Ines Chen Email & Phone Number

I am passionate about how to code an algorithm to solve a problem.My past experiences include data analysis, machine learning, and deep learning.I am a person with an open mind and an eagle for learning.I was an AI engineer in the research and development center in ISCOM for 9 months. I worked on improving the performance of machine learning algorithms (Adaboost) for multi-classification task and building deep learning models (RNN, wide and deep model), and applying research results to the products.I also supported the development process of the product and constructed the APIs for users.In my Ph.D. period, I used Python for my research on analyzing astrophysics observation data.1. Data visualization for analysis results2. Use python to integrate different packages and build a pipeline for data reduction in observation data3. Applied statistic and regression analysis into observation data4. Deep learning (Pytorch) for building a 1 dimension Convolution Neural Network (CNN) to solve classification problems in astrophysics data5. Build a script for estimating error propagation of two Gaussian fitting===================I also had others experiences about Python in my past.1. Built a pipeline for data analysis2. statistical analysis for astrophysics observation data.I used the K-S test for estimating physics parameters of two distributions and explained the results to the physics model. I also applied the correlation coefficient to estimate the strength of the two physics parameters and explained the possible mechanism behind the physics model.Further, I have experience with Mathematica and FORTRAN in numerical analysis.My experience in program coding is problem-based.Therefore, my advantage is that I can study independently new topics and find a way to solve the problem.I also improved my basic coding ability by Hackerrank.