Big Data Implementation Projects

Developing end-to-end Solutions, Custom Applications, POCs, and Demos using the latest Big Data, Artificial Intelligence, Cognitive Services & Machine Learning technologies.

Technologies Used:
HDInsights, HDInsight Spark, Azure, EventHub, Azure Streaming Analytics, Azure Machine Learning, Azure Data Factory, Azure Storage, Cognitive Analytics, Data Lake Analytics, R Server, CosmosDB, Azure SQL DB, Azure Data Lake, Azure SQL Data Warehouse, Polybase, Xamarin Apps, PowerBI

Image Quality Detection Platform

Technologies Used: TensorFlow, Google Vertex AI, Google AI Platform , Google Kubernetes Services, Azure Data Factory, Azure Function Apps, CosmosDB

Data Platform + Daily Ops

Technologies Used: Amazon AWS, Amazon S3, Amazon Redshift, Amazon Glue, Amazon Lambda Functions, Python

Anomaly Detection Platform

Technologies Used: Apache Spark, Kafka, InfluxDB, Kapacitor, TensorFlow (LSTM), fbProphet, Docker, Kubernetes, Amazon AWS Cloud

AI Based Cyber Security Platform
NLP based Search Engine
Technologies Used: Apache Spark, Kafka, MongoDB, Datastax Cassandra, Docker, Kubernetes, Calico, Prometheus, Grafana, Helm, IBM Cloud, React, Springboot Microservices, NGINX, Solr, NLTK, Python Flask, Dockers, Kubernetes, IBM Private Cloud

Campaign Conversion Platform

Technologies Used:Apache Hadoop, MapReduce, Apache Spark, Apache Spark Machine Learning, Couchbase, Amazon EC2, S3.

Semantic Search
Technologies Used: Azure Cognitive Search, Azure Custom Skills, Open Source NLP Algorithms (NLTK), Python, Responsive HTML

Predictive Maintenance Platform
Technologies Used: Apache Spark, Apache Kafka, Apache Ignite, Hadoop HDFS, HP Vertica, App Server, Shiny R Server, D3.js

Marketing Analytics Platform

Technologies Used: Apache Hadoop, MapReduce, Hive, Pig, MySQL, Google Cloud Platform.

Data Platform Development

Technologies Used:  NA