We drive your business efficiency and performance with the power of data
Industry recognition
Improve your sales by personalizing of the content
Design a recommendation engine
We can design a recommendation engine to increase the sales with ML algorithms and collaborative or content-based filtering. Our experts applying machine learning models such as FAISS, NMSLIB for similarity search. Your customers shall be happier with relevant product offers, personalized web-page content and promo offers.
Build an opportunity or threat scoring
We can build an opportunity or threat scoring for customers and products, so your sales team can design and optimize business strategy accordingly their efforts priority. Our experts perform cutting edge resampling algorithms (SMOTE & Tomek links, ADASYN) to handle imbalanced data, when outcomes of interest are very rare. Also, we use modern unsupervised learning algorithms such as HDBSCAN for automated clustering and segmentation.
Create a model
Besides, we can create a model to make your communication with customers stellar. Trained to detect attitude markers and recognize your customers’ mood, the model will signal your sales team if a particular customer experiences negative emotions. Also using Gradient Boosting techniques we can extract the most influent features for these changes.
Schedule a call to assess and discuss your IT project and how we can helpful to implement it
What we do
Optimize your business by monitoring your customers’ mood
Our data scientists use machine learning models, advanced algorithms and other tools for handling imbalanced data, attitude marker detection, and customer mood recognition.
Tools and solutions:
- Automated customer/product segmentation and scoring
- Recommender systems and personalization
- Behavioral pattern analysis and recognition
- Improve Engagement with impacts analysis
- Feedback and reviews sentiment scoring and text similarity detection
- Smart survey result processing
Optimize your business by monitoring your customers’ mood
Our data scientists use machine learning models, advanced algorithms and other tools for handling imbalanced data, attitude marker detection, and customer mood recognition.
Tools and solutions:
- Automated customer/product segmentation and scoring
- Recommender systems and personalization
- Behavioral pattern analysis and recognition
- Improve Engagement with impacts analysis
- Feedback and reviews sentiment scoring and text similarity detection
- Smart survey result processing
Technologies
With our data engineers on board, you can create centralized, scalable fault-tolerant Data Lake, which will be integrated into your infrastructure. We'll clean the data and help to create ETL pipelines and streams that store your information in a Data Warehouse. Our data scientists and analysts are able to create AI-models for Your business needs. Results of modelling and forecasting our business intelligence experts will transform in well-structured visualization which will help your decision-makers to comprehend business-critical information.
Cloud Platforms
Amazon Web Services
Google Cloud Platform
Yandex Cloud
Libraries & Frameworks
TensorFlow, Keras
NLTK, Gensim, SpaCy, DeepPavlov
NMSLIB, HDBSCAN, FAISS
CatBoost, XGBoost, LightGBM
Scikit-Learn, SciPy, SimPy
Databases & DWH
BigQuery, Athena, Redshift, ClickHouse
MySQL, PostgreSQL, MSSQL
MongoDB, DocumentDB, BigTable
Redis, Memorystore, ElastiCache
Storages
Google Cloud Storage
AWS S3
Yandex Object Storage
Hadoop HDFS
API for models
Google AI Platform Models
Google Cloud Functions
Google Cloud Run
AWS Lambda
Yandex Cloud Functions
OpenFAAS (AIOHTTP, Flask)
Testimonials
We are proud of the great projects Andersen has taken part in. Here is what our customers say about our expertise in Data Science & Big Data.
Contact us for a free consultation on Data Science
Need a hand with your Data Science? Fill out the form below to receive a free consultation and find out how Andersen can help your business grow.
What happens next?
An expert contacts you shortly after having analyzed your business requirements;
When required by you, we sign an NDA to ensure the highest privacy level;
A Pre-Sales Manager submits a comprehensive project proposal. It may include estimates, timelines, lists of CVs, etc., for a particular situation;
The team assembled for your IT project can start delivering within ten business days.