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Hire Data Scientists For Your Evolving Project Development Needs
Data Pipeline Development
Data Warehousing
ETL Processes
Data Quality Management
Data Integration Consultation
Real-time Data Streaming
Big Data Processing
Data Governance Compliance
Data Visualization and Reporting
Database Optimization
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.
Let's DiscussData Science Solutions for Your Custom Business Need
- UI/UX Designer
- ML Engineer
- Mobile App Developers
- Data Scientist
- ML Engineer
- Backend and Frontend Engineers
- DBA
- Data Scientist
- AI Engineer
- Frontend and Backend Engineers
- DBA
- Project Managers
- Business Analyst
- Backend Engineer
- Data Scientist
- ML Engineer
- Backend Engineer
- Full Stack Developers
- Data Scientist
- Business Analyst
- Backend Engineer
- Data Scientist
- UI Designer
- Data Scientist
- ML Engineer
- IoT Engineer
- Backend Developer
- DevOps
Tell us more about it and we will suggest best fitting team compositions for free
Amazing Projects Our Data Scientists Are Working On
Our Best Data Science Success Stories
Hire Data Engineers From India in 4 Easy Steps
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Step 1Share Your RequirementsFill out the contact us form or email us your project requirements for us to cater to or specific skills you want to hire from our team.
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Step 2Shortlist the Right-Fit TalentAs per your requirements, we’ll conduct a talent screening and curate a list of right-fit talents you can hire.
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Step 3Interview the TalentPick the right-fit talent for your project to interview, test their skills, and know their approaches to work on your project.
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Step 4Onboard & Begin the ProjectOnce you find your right-fit talent, we’ll help you remotely onboard, begin the project, and provide managed support.
Key Skills Our Expert Data Scientists Have
Skills in tools for data cleaning, transformation, and feature engineering
Familiarity with frameworks like TensorFlow, PyTorch, and more for building and deploying complex deep-learning models.
Knowledge of data warehouse design, modeling, and optimization for efficient data storage and retrieval
Understanding of data governance principles and regulations to ensure responsible data handling and compliance.
Familiarity with distributed processing frameworks and cloud-based solutions for handling large datasets
In-depth knowledge of data extraction, transformation, and loading techniques.
Expertise in various machine learning algorithms for extracting insights from data
Proficiency in data visualization tools like Tableau, Power BI, or more to create insightful reports and dashboards.
Technical Expertise of Our Data Scientists
- Python
- JavaScript
- TypeScript
- GO
- C++
- Kotlin
- SWIFT
- Flutter
- Solarwinds
- Datadog
- Aquafold
- SentryOne
- Navicat
- SQL
- RazorSQL
- MySQL
- TeamDesk
- TablePlus
- SequelPro
- Knack
- FileMaker
- Clounchbase
- MongoDB
- NumPy
- Pandas
- scikit-learn
- OpenCV
- NLTK
- OpenNN
- MLJAR
- Keras
- scikit-learn
- PyTorch
- TensorFlow
- statsmodels
- Linear regression
- Logistic regression
- Support Vector Machines (SVM)
- XGBoost
- Bagging
- Clustering
- Time Series Models (SARIMAX, Holt-WInters exponential smoothing, LSTM-RNN)
- Holt-WInters exponential smoothing, LSTM-RNN)
- K-means clustering
- Ada-Boost
- Ridge & Lasso Regression
- SPSS Statistics
- RStudio
- JMP
- Minitab Statistical Software
- OriginPro
- Base SAS
- TIMi
- SuiteOrange
- GraphPad Prism
- Stat Graphics
- XLSTAT
- Wolfram Mathematica
- Bright Data
- Apify
- Oxylabs
- Zenscrape
- Scraper API
- Scrapingbee
- Agenty
- Import.io
- Nutch
- Watir
- Celerity
- UiPath
- Diffbot
- Mozenda
- Deep Neural Networks (DNN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Generative Adversarial Networks (GAN)
- Deep Q-Network (DQN)
- 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
- 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
- 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
- AWS Cloud
- Microsoft Azure
- Google Cloud Platform
Reach out to our data science team to explore how we can help you transform your data into valuable insights and opportunities.
Hire Data ScientistWhy Hire Data Science Developers from MindInventory?
Client's Testimonial
Frequently Asked Questions
At MindInventory, we prioritize ethical and responsible data science by incorporating the following practices:
- Bias detection and mitigation strategies
- Ethical AI development frameworks
- Privacy and data protection protocols
- Transparent algorithmic decision-making
- Compliance with global data regulations
- Responsible innovation principles
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