Giridhar Rajan

Total 7 years of experience of which 4.5 extensive experience in Data science, Machine learning, NLP. Machine Learning Solutions Associate with extensive experience in driving growth, KPI and revenue using machine learning, actionable insights, predictive analytics, informed decision making, customer, product analytics, IoT, Text analytics, NLP, social media analytics.

Machine Learning, Natural Language Processing, Artificial Intelligence, spacy Machine learn, Learning Pattern, Learning Domain based rules, Machine to identify patterns.SVM. Role Description: Machine Learning, Natural Language Processing, Artificial Intelligence, Neural Networks, Machine learn, Learning Pattern, Learning Domain based rules, Project: Sentiment analysis of the agent. * Classification of comments based on business problems.

Objective: Pin codes having similar property are clubbed together into a cluster Approach: K-means algorithm (Distance measure-Euclidean distance) Summary Attributes for this exercise are collected from different sources across PAN America(over 1000 plus pin codes). Some of them are drive time, Traffic density, demographic variables, affluence level etc.. using k-means cluster all the pin co