Akshay Kher, Optimizing Baby Diaper Manufacturing Process, July 2019, (Mike Fry, Jean Seguro) Amoul Singhi, Identifying Factors that Distinguishes High Growth Customers, July 2018, (Dungang Liu, Lingchan Guo) The dataset provided by Walmart, involves the unit sales of various products sold organized in the form of grouped time series. The current APD- OSDS project I am working is on is directed towards building a new age system which is planned to replace the current legacy system which was based on IBM data integration tool. This study is aimed at analyzing the profile of online mobile visitors, and recommending divisions with high mobile traffic for future web enhancements. Xiaojing He, Carbo-loading Sales Analysis, August 2020, (Yichen Qin, David Curry). Junyi Li, Cintas Customer-Preference Analysis Using Data-Mining Methods, August 6, 2013 (David Rogers, Jeffrey Camm) Good Doctor Community (www.haod.com), which is the earliest and largest online healthcare consultation community in China, has been growing rapidly in the past 10 years. In this study, the credit model based on binned variables did not produce the best results, both generalized additive model and random forest performed superior. A real-data application demonstrates the success of the proposed approach. This categorization of trip types will help Walmart improve the customer’s experience by personalized targeting and can also help them identify business softness related to specific trip types. The score variables were originally aggregated in three different ways suggested by Great American. Naturally, the subsequent recommendation was to ensure greater adherence to the procedure followed. This project attempts to address this issue by employing Natural Language Processing tools like topic modeling and sentiment analysis. Natorp is a family owned business that has been around since 1916. Pruthvi Ranjan Reddy Pati, Time Series Forecasting of Sales with Multiple Seasonal Periods, July 2019, (Dungang Liu, Liwei Chen) Yelp is an online platform both website and app, where people write about their experiences about a place they visited. Employees were asked to take surveys which contained both type of questions: Likert’s and open-ended questions. Kobe played out his entire 20 year NBA career with the Los Angeles Lakers. Great American Insurance Group (GAIG) writes a significant portion of its business in workers compensation. I am addressing a real-world problem with real-world data. Affinity Promotion: Design the promotional events based on associated products to enhance the business. But in the background an immensely complex architecture of neurons carry on this task. Both required transition from Excel-based and often manual manipulation and entry of data. The data set used for the analysis has been obtained from UCI Machine Learning repository. Aditi Singh, Application of Convolution Neural Networks (CNN) in detecting Malaria, August 2020, (Peng Wang, Liwei Chen). Furthermore, Logistic Regression, Random Forest, and XGBoost are tried for prediction using these features. Surprisingly a large number of firms struggle to do so due to various factors such as lack of understanding of consumer buying needs and interests, lack of technical expertise to understand customer’s digital interaction, inexperience in correctly identifying the Key Performance Indicators etc. Nitish Deshpande, Forecasting based impact analysis for internal events at the Cincinnati Zoo, April, 2015 (Craig Froehle, Jay Shan) Both scenarios differ in the cost of misclassification of a bankrupt company as a non-bankrupt company, where chosen cost values are guided by relevant previous results. Even the clustering of giving alumni showed a small consistent group of givers and a second group of occasional donors. Tingyu Zhao, House Price Analysis: Ames Housing Data, July 2019, (Dungang Liu, Chuck Sox) With material costs forming about 70% of the finished-product sale price, unpredictable manufacturing lead times eat away what is left of the profit margin because there is no visibility into final costs incurred in manufacture at the time of providing a quote to the customer. The autocorrelation function/partial autocorrelation function plots were used to examine the adequacy of the model as well as Akaike Information Criterion (AIC). -- Statistical Power Analysis in Research by Helena Chmura Kraemer and Sue Thiemann. Many factors influence the final decision of the Operations Committee, the purpose of this analysis is to determine viability and, if found to be viable, an optimal solution for cases given the specialties of General Surgery and Gynecology. The algorithm used for training was the Microsoft Azure Machine Learning Studio implementation of a two-class decision jungle. Radostin Tanov, NFL Player Grading with Predictive Modeling, July, 2016, (Michael Magazine, Ed Winkofsky) Since our test dataset does not hold any value for sales therefore, the prediction error is tested by submission of the outputs on