Mohammad Jamsher A.

Fascinate with data, analytic, critical problem solving, independent to ensure success and achieve goals at work. Recognized for maximizing performance by implementing appropriate project management through analysis of details to ensure efficiency, legacy system transformation, and understanding of emerging knowledge. Expertise includes statistical modeling, analyzing, and visualizing of data using SAS, R, MS Excel, and Python; credit risk model validation, actuarial mathematics. Accomplishments: • Courses Multivariate Statistics, Statistical Learning, Mathematical Statistics I-III, Probability I-III, Corporate Finance and Investments, Computational Finance, Distributions in Financial Mathematics, Models of Financial Mathematics, Simulation Methods in Financial Mathematics, Non-Life Insurance Mathematics, Life Insurance Mathematics, Risk Theory, Stochastic Models, Martingales, Ruin Probability and Levy Processes, Survival Analysis, Special course in Machine learning. • Projects Successfully complete several projects of clinical data which includes preparing SDTM, ADAM, and TLF of raw data using SAS, Prepare reports and model credit data using SAS and MS Excel • Teaching Mathematical Statistics- I (lab instructor since 2018), Stochastic Models and Martingales (TA since 2018). Expertise Data Analysis, Credit Risk Model Validation, Actuarial Analyst, Time Series Analysis, Forecasting, Documentation, Presentation, SAS, R, Python.