Florent Rudel Ndeffo's Linkedin Analytics

Interpolation Finance Project: Interpolated Daily treasury Par Yield Curves Rates. Decomposition of Intraday Volatility. Recurrent Neural Network. Cosine similarity data mining. Data Analytics. Mathematical Modeling. Optimization. Kaggle. JavaScript, Node.Js, Botstrap. OpenCV. Object Detection. Training a model using Convolutional Neural Network to detect the Pulmonary Embolism. Working with X-ray images, taking one image of the healthy lung as referential. Map : {'Healthy' : 0 , 'Embolism' : 1 }. Solving the issue of images coming from various subjects by using a technique called Spatial Invariance. Adjusting Pooled Features. CNN. Entropy. Dummy variable trap in regression models. Convolution function. Kernel. Feature detector. Uncertainty reduction theorem. Hinge loss. Mean Square Error. Information theory. Shannon’s theory. Cross-entropy loss. Cross-validation. Max Pooling. Data scientist. Trained a predictive model using ANN to figure out which customers are likely to stay with the company and which ones are likely to leave the company. Geo demographic segmentation. Stochastic gradient descent. Cost function. Sklearn Python library. Activation Function. Familiar with AWS embedded websites. Perceptron. Back propagation. Curse of dimensionality. Bias-Variance Tradeoff. AWS Database testing. Appium, Applications Testing. SDK. Developing robots that mimic human users’ behavior. Testing how various websites would behave if they received a higher number of requests from human users. Selenium Webdriver. CSS. Xpath. Automation is the key to replace potential workers and to turn social media accounts into a major asset. Monitoring websites’ performance while they are overwhelmed by a high amount of users’ requests.