Data Science Services

Data Science Services

202data provides intelligent data science services to suit its clients’ ETL processes and machine learning needs to get insights from their data and optimize their enterprise processes, products and services while building applications and data lakes securely in the cloud.

Companies today are applying data science to seize the value of Big Data with applicable insights that allows them to make data-driven decisions for products and services that reduce customer friction, improve satisfaction, optimize operations, redefine business strategies and increase revenue.

What we do

Data Collection
  • Structured and Unstructured
  • Semi-structured
  • RDBMS & Big Data
  • Distributed File System (HDFS)
  • Flat file (text, csv, json, logs)
  • Emails, Websites & Web APIs
Optimization & Evaluation
  • Cross Validation
  • Hyper parameter Tuning
  • Gradient Descent, SGD
  • Ensemble & Boosting
  • RSS, RSME, MSE
  • Log-loss, F-measure, Precision-Recall
Data Processing
  • Data Cleansing
  • Data Profiling
  • Normalization, Text Mining
  • Data Extractor
  • Data Transformation
  • Load Data to Data Warehouse
Machine Learning
  • Regression, Classification Algorithms
  • Monte Carlo Simulations
  • Support Vector Machine (SVM)
  • KD-Tree, Decision tree, Random Forest
  • K Nearest Neighbors (KNN)
  • K-means, Latent Drichlet Allocation
  • Recommendation Systems
Feature Engineering
  • Locality Sensitive Hashing (LSH)
  • Principal Component Analysis (PCA)
  • Singular Value Decomposition (SVD)
  • Text Transformation (word2vect, TF-IDF)
  • Vectorization, Indexer
  • Feature Scaling
Deployment
  • Model Deployment
  • Model Serving
  • Model Pipeline
  • Managed Deployment
  • Monitoring
  • Evaluation

Tools and technologies we use