Data Analytics

Human + Machine + Learning + Intelligence.....

We assist you to infer the unknown facts from your own data. Most organizations forget the data they collect. Knowing the finer details from your data can help you to take faster and accurate decisions and to increase business volume without additional sales spending.
(Click here for our online training program)

Capabilities

Resileo has a team of data analysts and data scientists who have helped organizations to get powerful insights from data. Our teams will do:

  • Data exploration and mapping
  • Data Cleansing
  • Data ingestion to Bigdata store
  • Data aggregation
  • Visual analytics (see gallery)
  • Apply Machine Learning and AI techniques on data

Sectors

We have handled TBs of data in the following sectors to crunch the numbers.

  • Banking & Finance
  • Insurance
  • Logistics
  • Healthcare & Pharma
  • Supply chain
  • Government - tax, public distribution system, registration system, employment details, transportation
  • IoT Sensor Data, Pollution Data
  • HR, Marketing, Customer Profile
  • Waste Management
  • Site Analysis
  • System performance data, system log file data and security data

Technology Stack

We recommend open source stack for bigdata analytics when it comes to lowest cost and highest scalability. We have done a variety of engagements using the following tools.

  • Hadoop HDFS cluster, Apache Kudu
  • Postgress cluster
  • ClickHouse, Mongo, Cassandra
  • Hive, Tez
  • PowerBI, Tableau, Metabase, Apache Superset
  • Presto, Impala query engines
  • GO, Java ETL adaptors
  • Kafka to stream data from various sources to data lake
  • R, Python, Apache Spark ML, H2O
  • AWS cloud, Azure cloud

Center of Excellence (CoE)

Resileo has helped many companies to establish CoE on data analytics. The CoE will be the model for the whole organization when it comes to any data need. CoE will be responsible to:

  • Establish data access policies, ETL policies, analytics strategy
  • Create small PoC (proof of concept) items and execute PoCs
  • Roll out successful PoCs to projects/departments
  • Collect analytics related feedback across the organization
  • Experiment Ml/AI models on data, measure results
  • Create a knowledge repository on all data needs

‍Customer List

IIT Madras
IDFC Bank
MetricStream
Merittrac
Hexaware
HCL Technologies
Global Analytics
Enstar Group
Datascan
Daimler Chrysler Research & Technology
Curatio
Compuware
CompassLabs
Cognizant
TVS Logistics
Star Health
WIPRO
Verizon
Ultramatics
Swaas
Shipnet
RCS
Adrenalin
L&T Infotech

Dr. V. Krithika, M.S., Ph.D.
Assistant Professor, Sri Ramachandra University, Chennai
Expert - Healthcare Data Analytics
Passionate about the mathematical concepts behind ML/AI, Management
Sriraman Kalyanaraman
Senior Project Advisor, ICSR, IIT Madras
Principal Data Architect, Resileo Labs
Research on data analytics/Machine learning.
Development of data models for different industries
Planning for dashboard visualization and dashboard security
Development of APM open source tool - APPEDO
Pichumani Nagarajan
Founder & CEO, Resileo Labs
Data analytics, ML, AI
Entrepreneurship
Kaushik Raghavan
Data Architect, Resileo Labs
‍ Data analytics, ML, AI
Test automation
Internet scale performance testing and tuning
Currently doing PhD at IIIT-DM Kanchipuram on data analytics