Ketan Mehta

Background

About Ketan Mehta

I am currently working at Citi bank, Mumbai to mitigate Credit risk/Fraud of branded and co-branded cards of North America. I am building merchant risk model using ML algorithms and big data technology. I have pursued Masters in Electrical Engineering from Columbia University, New York. I am interested in Machine learning, Deep learning and Data science. Machine learning related work/skills: Experienced in applied Machine Learning process of Problem Definition, Analyzing Data, Preparing Data, Evaluating Algorithms, Improving Results and Presenting Results. Statistics and Machine Learning Techniques Supervised / Unsupervised Learning : Naive Bayes, Logistic Regression, Linear Regression, Support Vector Machine, Ensembles ( Bagging, Boosting - Gradient Boost & Adaboost ), Decision Tree, k-means Clustering, Random Forest. kNN (k-Nearest Neighbours) DSP related work/skills: Experienced in optimization of DSP kernels on Tensilica IP DSP cores supporting SIMD, VLIW, FLIX and software pipelining and also suggested some ISA changes to optimize performance based on analysis Programming Python ( Tensorflow, Numpy, Pandas, Matplotlib, Scikit-learn, Keras, Seaborn, Plotly), MapReduce, R, Matlab, C, Assembly language Tools Excel, Microsoft Office, Spyder, Jupyter, Hadoop, Spark, Matlab, RStudio, Bash, Linux, Simulink, Xilinx, Cadence- Virtuoso & Encounter