ABOUT US

 

As Data Science House we monetize data.

We know how to leverage AI and BI 

by implementing intelligence into business processes

to boost and automate your operations. 

Our Scientists and Engineers
are here to deliver Data & AI Solutions.

 

OUR CLIENTS

OUR FOCUS

 

 

OUR COMPETENCES

PARTNERING WITH LEADING TECHNOLOGY COMPANIES

WHAT WE DO

• We design and implement complete Enterprise Data Science dedicated to your needs: AI, MLOPS, FEATURE STORE, CLOUD.
• We deliver Data Lake & BI Platforms – enabling easy access and analysis of data across the company.
• We help in Data Engineering, Visualization and Machine Learning.
• Our areas of excellence in delivering AI Solutions:

  Supply Chain:	Demand Forecasting, Inventory Optimization, Allocation & Replenishment, Delivery Optimization, Fraud Detection
  CRM & Products:	Promotion Optimization, Recommendation Engines, Price Elasticity, Customer Analytics, Prevent Churn
  Manufacturing:	Production Quality Management, Workforce and Capacity Planning

 
 
 

WE DELIVER AI SOLUTIONS

DEMAND FORECASTING

Leverage AI to predict future demand to optimize logistics, supply and stock cost.

INVENTORY OPTIMIZATION

Advanced AI approach involving a models taking serious control of the inventory operations, with human checks.

PROMOTION OPTIMIZATION

AI-Powered trade promotion to drive sales by identifying the most relevant price and promotional content to offer to each customer.

RECOMMENDATION ENGINES

Identify products that customers are most likely to purchase based on their purchasing history and behaviour.

DELIVERY OPTIMIZATION

Use ML to manage your supply chain automatically by studies multiple options before picking a specific, good one that maximize efficiency while meeting customer requirements.

PREDICT & PREVENT CHURN

Use AI to identify customers who are most likely to churn and predict the most optimal retention offers.

FRAUD DETECTION

Fraud is perfect case for AI and has a long track record of successful use.

ADVANCED MANUFACTURING

Use AI to detect issues in processes, quality, and equipment failures ahead of time and don’t waste time on hundreds of false alarms.

WE DELIVER MODERN DATA PLATFORMS

• Modernize your current Data Platform with scalable and simple to manage cloud solution at scale
• Effectively process large amount of data pipelines with Data Lake consistent platform
• All capabilities required for scientists and analysts to store data to power intelligent actions.

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• Understand the potential of your data by enabling easy access and analysis of data across the company with modern BI
• Create data-driven culture and get a full picture of business

• Stream analytics in real time

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• Simplify ML lifecycle by implementing Feature Store & MLOps and make models part of your daily operations.
• Collaborative environment (Python, R, Scala, SQL) enabling a diverse team of data analysts work together, manage models, code and deploy ML pipelines into production

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OUR SERVICES IN DATA SCIENCE

 

 

DATA SCIENCE OUTSOURCING

Rent our trusted engineers, part-time, full-time, fixed price, managed team for as long as you need.

• Python, pySpark, Scala, SQL, 4GL
• Kafka, Databricks, Airflow, Google Cloud Composer
• Snowflake, Athena, Cosmos DB, Hive, Google BigQuery
• ADLS gen2, HDFS, S3, Google Cloud Storage
• AWS, Azure, GCP

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• PowerBI, Tableau, SSAS, SSIS, SSRS, SAS VA
• DAX, M (Power Query)
• SQL, Relational DB
• Power Platform, Azure DevOps
• Domain knowledge

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• Python, R, SAS, Spark, pySpark, Pandas, scikit-learn, XGboost, TensorFlow, MLlib, Hyperopt, SPSS, SQL
• ML pipelines, Forecasting, Deep learning, AutoML
• Azure: ML, Synapse
• GCP: Vertex AI, BigQuery
• AWS: SageMaker

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• Terraform, Ansible
• MLflow, KubeFlow, Hopsworks, SAS
• Kubernetes, Docker, ELK Stack, AKS, Graphana, Prometheus
• GitLab, Jenkins, Azure DevOPS, DataOps
• RHEL, SLES, Debian, Windows

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IMPLEMENTATIONS

BI DASHBOARDS

MODERN DATA ANALYTICS

REAL-TIME MACHINE LEARNING

BI MIGRATION TO CLOUD

ML PRODUCTION WITH OPEN SOURCE

SAS INTEGRATION WITH OPEN SOURCE

ONLINE SCORING

BIG DATA

AI ACADEMY

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Master your knowledge of advanced data analysis methods:

• Learn how to build prediction models with SAS or SPSS.
• Study best practices for Machine Learning with Python and R.
• Excel in Visual Analytic skills with Tableau.
• Look into real-world utilization of recognized ML algorithms for business.
• Exploit our tailored courses diverse advanced statistical modeling for business.
• Adopt best practices of data processing and manipulation with Vertica.

CONTACT US

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