clients at the center of everything we do. From understanding their business goals and challenges to delivering solutions around that, with the client-centric approach, we foster long-term partnerships.

Collaborative and Dedicated Support

The dedicated talents/team you hire for your project from our team, work as your remote extended team. Hence, you'll have direct contact with them during the agreed working hours for effective collaboration.

Technological Excellence

Our team of Data scientists leverage the latest tools, technologies, and methodologies suitable for the project to deliver custom solutions, keeping them at the forefront of technological advancements.

Timecrafted Deliveries

Following agile best practices and project planning with intelligent productivity tools, we smartly manage the project pace and deliver the solution within the agreed timeline while ensuring its top-notch quality.

Flexible Engagement Models

Instead of working on unwanted rigid and strict parameters, we offer our clients the flexibility to choose engagement models and switch in between based on their changing needs to ensure long-term, reliable association.

Industry-Specific Data Science Solutions We Build

Leveraging cutting-edge technologies and domain expertise, we develop data science solutions that address specific challenges and opportunities present in your industry.

We develop reliable telemedicine app solutions that provide doctors and patients with a seamless interface to interact and get necessary medical advice.

  • Diagnostic Imaging AI
  • Natural Language Processing (NLP) for EMR
  • Chatbots and Virtual Health Assistants
  • Drug Discovery and Development
  • Predictive Analytics for Patient
  • Robotic Surgery and Assistance
  • AI for Mental Health
  • Remote Patient Monitoring

Develop a scalable individual Laboratory Information Management System to keep track of laboratory records, laboratory instrumental inventory, test result records, and much more.

  • Fraud Detection and Prevention
  • Algorithmic Trading
  • Credit Scoring and Risk Assessment
  • Chatbots and Virtual Assistants
  • Know Your Customer (KYC) Compliance
  • Predictive Underwriting in Insurance
  • Predictive Analytics for Customer Behavior
  • Cash Flow Prediction

Build comprehensive hospital management software to get total control over your hospital procedures with seamless staff and patient data management, deliver quality healthcare services, and improve your entity's reputation in the industry.

  • Predictive Analytics for Property Valuation
  • Predictive maintenance
  • AI based Energy Efficiency Optimization
  • Construction Safety Monitoring
  • Real Estate Market Forecasting
  • Automated Property Inspections
  • Drone Technology for Site Surveys

Whether it's optimizing prices or automating routine tasks, Hire AI engineers catering to different intricacies of retail and e-commerce businesses to build AI solutions that they need to thrive in today's digital era.

  • Personalized Product Recommendations
  • Dynamic Pricing Optimization
  • Smart Inventory Management
  • Demand Forecasting
  • AI/ML Chatbots and Virtual Assistants
  • Image/Video Recognition for Visual Search

Hire AI experts to develop solutions for the education industry, catering to the evolving needs of students, educators, and institutions, ensuring improved learning outcomes and operational efficiency.

  • Personalized Learning Platforms
  • OCR-based Exam Paper Grading
  • CV-based School Surveillance System
  • Predictive Analytics for Student Success
  • LLM-based Customized Curriculum Creation
  • CV-based Student Engagement System

About Us

Crafting cutting-edge digital solutions with creative minds

Who We Are

A Mindful team of tech innovators bringing world-class tech ideas to reality. We embrace the power of technology to provide cutting-edge digital solutions that propel our clients toward unprecedented success.

250+

Tech Experts On-board

tech experts on-board
14+

Years Of Expertise

years of expertise
2500+

Projects Delivered

projects delivered
40+

Countries Served

countries served
What Drives Us?

Creativity is our heartbeat. We constantly challenge ourselves to further our technical prowess and help our customers to deliver exceptional customer experience.

250+

Tech Experts On-board

tech experts on-board
14+

Years Of Expertise

years of expertise
2500+

Projects Delivered

projects delivered
40+

Countries Served

countries served
Our Achievements & Certifications
clutch
star star star star star 4.6

Top IT services company

goodfirm
star star star star star 4.7

Top mobile app development company

designrush
star star star star star 4.8

Top mobile app development company

top-developers
star star star star star 5.0

Top mobile developers

Client’s Testimonial
How Gratitude App has achieved more engagement rate of users across the age.

Erika finds MindInventory a unique and reliable team of creative designers to continue work with that has helped bring her dream app into reality, which is playing a pivotal role in helping users showcase gratitude.

Erika Migliaccio
Erika Migliaccio
United States United States
Client’s Testimonial
How a SaaS solution created by us is receiving increasing feature adoption

Ryan Miller finds MindInventory a great technology partner who exceeded his and his team’s expectations with the top-notch quality design and development deliverables of his mission-critical SaaS app development project.

