武利鑫 LiXin WU
About Me
I am a young data scientist, I have experience building predictive probabilistic models in R and predictive maintenance models in IBM Cloud. I am interested in solving a variety of problems with data, particularly those involving new modelling techniques and algorithms. I am currently working with neuroimaging data and neural networks, expanding my skill set toward machine learning algorithms.
IT Skills
Highly skilled data scientist and goal-oriented partner with the ability to produce cutting-edge machine learning solutions across product organizations on small and large-scale big data projects. Excellent R and Python Programmer, Creator, Inquisitive Problem solving using Data Mining and Advanced analytics. Deep expertise with mathematical and statistical data mining using R, proficient in Python as well. Good at quantitative analysis & execution and Internal Consulting. customer management,credict models ,anti-fruad and target marketing for key advanced analytics solutions. Pattern classification techniques: Bayesian Classifiers, Nearest Neighbor classification, Decision trees, Rule based systems, Artificial Neural Networks, Support Vector Machines, Ensemble methods - Random Forests, Bagging, Boosting. Deep Learning, Convolutional Neural Nets, LSTMs, RNNs, Auto Encoders, Recommendation Systems, Keras, Scikit Learn, Pandas,caffe, Pytorch.
