Shibashis Ray, PhD

****-* ******** ***** (***) -216-7760 )

Morgantown, WV, 26505

ad31n5@r.postjobfree.com

QUALIFICATIONS---Educational.

Ph.D. in Engineering, West Virginia University

MS in Statistics, West Virginia University

MS in Mineral Engineering, University of Alaska-Fairbanks

B. tech in Engineering, I.I.T, Kharagpur, India

Pursued Minor in Industrial Engineering

OBJECTIVE

Technically challenging opportunity that will utilize my deep knowledge in Data Analytics, Statistical Analysis, Time series analysis and forecasting (both Univariate and Multivariate data), Time Series Modeling and State Space Modeling, Design of experiments, Statistical modeling and Computer programming, Database design and development, Machine learning, Sampling, Business Analytics, Operation Research and economic analysis etc.

SUMMARY

Extensive data analytics experience (for over 20 Years) using statistical analysis, inferential and predictive modeling, and time series analysis.

Experience in Sampling methods (Simple Random Sampling, Stratified Sampling, Systematic Sampling, Cluster Sampling etc. for test data for Machine Learning.

Excellent knowledge on Data Science with Python and R. Worked with many company’s database with Python to analyze descriptive, predictive and prescriptive analyses.

Excellent knowledge and practical experience with Machine Learning with SciKit-Learn (Preprocessing the data, properly replacing missing values, Exploratory data analysis, Data Manipulation, Creating new Variables, Dropping some columns, Label encoding, Train-Test Split, Model Building, Testing Model, Evaluation of the models Choosing the best Model).

Excellent knowledge in evaluation by metrics like Cross validation, accuracy, Recall, RMSE, MSE, Confusion Matrix, ROC/AUC curve, GINI Coefficient, F1 Score etc.

Profound Knowledge in Sampling from distributions (Inverse Transform Sampling, Rejection Sampling, Metropolis Sampling, Gibb’s Sampling, MCMC Sampling).

Experience in Machine Learning with Scikit-learn, Nltk, etc.

Many years of experience with engineering, financial, ecology, medical, and health care data (for about 20 Years).

Over 12 years of experience with Microsoft SQL and MIcrosof Access (POWER BI) for DOD (DLA DEgence Logistic Agency)

Excellent Knowledge in Microsoft Access and Oracle and Structured Query language, I have extensive knowledge in Business Analytics Tools such as Tableau, Power BI etc. I Also

Several years of knowlwdge in Time Series analysis, Predictive analysis with R for Capital ONE. I also have good knowledge I OPERATION RESEARCH IN Linear and integer Programming and Goal programming and CLexpress.

Proficiency (About 20 years’ experience) in SAS (Base, Stat), R, Python, Java, C++, SQL Server, Access, Visual Basic, Visual C++, Asp, Asp.net.

Inferential and Predictive modeling experience (Regression Analysis, Classification and Clustering) for univariate, multivariate and time series data.

Excellent knowledge in Cluster Analysis (Centered Clustering, Density Clustering, Distribution Clustering, Connectivity Clustering including Bayesian Clustering)

Used different methods for Clustering such as HAC, K-Means, SOM, Model based Clustering, GMM ( Gaussian Mixture Model) and CLARA for Gene Expression Oncology data and compared those methods by ARI (Adjusted Rand Index).

As a graduate Teaching Assistant and as a Professional taught Statistics and Computer Programming courses to Masters Students and US Defiance Personals.

Assisted many Masters and PhD students for the Statistical part of their thesis.

Profound Knowledge in Univariate and Multivariate Statistics both Inferential (such as t-test, ANOVA etc.,) and Predictive (Regression, Classification, Clustering etc.,), mathematics (Linear Algebra, Calculus etc.), computer programming (Basic, Fortran, C/C++, Visual Basic, Visual C++, Java), Statistical Programming (SAS, R. Python), Database design and development (Microsoft Access, SQL Server, Oracle), Web Programming (HTML, ASP, ASP.Net) optimization, time-Series forecasting (Univariate and Multivariate including Vector Autoregression (VAR), State-space analysis, Kalman filter – Used R-packages such as JOST, MARSS), and simulation, etc.

Demonstrated strong analytical skills and problem-solving skills with superior attention to detail.

Operation REseaech, Linear Programming, Intefer Programming, Goal Programming

Proven ability to manage multiple projects with excellent organization skills.

Ability to work independently and cross functions in a timely manner.

Effective communication, written and presentation skills.

High capability to quickly learn new technology and adapt to a new environment.