Ryan Miller
Ryan Miller
United States Australia
Client’s Testimonial
How object Recognition Transformed Healthy Living

Data scientists and AI/ML engineers at MindInventory, hired by the Passio team, played a pivotal role in building the AI-powered SDKs that enable users to keep on their daily nutrition consumption and ensure a healthy lifestyle.

Dmitiry Richard Starson
Dmitiry Richard Starson
United States Australia
Client’s Testimonial
How EnneaApp is still the grosser, guiding users to learn about their personality type

A business association of 11 long years and yet counting to make the EnneaApp much better and user-centric to meet and exceed the vision to make this world a better understandable and mindful place to live in.

Elan BenAmi
Elan BenAmi
United States Australia
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Frequently Asked Questions

Here's a list of FAQs that will help you to know more about our data science services.

In the fast-paced world where there’s a constant requirement for technical expertise and diverse skill sets, opting to hire data scientists to work as your dedicated remote talents can bring several advantages to the table:

  • Rapidly onboard data scientists with specific skill sets and experience, reducing the need for extensive training and understanding to align with company culture.
  • Offers continuous monitoring and proactive assistance in analyzing data and optimizing business processes for better outcomes.
  • Focused and committed solely to your project or tasks, delivering value.
  • With a dedicated focus on tasks, they work more efficiently and deliver quality results on time.
  • Adopted to meet changing project requirements.
  • Maintains consistent communication and collaboration throughout the project, ensuring alignment with project objectives.

Our data scientists, with experience in handling various project complexities, follow a proven approach for data science projects. It begins with understanding the problem statement, gathering data (from clients if available), conducting Exploratory Data Analysis (EDA), and cleaning and preprocessing data using data engineering best practices.

After creating data pools, they design the architecture for the machine learning (ML) system according to custom demands and train it based on the prepared datasets. Following this, they subject the ML models to testing to identify and rectify loopholes and bottlenecks. Subsequently, they proceed to integrate ML systems and models with the necessary software build or IT operations, a process also known as MLOps, to make it available for use.

Upon the successful deployment of the ML model, MLOps helps to streamline and automate the system for proactive monitoring and maintenance in a real-world production environment, enabling the utilization of advanced applications.

Our data scientists follow ethical guidelines, make algorithms transparent, and conduct regular security audits. They anonymize and de-identify data, address biases, and obtain user consent transparently. Our team follows strict security protocols and data science best practices and integrates industry-specific compliances to create fair systems, ensuring the responsible and ethical use of artificial intelligence.

Our data scientists have hands-on experience in working with the following modern tools and technologies, leveraging which they ensure to deliver top-notch data science solutions:

  • ML Frameworks: Sci-Kit learn, PyTorch, TensorFlow, statsmodels
  • Modules/Toolkits: Python, SQL, MongoDB
  • ML Models: Linear regression, logistic regression, Support Vector Machines (SVM), XGBoost, Bagging, Clustering, time series models (SARIMAX, Holt-WInters exponential smoothing, LSTM-RNN)
  • Neural Networks: Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN)
  • Libraries: NumPy, Pandas, Sci-Kit Learn, OpenCV, NLTK
  • Data Visualization: PowerBI, Plotly, seaborn, matplotlib
  • Cloud Platform: AWS Cloud, Azure, GCP

Certainly, with our expertise in crafting tailored data science solutions, we assist our clients in seamlessly integrating these solutions with their existing systems. We also go the extra mile by fine-tuning the integration to ensure a smooth and cohesive user experience with the system.

With the ever-expanding use cases of data science, almost every sector can derive value from harnessing the power of data for their specific purposes. However, here are the industries that are more likely to derive the most substantial advantages from data science, which include:

  • Healthcare: to enhance patient care, optimize hospital operations, and in medical research
  • Finance: for fraud detection, risk management, algorithmic trading, personalization, etc.
  • Retail and E-commerce: optimize pricing strategies, forecast demand, manage inventory efficiently, offer personalized custom experiences, etc.
  • Transportation and Logistics: for route optimization, demand forecasting, predictive maintenance, and overall improving logistics operations efficiency.
  • Education: for personalized learning experiences, optimizing resource allocations, and enhancing overall educational outcomes.

The timeline for implementing data science solutions can vary significantly based on the complexity of the project, the size of the dataset, the scope of the analysis, and the specific goals of the solution.

The process to start your data science development and integration project with MindInventory is very simple. All you need to do is fill out the Contact Us form. You can also directly email us or message us on Skype with your requirements and project-related references or documents, if available, for quick assistance to get started with MindInventory.