Shalahuddin Ahmad

Shalahuddin obtained Bachelor degree from Mathematics and Master degree from Industrial engineering from Bandung Institute of Technology, the best science and technical university in Indonesia. Shalahuddin also currently PhD candidate in economics in Indonesia International Islamic University (UIII), the only international university owned by government of Republic Indonesia. Shalahuddin spending the last 26 years in consulting services where 15 years in PriceWaterhouseCoopers and IBM Consulting Service which later become IBM Global Service. During the years Shalahuddin become consultant delivery project worldwide (Singapore, Thailand, United Kingdom, Ukraine, Malaysia, Indonesia) and in various kind of industries i.e. Automotive, pharmacy, plantation, oil and gas, defense, logistic and transportation, petrochemical, consumer goods, steel industries, chemical, finance/bank, etc. Based on the rich experiments and capabilities Shalahuddin become SME in Data Analysis using SAS, SPSS, Python, R and Excel. Shalahuddin is the only person in Indonesia that has applied all SAS modules i.e. Base, Stat, OR, IML, Graph, ETS. Shalahuddin has the wide area of business knowledge based on his own work experiences in Global Business Consulting Services and delivery project worldwide. Shalahuddin also has the skill to use analytic tools and software like SQL, SAS, Python, R, Excel/GSheet and has the deep knowledge based on formal education for statistics, econometrics and self learning in data science. Shalahuddin familiar with Python library for data manipulations and management (Pandas), Parallel computing (Dask), Large Data (Vaex), deep learning (Tensorflow-Google, Keras, Pytorch-Facebook), mathematical computation (Theano, Numpy, Scipy, Statsmodel), Neural Network (MXNet), machine learning (Scikit-learn), statistics (Seaborn, Statsmodel, Numpy), simulation modelling (Simply, Mesa, Pyro, Anylogic), Operation research, transportation and linear/integer programming (PulP, Pyomo, Scipy, CVXpy), Forecasting (Statsmodel, Prophet, Pycaret), econometric (Arcs, Linearmodels), Quantitative analysis (Quantlib), Qualitative analysis (NLTK, Spacy, Textblob, Gensim), Input-output analysis (pyIOAM), CGE Model (GAMS/AMPL), Dynamic System (PyDSTool, Dymola), Macroeconoics (PyFRED, DSGE (Julia library for DSGE)), Microeconomics Bayesian Analysis (PyMC3), Graphics (Matplotlib, Ploty, Seaborn, Bokeh, Altair, GGplot