PIYUSH CHOPRA RAYCHAND CHOPRA

** ****** **, *******, *** York-14214

Cell: 716-***-**** • acxpwn@r.postjobfree.com

Applied Science Masters Graduate Student

Department of Industrial and Systems Engineering – Operations Research. OBJECTIVE

Seeking career opportunities in Quantitative Data Analytics, Risk management and Data driven decision making. SUMMARY

Dedicated professional with core interests in Quantitative Analysis, leveraging the use of data in solving Business problems using Statistical models, Market Basket Analysis, Consumer behavior modeling, Predictive Analysis using Machine Learning Tools, Agile Data Analysis, Decision Supply Chain Modelling and Optimizations. EDUCATION

Masters in Industrial Engineering GPA: 3.7

University at Buffalo Dec’2016

Course Topics

Stochastic Methods Supply Chain Engineering Machine Learning

Regression Modelling Programming for Analytics Quality Assurance

Data Mining Time Series Analysis Lean Enterprise

Facilities Design Statistical Computing DOE

Bachelors in Mechanical Engineering GPA: 8.00/10.00 Anna University May’2015

RESEARCH WORK

Efficient Computation of Social Media Metrics using Text Mining Approaches Under Dr. Alexander Nikolaev

Extensive documentation and report generation on Performing Sentiment analysis, Topic Modelling, Analysis of Live-Stream of data from Social Media websites and translating to a course on Social Media Analysis.

Leveraging the use of R programming, SQL and Python to Scrape data from online platforms, Data Cleaning, Data Mining and Visualization and applying machine learning methods – LDA, Logistic Regression. Probabilistic Modelling Belief propagation on Metabolic-Gene Networks and Under Dr. Rachael Hageman Blair

Undertook Flux Balance Analysis (Linear Optimization) for gene-metabolic reconstruction networks and implementing Bayesian Statistics for Belief Propagation and testing for Statistical Significance.

Research based on obtaining large microarray datasets from Roswell Park Cancer Institute using data mining techniques to leverage descriptive analysis using R programming and SQL for creating simplified clean datasets for further analysis

PROJECT WORK

Prediction of Bike-Sharing rentals at University at Buffalo using Multi-Variable Linear Regression.

Worked with the Student body at University at Buffalo to predict the number of bike rentals on a daily basis.

Tasks included data exploration, visualization and model building, applying machine learning techniques.

Variable Selection (WOE and IV) and Feature engineering achieving 85% model Prediction accuracy. Financial Credit Risk Modelling and determining Consumer behavior using Bayesian Network models.

Devised a model leveraging the use of Bayesian Network Analysis and Greedy algorithms to classify the Credit Worthiness of the customers and achieving a classification accuracy of 89%.

Extending the use of statistical results into a business model by formulating a Cost-Profit Matrix to compare the accuracies of Bayesian Model with Logistic regression and DA by giving higher penalty to False Positives. Analysis of Airline Traffic Congestion caused by US airlines at airports using Time Series Analysis.

Undertook a Time series SARIMA analysis on 20 years of Airline congestion data from the web using R .

Prediction of potential airlines which cause congestion at airports and estimation of their potential growth for next 2 years by model selection and testing methods (ADF- Test, Values of RMSE, MAPE and Sensitivity Analysis).

Modeling a Supply Chain Optimization Network for 3-echelon Supply Chains for University Dining Services.

Formulation of Linear mathematical models with an objective to minimize overall Supply-Chain cost using Gurobi-Python interface, Descriptive Analytics and Visualization using QGIS software on RAW Client data.

Constrain Models to Selection of multiple warehouses, Aggregated Demands, Maximizing service levels, Transportation costs, Multisite Sourcing and documenting the results for Port-Folio presentation and business decisions.

Optimization of Foam Height from Root Beer using feature selection and classification.

Worked with a local brewery to find the optimal factor setting for the root beer dispenser.

Regression and ANOVA to arrive at the optimal dispensing rate and performing feature selection. Developed process control and capability charts to help in analysis. CERTIFICATIONS/TRAININGS

SAS base certification.

Six Sigma Green Belt.

Getting and cleaning Data-John Hopkins University

Introduction to Data Analysis Using R- Big Data University

Regression Models – John Hopkins University

Probabilistic Graphical Modelling – Stanford University PROFESSIONAL EXPERIENCE

Administrative Intern at Khivraj Renault – Chennai (November–December, 2014).

Worked with the Administrative front desk and shop floor to bridge the connections and shortcomings by simplification of intermediate processes.

Interacted with customers, performing portfolio analysis, managing inventories and improving customer service. Process improvement intern at Faiveley Transport Rail Technologies - HOSUR PLANT (July–August, 2014).

Undertook extensive case studies on Method-study and Time-study principles.

Knowledge to the fundamentals of Process Planning, Quality Assurance and lean six sigma PROGRAMMING SKILLS

• SQL • R • SAS • PYTHON • EXCEL • MINITAB • TABLEAU CONTACT: Cell: 716-***-**** • acxpwn@r.postjobfree.com

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