Operations Research and Data Analytics/Science Expert with many years of work experience across a variety of projects. Strong theoretical background in mathematical optimization (linear, nonlinear, mixed-integer, conic, robust, stochastic) modeling, statistical simulation, and business analytics (i.e., applications of machine learning & optimization algorithms). Proficiency in ILOG CPLEX with Concert technology / MS Visual Studio, Microsoft SQL Server & SSMS, Tableau, R studio, Python Pandas, Numpy, Matplotlib & Seaborn, Scikit-learn and Keras libraries. Published research papers in operations research/machine learning /business journals. Core strengths: • Strong technical background with desire/ability to learn new technical concepts & models. • Have a can-do attitude along with a passion, growth mindset and unfailing curiosity. • Strong work ethic, team player, adaptive and flexible. • Seeking for the challenges at the next level. • Working across organizational boundaries with the ability to manage related stakeholders. • Ability to work with C-level executives by presenting technical contents appropriately with managerial insights.