DarkRockMountain

Data Science


At DarkRockMountain, our data scientists use the best tools and techniques to gather structured and unstructured data, ensure its reliability, and derive business-relevant knowledge that drives large-scale decisions.

Making Sense of Your Data

Our data science consultants help you harness the full potential of your data to develop high-tech solutions, access valuable information, and address key business challenges effectively.

  • Operational Optimization

    • Workflow streamlining
    • Asset management
    • Predictive maintenance
    • Demand forecasting
    • Supply chain optimization

  • Customer Analytics

    • Customer segmentation
    • Personalized marketing
    • Market trend prediction
    • Sentiment analysis
    • Recommendation systems

  • Risk Management

    • Fraud detection
    • KYC automation
    • Investment management

  • Big Data Management

    We collect, process, and store data by establishing ETL processes, which involve extracting data from selected sources, transforming it based on business logic, and loading it into data warehouses and data lakes.

  • Data Engineering

    We transform data so it can be processed by algorithms. Our data engineers perform data cleaning and feature selection to detect and limit bias, avoiding overfitting problems in the subsequent modeling phase.

  • Data Modeling

    We build data models, including machine learning models, with cleansed datasets, enabling them to recognize patterns and relationships between data points, understand their dynamics, and provide useful business insights.

  • Data Visualization

    We implement stand-alone or integrated data visualization tools, such as dashboards and other visual data exploration interfaces, to ensure clear data storytelling and facilitate decision making.

Leveraging our extensive knowledge of leading AI-oriented tools, platforms, and services, we select the appropriate technology stack to deliver impressive solutions.

Libraries and Frameworks
Network Architectures
AI and ML Services
Data Integration Tools
Data Storage Services
Data Analytics Platforms
Data Visualization Tools
  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-Learn
  • Theano
  • MXNet
  • NumPy
  • NLTK
  • Pandas
  • Caffe
  • MLlib
  • SparkML
  • Sonnet
  • DarkNet
  • Catboost
  • XGBoost
  • LightGBM
  • Annoy
  • Faiss
  • NvidiaDigits
  • OpenCV
  • Microsoft Cognitive Toolkit
  • Neural Radiance Field (NeRF)
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • YoloNet
  • Skeleton Detection
  • U-Net
  • Generative Adversarial Network (GAN)
  • AlphaPose
  • Pose2Seg
  • RetinaFace
  • DBSCAN
  • Clustering Algorithms
  • Regression Algorithms
  • Classification Algorithms
  • Amazon SageMaker
  • Amazon Rekognition
  • Amazon Lex
  • Amazon Polly
  • Azure Machine Learning
  • AWS Deep Learning AMIs
  • Azure Cognitive Services
  • Azure Bot Service
  • Azure Language Understanding
  • Cloud Machine Learning Engine
  • Cloud Vision API
  • Cloud Natural Language AI
  • Cloud Speech API
  • DialogFlow
  • Amazon Transcribe/Amazon Polly
  • Amazon Comprehend
  • Google Cloud AutoML
  • NVIDIA CUDA
  • OpenAI API
  • Azure Data Factory
  • Azure Functions
  • Azure Event Grid
  • Azure Event Hubs
  • Azure Databricks
  • Microsoft SQL Server Integration Services
  • AWS Glue
  • AWS Data Exchange
  • Apache Nifi
  • Talend
  • Informatica PowerCenter
  • Dell Boomi
  • MuleSoft Anypoint Platform
  • IBM InfoSphere Information Server
  • Oracle Data Integrator
  • SnapLogic
  • Syncsort
  • Striim
  • Pentaho
  • Fivetran
  • Matillion
  • Azure Blob Storage
  • Azure Data Lake Storage
  • Azure SQL Database
  • Azure SQL Database Elastic Pool
  • Azure SQL Managed Instance
  • Azure Cosmos DB
  • Microsoft SQL Server
  • Amazon S3
  • Amazon Redshift
  • Amazon Aurora
  • Amazon RDS
  • Amazon DynamoDB
  • Amazon ElastiCache
  • PostgreSQL
  • MySQL
  • Oracle
  • Google Cloud Storage
  • IBM Cloud Object Storage
  • SAP HANA
  • SQLite
  • Teradata
  • Azure Analysis Services
  • Azure Stream Analytics
  • Azure Synapse Analytics
  • Microsoft SQL Server Analysis Services
  • Microsoft Power BI
  • Grafana
  • QlikView
  • Tableau
  • Sisense
  • Amazon Athena
  • Amazon Redshift
  • Amazon Kinesis Data Analytics
  • Google Cloud Storage
  • IBM Cloud Object Storage
  • SAP HANA
  • SQLite
  • Teradata
  • Datawrapper
  • Chartist.js
  • matplotlib
  • seaborn
  • bokeh
  • Plotly
  • Altair
  • ggplot
  • Infogram
  • Google Charts
  • Fusion Charts
  • D3.js

Technologies we use in our Data Science Services:

Our data science services leverage machine learning, AI, and deep learning technologies to meet ambitious analytics needs.

Programming Languages

  • Java

  • Python

  • logo--r-script

    R

  • Scala

Cloud

  • AWS - Amazon Web Services

    AWS

  • Microsoft Azure

    Azure

  • Google Cloud

    Google Cloud

Databases

NoSQL Databases

  • Amazon Neptune

  • Apache HBase

  • Apache Nifi

  • ArangoDB

    ArangoDB

  • Cassandra

  • Elasticsearch

  • Lucene

  • MongoDB

  • Neo4j

  • Redis

  • Weaviate

SQL Databases

  • Microsoft SQL

  • MySQL

  • Oracle

    Oracle

  • PostgreSQL

Data Engineering & Analytics

Big Data

  • Apache Spark

  • Apache Storm

  • Confluent

  • Databricks

  • Apache Flink

    Flink

  • Hadoop

  • Hive

  • Kafka

  • Presto

    Presto

  • Snowflake

Machine Learning & Data Science

  • Alteryx

  • Apache Mahout

  • Jupyter

    Jupyter

  • Keras icon

    Keras

  • LightGBM

  • Mathworks icon

    MatLab

  • NumPy

    NumPy

  • OpenCV

  • pandas

    Pandas

  • PyTorch icon

    PyTorch

  • logo--r-script

    R

  • Scikit-learn

    Scikit-Learn

  • SpaCy

  • TensorFlow icon

    TensorFlow

  • Theano

DevOps

Configuration Management & Automation

  • Ansible

  • Packer

  • Terraform

CI/CD Tools

  • GitHub

  • GitLab

  • Jenkins

Containerization

  • Docker

  • Kubernetes

Security

  • HashiCorp Vault

  • OWASP

    OWASP ZAP

  • Snyk icon

    Snyk