US permanent resident.

QUALIFICATIONS—Technical

Several years of experience in data analysis, statistical modeling, Time series Forecasting, computer programming and Machine Learning for engineering, financial, and health science sectors.

Profound knowledge in Univariate and Multivariate time series analyses and forecasting in R (Stationarity testing by Dicky-Fuller method, Vector Auto Regression, Hidden Markov Model, State space mode, Kalman Filter, forecasting with Neural Network etc.).

Web scraping and analyzing data with Python.

Expertise in Statistical techniques such as Discriminant Analysis, Decision trees, Random Forest, Support Vector Machine (SVM), Naïve Bayes Classifier, Bayesian Network, Discriminant Function Analysis, Principal Component Analysis, Cluster Analysis such as K-Mean and K-nearest neighborhood, Logistic Regression, Ordinal Logistic Regression, Longitudinal Data Analysis etc.

Several years of experience in Statistical Modeling with SAS and R.

Experience in Python with Pycharm and Jupyter Notebook.

Excellent knowledge in Tableau.

Excellent knowledge in machine learning with tool such as Scikit-learn, nltk etc. and deploying the models with FLASK.

Profound knowledge in Engineering Economic Analysis and Project Evaluation, Portfolio Management and Portfolio optimization.

Several years of knowledge in Programming Languages such as C/C++, Java(Eclipse’s Luna and Juno), Visual Basic, Visual C++ and Python.

Experienced in Database Design and Development in Microsoft’s ACCESS, SQL Server, Oracle and Others. Also experience in designing queries, Stored Procedures, Triggers.

Interactive Web Programming by ASP (Active Server Pages), ASP.NET and Others.

Extensive experience in Optimization techniques such as Linear Programming, Integer Programming and Goal Programming.

Experience in Knowledge Engineering and Expert System;

Experienced in Fuzzy Logic and Fuzzy Expert System;

Proficient knowledge in sampling techniques such as Inverse Sampling, Metropolis Sampling, MCMC(Markov Chain Monte Carlo).

Microarray Data analysis in Bioconductor for Bioinformatics(in R).

Sampling techniques such as Inverse sampling, Metropolis algorithm etc.

ACCOMPLISHMENTS

Analyzed and Forecasted various time series (Univariate and Multivariate) data using R’s different libraries (fpp2, ASTSA, ggplot2 etc.)

Web Scraped and analyzed data with Python.

Used R’s library quantmod and performanceAnalytics for portfolio management and optimization

Used Different Machine Learning techniques with Scikit-learn, PGMpy, Promegranate and also used nltk for sentiment analysis and to extract or data from different sources for medical research.

Developed software in Visual Basic for underground ventilation system.

Performed economic analyses and project evaluation by Goal programming for DOE project “Nuclear Waste Containment by Remote Mining”.

Designed and developed Fuzzy Logic Based Expert System for Fuzzy Logic Controller for ventilation in underground Coal Mining for NIOSH (National Institute of Safety and Health) project.

For various research projects, designed various experimental designs and analyzed the data in SAS and R.

Designed and developed numerous database and applications in Microsoft Access and SQL server for various suppliers to DLA (Defense Logistics Agency) and commercial sector such as AAA.

Developed Statistical Models such as Decision Trees, Linear Discriminant Analysis (LDA), Logistic Regression, Linear Regressions for Capital One.

Instructed courses in SCM (Supply Chain Management), Computer Programming, Interactive Web development with ASP (Active Server Pages) and ASP.NET, for US Defense personnel.

Advised several MS and PhD students for their research works in Statistical Modeling, Database development, Operational Research, and Computer Programming.

Designed the ventilation system for an underground safe house using FRP (Fiber Reinforced Plywood) for Department of Civil Engineering, West Virginia University.

EXPERIENCE

Education and Consulting LLC., Morgantown, WV

Sr. Data Scientist 2015 – Present

Having built statistical model for forecasting-- Techniques of Forecasting: • Simple Moving Average (SMA) • Exponential Smoothing (SES) • Autoregressive Integration Moving Average (ARIMA) • Neural Network (NN) using R for financial data.

Multivariate Time series analysis by VAR(Vector Auto Regression) using R for Engineering data.

Used Decision Tree (or CART) to predict late Acute Kidney Injury for burn patients using Scikit-Learn.

Used Multiple Regression technique to determine Parathyroid Hormone level to diagnose Hyperparathyroidism. Used Bayesian Network with PGMpy and Promegrante for prediction for the same project.

Used nltk to extract data or Text Mining from various sources.

