About

Giridhar Rajan is a highly skilled Data Scientist with over 7 years of experience in the field. He has extensive knowledge 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, CRM, and cross channel customer interaction analytics. Giridhar prioritizes collaboration with other scientists to create information that is tested and accurate and also as useful and detail as possible. Giridhar has delivered projects based on NLP, Machine learning, and Qliksense Dashboard creation, deploying models on AWS and Google cloud, creating API’s for models. He has strong knowledge and experience in model development using machine learning algorithms such as Regression, Logistic Regression, Ensemble models (Random Forests etc), Decision Trees, Time-Series, collaborative filtering (recommendation engines), k-Means clustering, k-NN, SVM, NLP (Natural Language Processing) –Topic Modelling (LDA), Text Mining, Neural Networks, and A/B Testing etc. Giridhar has hands-on deep learning experience using different neural network architectures such as Feed Forward, RNN, LSTM, and CNN, Keras, pytorch, and Tableau. He has excellent business knowledge and has worked in diverse domains such as Customer Advanced Analytics, Customer Experience, Marketing & Sales (products & services), Healthcare, Telecom, Energy, Banking, Insurance. Currently working as a Senior Data Scientist at Chubb, Giridhar is responsible for insurance risk analysis, supply chain risk analysis, and environmental risk analysis. He has set up Mlops pipeline to automate the entire ML pipeline from training to deployment and has also worked on analyzing model drift. Giridhar has also set up MLFLOW pipelines for the ML lifecycle. Giridhar has previously worked at TCS and IBM as a Data Scientist. At TCS, he worked on projects such as sentiment analysis of the agent, customer segmentation method using K means, and recommendation engine for suggesting to identify relevant documents and news for risk analysis. At IBM, he worked on projects such as pin codes having similar property are clubbed together into a cluster, probability score of making an inactive customer active again, and Twitter Time Series Forecasting. Giridhar holds a post-graduate diploma in marketing from Annamalai University and a Bachelor of Engineering in Mechanical Engineering from Anna University. He has expertise in