I’m a data scientist with 10 years of experience in research and in leading new software projects, data mining and machine learning. I design and build applications on real-time data mining, at the intersection of mathematics, data science, algorithms, and business.
I have two degrees in mathematics, one in Pure Mathematics and the other in Applied Mathematics. This degree gave me an solid mathematical preparation, skills and ingenuity in mathematical modeling techniques like machine learning, computer fluid dynamics, data mining, time series and regression that can suit a wide range of applications in various branches of economy and industry and facilitated the use of computational and numerical techniques applications.
I have extensive experience using applied statistics in machine learning with techniques such as deep learning, natural language processing, pattern recognition, artificial intelligence and neural networks (CNN/ ANN). My programming language competency includes, Python, R, Sql, Matlab and C/C++. My skillset also includes use of Qlik Sense, SSRS, Power BI, SSIS and Tableau.
Key Skills: Machine Learning Researcher, Quantitative Researcher, Finance, Neural Networks, Python, Gaussian Process, Bayesian Inference, Time-Series, Deep Learning, Reinforcement Learning, Probabilistic Models, Approximate Inference, Neural Networks, Natural Language Processing, Markov Models, Signal Processing, Computational Statistics, Econometrics, Mathematical Modelling.