Technology


Technology is fast evolving in the Data Science, Artificial Intelligence and Automation areas. There are many open source options, apart from commercial tools & technologies. There are on-premise as well as cloud options that meet diverse needs of enterprise customers.

Team krtrimaɪQ has delivered solutions using many of these tools & technologies. A sample list of tools & technologies given below. Click on the tool to view the demo.

  1. ML Platforms: Azure ML Studio and ML Service, H2O, BigML
  2. Predictive/Prescriptive Analytics: scipy, scikit-learn, statsmodels, xgboost, surprise, Numpy, Pandas
  3. Computer Vision: scikit-image, PIL, OpenCV
  4. Natural Language Processing: nltk, gensim
  1. Vehicle Insurance Fraud Analytics
  2. Customer Propensity Model for retail bank
  3. Medical Insurance Fraud Analytics
  4. Telecom Customer Churn Analysis
  1. Azure Cognitive Services
  2. TensorFlow, Keras
  3. Google Text, Vision and Speech APIs
  1. Automation Anywhere
    1. Control Room, TaskBot, MetaBot, IQBot
  2. UiPath
    1. Desktop, Cloud, Orchestrator
  1. RPA demos
  1. GraphDb: Neo4j
  2. Hadoop eco system: HDFS, HBase, MapReduce, Pig, Hive, Spark, Kafka, Sqoop and Flume
  1. Neo4j GraphDB demos