ML-AI and NLP Modeling

Use compute power to solve problems that are tough for humans.

Augment human intelligence with artificial intelligence.

What we do

  1. Identify ML data candidates
  2. Identify outliers, identify data distribution
  3. Apply prediction methods, analyze prediction score
  4. Optimize prediction by tuning parameters
  5. Compare prediction scores with differnet algorithms
  6. Tokenize text, remove stop words, create word and theme clouds
  7. Score phrases and sentences for sentiment
  8. Compare NLP scores across different contexts

Benefits

  • Use data to know more about data without the need for SQL queries
  • Apply mathematical principles on large data

‍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.
Honorary Guide
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