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Piyush resume

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Piyush Chopra

Summary of profile and work Credentials. Data Analytics and Quantitative modeling Statistical Methods

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Piyush Chopra Raychand Chopra 716-431-9863 piychopra@gmail.com https://www.linkedin.com/in/piyush-chopra-b93aa1105 Education 20152016 Master of Science, Industrial Engineering (Operations Research),University at Bu鍖alo,SUNY, GPA 3.6/4. 20112015 Bachelor of Engineering, Anna University,Chennai,India. Mechanical Engineering, GPA 3.8/4. Course topics Stochastic Methods Regression Modelling Data Mining Facilities Design Supply Chain Engineering Programming for Analytics Time Series Analysis Statistical Computing Machine Learning Quality Assurance Linear Programming DOE Programming Skills SQL MS-O鍖ce R @Risk SAS C Python C++ Excel SAS Visual Analysis MINITAB TABLEAU Research Work Spring 2016 E鍖cient Computation of Social Media Metrics using Text Mining Approaches. Developed Extensive documentation and reports on Performing Sentiment analysis, Topic Modelling, Analysis of Live-Stream of data from Social Media websites and translated to a course on Social Media Analysis. Leveraged 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. Fall 2016 Probabilistic Modelling Belief propagation on Metabolic-Gene Networks of Alzheimers Disease. Undertook FBA (Linear Optimization) for gene-metabolic reconstruction networks and implementing Bayesian Statistics for Belief Propagation and testing for Statistical Signi鍖cance. Obtained large microarray datasets from Roswell Park Cancer Institute using data mining techniques to leverage descriptive analysis using R programming and SQL for creating simpli鍖ed clean datasets for further analysis. Project Work Fall 2016 Prediction of Bike-Sharing rentals at University at Bu鍖alo using Multi-Variable Linear Regression. Worked with the Student body at University at Bu鍖alo to predict the number of bike rentals on a daily basis. Performed data exploration, visualization and model building, applying machine learning techniques -R programming Applied Variable Selection (WOE and IV) and Feature engineering achieving 85 % model Prediction accuracy. Spring 2016 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 classi鍖cation accuracy of 89%. Extended the use of statistical results into a business model by formulating a Cost-Pro鍖t Matrix to compare the accuracies of Bayesian Model with Logistic regression and DA by giving higher penalty to False Positives. Spring 2016 Smart Bidding strategy for simulated auctions using Python. . Built a code in python to simulate auctions periodically. Initially, random bids are placed for available auctions and pro鍖ts are calculated. Devised an optimized strategy using available history of winning auctions and the model was successful in outshining other groups by winning high NPV bids, by a pro鍖t margin of 40k/1000and550/10000 auctions. Fall 2015 Analysis of Airline Tra鍖c Congestion using Time Series Analysis. . Extracted 20 years of Airline congestion data from Bureau of Transportation Statistics using SQL; data 鍖ltering, manipulation and analysis done using R software. Fitted ARIMA, SARIMA and HoltWinters models and tested the model accuracy (ADF- Test, Values of RMSE, MAPE and Sensitivity Analysis). Predicted the potential airlines which cause congestion at airports and estimation of their potential growth for next 2 years. Spring 2016 Modeling a Supply Chain Optimization Network for 3-echelon Supply Chains for Campus Dining.. Formulated Linear mathematical models to minimize overall Supply-Chain cost using Gurobi-Python optimization, Descriptive Analytics and Visualization using QGIS software on RAW Client data. Constrained 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. Fall 2015 Optimization of Foam Height from Root Beer using feature selection and classi鍖cation. . Worked with a local brewery to 鍖nd 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. Certi鍖cations/Trainings Certi鍖ed SAS BASE programmer Getting and cleaning Data-John Hopkins University Introduction to Data Analysis Using R- Big Data Univ Certi鍖ed Six Sigma Green Belt Regression Models John Hopkins University Probabilistic Graphical Modelling Stanford University
Professional Experience Aug16-Dec16 Administrative Student Assistant at University Libraries. Aug15-16 Student Assistant at Campus Dining and Services, University at Bu鍖alo. Nov14-Dec14 Administrative Intern at Khivraj Renault Chennai. Worked with the Administrative front desk and shop 鍖oor to bridge the connections and shortcomings by simpli鍖cation of intermediate processes. Interacted with customers, performing portfolio analysis, managing inventories and improving customer service. July14-Aug14 Process improvement intern at Faiveley Transport Rail Technologies - HOSUR PLANT. Undertook extensive case studies on Method-study and Time-study principles. Knowledge to the fundamentals of Process Planning, Quality Assurance and lean six sigma.