Analyzed various data from Engineering, HealthCare, Economic etc. for Statistical inferences and predictions Using techniques such as t-test, ANONA (fixed, random and mixed) Regression Analysis etc.

Wrote Power Point presentation for the Statistical part of the book “Predictive Economic Analyses” intended for graduate students in economics.

Assisted researchers and faculties with statistical modeling, presentation building etc.

Taught students with programming in Python and Jupyter Notebook, Machine learning tools such as scikit-learn and nltk.

Hudson and Keyse, LLC., Cleveland, OH

Statistical Modeler and Data Analyst 2009 – 2015

Portfolio analysis and Portfolio optimization, dailyReturn, portFolioReturn, beta(CAPM), Alpha or Jensen’s Alpha, SHARPE Ratio using R’s quantmod and performanceAnalytics.

Led a team of technicians for a paradigm shift in current business approach by establishing new database, using different statistical models and developing new applications.

Performed statistical modeling techniques such as Decision Tree, Logistic Regression, Ordinal Logistic Regression, Linear Regression, goodness of the model fit, LDA (Linear Discriminant Analysis), and measure performances using ROC (Receiver Operating Characteristic Curve) and AUC (Area Under Curve) using R.

Developed front-end applications with Microsoft Access.

Statistical Modeling was performed using either SAS or R and used Visual Basic, Microsoft Access for developing data driven applications. Microsoft InterDev, ASP and ASP.net was used to develop interactive web applications.

Department of Engineering and Department of Statistics, WVU 2002 – 2008, Morgantown, WV

Research Assistant

Developed software for underground coal mining ventilation control, Fuzzy logic based expert system and modeling them in MATLAB’s Fuzzy Logic Toolbox.

Worked with FRP (Fiber Reinforced Plywood) to develop a safe house for use in underground Coal Mining in case of accident. Designed ventilation system for the safe house.

Worked with Bioinformatics’ Bioconductor package in R for Microarray Data Analysis. Analyses included Decision Tree, Random Forest, Support Vector Machine (SVM) etc.

Involved with various statistical methods such as ANOVA, Mixed model, Regression Analysis etc. for inferential or predictive analysis for various projects.

Concurrent Technologies Corporation (CTC), New Orleans 1999 – 2002

Database Engineer

Worked with Visual Basic, Microsoft’s Access, SQL server to develop application for internal use as well as developed web based application with Microsoft’s InterDev, ASP and ASP.net.

Assisted several DoD (Department of Defense) suppliers to develop their databases, Stored Procedures, Triggers, web applications and provided other technical help to facilitate their business with DoD.

Designed and delivered several courses relating to information technology to DoD Supplier base to educate them about the modern idea of paperless office.

Taught Defense personals inactive Web page development with HTTP, interactive web page development by connecting to database through ODBC (Open Database Connectivity) and SQL (Structured Query Language).

Also taught them Quality Control and Supply Chain Management.

Also, worked with Corporation of Engineer’s project involving Expert System.

Capital One, Richmond, VA 1997 – 1999

Statistical Analyst

Developed statistical modeling using Decision Tree, and Logistic Regression. Also performed Model testing and goodness of fit of the models.

Designed and developed several applications in Microsoft’s Access for internal use.

West Virginia University, Department of Mineral Engineering 1993 – 1997, Morgantown, WV

And Department of Statistics

Research Assistant

Member of a team of Research assistants and investigators for an interdisciplinary DoE(Department of Energy) project “Nuclear Waste containment by Remote Mining”. Designed Materials handling by conveyor belt system and performed cash flow analysis for different projects. Finally, selected the best option by Goal Programming Method.

Was involved with several projects from NIOSH (National Institute of Safety and Health) for safety and health in Mining industry by developing various statistical models(inferential and predictive both).

Taught Statistics courses to undergraduate students as a Teaching assistant and also performed various statistical analyses using methods such as Hypothesis testing, ANOVA, Regression Analysis, Categorical Data Analysis etc.

Determined transition points about change in number of fatal underground accidents due to change in technology by MCMC(Markov Chain Monte Carlo).

University of Alaska-Fairbanks, Department Of Mineral Engineering 1990 – 1992, Fairbanks, AK

Research Assistant

Designed and Developed underground Heal Leaching for year-long operation in cold climate and performed economic evaluation for the project.

Coal India Limited, India 1983 - 1990 Assistant Manager

Worked with an Indian Government Project in Collaboration with BMC (British Mining Corporation).

REFERENCES

Available upon Request.

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