About

Anand M is a seasoned professional with over 10 years of experience in Data Science and Analytics. He is currently working as a Lead Engineer at OLAM while pursuing his M.tech degree in Artificial Intelligence from SRM University. He has previously worked as a Data Scientist at Newt Global and as a Data Scientist (Cognizant Technology Solutions) at Chubb. Anand has extensive experience in developing and implementing models, monitoring and automating them. He is a self-motivated quick learner who is dedicated and committed to achieving results. He has worked on various statistical methods such as Hypothesis, Chi-Square, and Anova testing. Anand is proficient in various Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision tree, Random Forest, K-means clustering, Time series Analysis, K-Nearest neighbor, Naïve Bayes, PCA, and Supporting Vector Machine. He has also worked on Deep Learning Algorithms like Deep Neural Network, Convolutional Neural Networks, and Recurrent Neural Network using Tensor flow and Pytorch. Anand has developed regression regularization Ridge, LASSO, and Elastic net techniques. He has also worked on Text Mining NLP (Natural Language Processing). He has performed regression model accuracy Cross Validation and K Fold Cross Validation techniques. Anand has performed classification model accuracy Confusion Matrix, AUC (Area under Curve), and Gain Curve. Anand is proficient in R, Python (Pandas, Numpy, Scikit-Learn, NLTK, Tensor flow, Keras, and Pytorch). He has worked on several projects, including analyzing the behavior of various finance currency data against the dollar and predicting future trends and seasonality. He has also worked on finding crop diseases using Image analytics and generated farmer reports through Adobe analytics dashboard. Anand holds a Bachelor's degree in Electrical, Electronic and Communications Engineering Technology/Technician from Anna University. He has also completed a Deeplearning Neural Network Workshop in Data Science from the Indian Institute of Technology, Madras. Anand's TechStack includes Data Scientist, Research Scientist, Python, Neural Networks, Senior Software Engineer, NLP, Keras, Random Forest, Pytorch, Deep Learning, ML, Pandas, Scikit, RNN, CNN, Tensorflow, Microservices, Supervised Learning, Object detection, Seaborn, AI, Object Detection, MongoDB, Hadoop, Kafka, Spring Boot, Spring, Salesforce, Azure, and