Data Science and Machine Learning
Excavate Research provides Data Science services and solutions which best suit the client’s ETL Process needs and Machine Learning Model requirements to gain insights from data that grows continuously across various industries.
Our Data Science Consultants with the help of Artificial Intelligence and Machine Learning will turn your data into insights and competitive advantage. We provide companies with reliable Data Science consulting and AI applications.
Today, enterprises are applying data science to unlock the value of Big Data with actionable insights to allow for data-driven decisions for products and services that reduce customer churn, better understand your customers, personalize customer experience, automate, improve business processes & customer satisfaction, optimize operations, re-define business strategies and increase revenue.
Our certified Data Science experts have extensive hands-on experience with various Data Science tools and technologies such as Apache Spark, Apache Hadoop, Tableau, R studio, QlikView, Google TensorFlow™ and more, to implement multi-step ETL processing, data visualization, and machine learning solutions.
Data Science Capabilities
Our Data Science services help customers meet the demands of today, plan for tomorrow and quickly realize tangible business benefits through data integrity and actionable insights.
Data Collection
- Structured and Unstructured
- Semi-structured
- RDBMS & Big Data
- Distributed File System (HDFS)
- Flat file (text, csv, json, logs)
- Emails, Websites & Web APIs
Data Processing
- Data Cleansing
- Data Profiling
- Normalization, Text Mining
- Data Extractor
- Data Transformation
- Load Data to Data Warehouse
Feature Engineering
- Locality Sensitive Hashing (LSH)
- Principal Component Analysis (PCA)
- Singular Value Decomposition (SVD)
- Text Transformation (word2vect, TF-IDF)
- Vectorization, Indexer
- Feature Scaling
Optimization & Evaluation
- Cross Validation
- Hyper parameter Tuning
- Gradient Descent, SGD
- Ensemble & Boosting
- RSS, RSME, MSE
- Log-loss, F-measure, Precision-Recall
Machine Learning
- Regression Algorithms
- Classification Algorithms
- Support Vector Machine (SVM)
- KD-Tree, Decision tree, Random Forest
- K Nearest Neighbors (KNN)
- K-means, Latent Drichlet Allocation
Deployment
- Model Deployment
- Model Serving
- Model Pipeline
- Managed Deployment
- Monitoring
- Evaluation
Data Science Use Cases
Anomaly Detection
Apply predictive models to real-time transactional data that monitors supervised and unsupervised processes to identify fraudulent activities and take preventative actions.
Internet of Things Analytics
Stream data from connected devices and process them for value-added operational analytics: Optimizing supply chains and the management of assets.
Social Listening and Sentiment Analysis
Perform sentiment analysis of reviews and comments about products and services on various social media platforms.
360-degree Single View
Build single view of X (customer, employee, supplier, and partner) to understand, segment and manage information in a more effective way to improve engagement and satisfaction.
Predictive Analytics
Design custom recommendation engine that reduces dimensionality and applies collaborative filtering to recognize patterns from historical, past behaviors and third-party APIs to make predictions about future business opportunities.
Technologies
We provide companies with reliable Data Science consulting and AI consulting services using open source and commercially trusted technologies.
Get in Touch: Let us make things easier!
This is where all your Data Monetizing requirements comes to an end, for all times.