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Piyush resume

  • 1. Piyush Chopra Raychand Chopra 716-431-9863 piychopra@gmail.com https://www.linkedin.com/in/piyush-chopra-b93aa1105 Education 20152016 Master of Science, Industrial Engineering (Operations Research),University at Bu鍖alo,SUNY, GPA 3.6/4. 20112015 Bachelor of Engineering, Anna University,Chennai,India. Mechanical Engineering, GPA 3.8/4. Course topics Stochastic Methods Regression Modelling Data Mining Facilities Design Supply Chain Engineering Programming for Analytics Time Series Analysis Statistical Computing Machine Learning Quality Assurance Linear Programming DOE Programming Skills SQL MS-O鍖ce R @Risk SAS C Python C++ Excel SAS Visual Analysis MINITAB TABLEAU Research Work Spring 2016 E鍖cient Computation of Social Media Metrics using Text Mining Approaches. Developed Extensive documentation and reports on Performing Sentiment analysis, Topic Modelling, Analysis of Live-Stream of data from Social Media websites and translated to a course on Social Media Analysis. Leveraged 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. Fall 2016 Probabilistic Modelling Belief propagation on Metabolic-Gene Networks of Alzheimers Disease. Undertook FBA (Linear Optimization) for gene-metabolic reconstruction networks and implementing Bayesian Statistics for Belief Propagation and testing for Statistical Signi鍖cance. Obtained large microarray datasets from Roswell Park Cancer Institute using data mining techniques to leverage descriptive analysis using R programming and SQL for creating simpli鍖ed clean datasets for further analysis. Project Work Fall 2016 Prediction of Bike-Sharing rentals at University at Bu鍖alo using Multi-Variable Linear Regression. Worked with the Student body at University at Bu鍖alo to predict the number of bike rentals on a daily basis. Performed data exploration, visualization and model building, applying machine learning techniques -R programming Applied Variable Selection (WOE and IV) and Feature engineering achieving 85 % model Prediction accuracy. Spring 2016 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 classi鍖cation accuracy of 89%. Extended the use of statistical results into a business model by formulating a Cost-Pro鍖t Matrix to compare the accuracies of Bayesian Model with Logistic regression and DA by giving higher penalty to False Positives. Spring 2016 Smart Bidding strategy for simulated auctions using Python. . Built a code in python to simulate auctions periodically. Initially, random bids are placed for available auctions and pro鍖ts are calculated. Devised an optimized strategy using available history of winning auctions and the model was successful in outshining other groups by winning high NPV bids, by a pro鍖t margin of 40k/1000and550/10000 auctions. Fall 2015 Analysis of Airline Tra鍖c Congestion using Time Series Analysis. . Extracted 20 years of Airline congestion data from Bureau of Transportation Statistics using SQL; data 鍖ltering, manipulation and analysis done using R software. Fitted ARIMA, SARIMA and HoltWinters models and tested the model accuracy (ADF- Test, Values of RMSE, MAPE and Sensitivity Analysis). Predicted the potential airlines which cause congestion at airports and estimation of their potential growth for next 2 years. Spring 2016 Modeling a Supply Chain Optimization Network for 3-echelon Supply Chains for Campus Dining.. Formulated Linear mathematical models to minimize overall Supply-Chain cost using Gurobi-Python optimization, Descriptive Analytics and Visualization using QGIS software on RAW Client data. Constrained 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. Fall 2015 Optimization of Foam Height from Root Beer using feature selection and classi鍖cation. . Worked with a local brewery to 鍖nd 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. Certi鍖cations/Trainings Certi鍖ed SAS BASE programmer Getting and cleaning Data-John Hopkins University Introduction to Data Analysis Using R- Big Data Univ Certi鍖ed Six Sigma Green Belt Regression Models John Hopkins University Probabilistic Graphical Modelling Stanford University
  • 2. Professional Experience Aug16-Dec16 Administrative Student Assistant at University Libraries. Aug15-16 Student Assistant at Campus Dining and Services, University at Bu鍖alo. Nov14-Dec14 Administrative Intern at Khivraj Renault Chennai. Worked with the Administrative front desk and shop 鍖oor to bridge the connections and shortcomings by simpli鍖cation of intermediate processes. Interacted with customers, performing portfolio analysis, managing inventories and improving customer service. July14-Aug14 Process improvement intern at Faiveley Transport Rail Technologies - HOSUR PLANT. Undertook extensive case studies on Method-study and Time-study principles. Knowledge to the fundamentals of Process Planning, Quality Assurance and lean six sigma.