Kaggle. Through this project we designed an analytical framework which takes ratings/reviews datasets as input, performs modeling techniques like regression, decision trees, random forest and gradient boosting machines, identifies the best performing model and outputs features which are important in driving the ratings. Further, a bigger company can guarantee the loan requested by another company. After collecting 852 tweets that are related to this industry, a rule-based quality-control method is designed to decrease human error in Twitter sentiment ratings. Jasmine Sachdeva, Malware Analysis & Campaign Tracking, July 2017, (Michael J. Fry, Dungang Liu) In general, there are two stages in response modeling. Between 2012-2016 elections, model suggested that Education, Income and Race were significant to vote-change. To put simply, it’s a way to gain debt from the competition. Included in the dataset collected from January 1998 to November 2011 are 1.5+ million reviews, 30+ thousand users and 65+ thousand beer products. You can track what you win season by season and post screenshots, text or video updates so others can follow along. In terms of stability, CART outperforms CHAID due to the distribution of a key variable that the CHAID process used. Description about the LSTM model architecture and its connections to develop a neural network is also presented in this work. Joel C. Weaver, Enhancing Classroom Instruction by Finding Optimal Student Groups, March 3, 2014 (David Rogers, Jeffrey Camm) The sensor data was collected from 10 subjects of diverse profile while performing a predefined set of physical activities. To determine an efficiency rating, these defined inputs and outputs for each decision-making unit (DMU) are parameters in a linear optimization model, which can be solved with off-the-shelf optimization tools. Also, there exists a business-cycle fluctuation. This SVM model improved on the human performance by correctly identifying speech impairment in 8 of these 23. This study focuses on providing subscribers a more customized way to explore their music and easily create their own playlists through clustering preferentially on chosen audio features reflective of their mood. In Zoo business it is very important to know in advance about the arrival patterns of the customers across various months. America is home to some of the most obese people in the world. Oil Prices can depend on many factors leading to a volatile market. Specifically, the project will focus on incorporating cross-docking terminals in the solution in conjunction with fully stocked distribution centers. Model modifications allowed for analysis of sensitivity to bus schedules and delays, determination of peak-load handling capabilities, arrival-time-of-day impacts, and comparison of scheduled arrival to a smoothed, continuous arrival function. Aditya Kuckian, Loan Default Prediction, June 2017, (Dungang Liu, Liwei Chen) This data was analyzed to generate insights in the e-commerce product reviews and recommendations space. In-sample prediction measures of random forests show the ideal misclassification rate indicating over fitting to training data. Most of the movies these days fall under at least 2 genres. Chiao-Ying Chang, Cintas Website Visitors Profile Analysis, October 11, 2013 (David Rogers, Jeffrey Camm) The original group-project objective for the Case-Studies course was to see if there is a predictive model to determine whether a customer will renew his or her policy, and to see if there is a correlation between the predictor variables and the binary response variable. The focus of this project is application of sentiment analysis on the reviews data collected from amazon.com on fine foods. I was involved in building the Analytics capabilities in various divisions including supply chain, operations and products. He has recently seen some minutes for Hamburgs first team. Questions can take many forms - some have multi-sentence elaborations while others may be simple curiosity or a fully developed problem. The construction of the schedule contains many potential schedule-based factors (such as rest, travel, and home court) that can impact each game. The problem we are trying to address is to predict whether an attack will result in casualties given the nature and characteristics of the attack. There is a very high possibility of increasing mobile users in the future in these divisions. In this project, the exploratory data analysis includes feature selection based on distributions, correlation and data visualizations. The main objective of this report has been to develop and then propose data-mining techniques useful in diagnosing the presence of heart disease. This automatic classification eliminates the manual effort of examining each ticket and then routing it correctly, thus avoiding more than 75% conversions between ticket types as well as reducing the resolution time for each ticket. Chaojiang Wu, Partially Linear Modeling for Conditional Quantiles, May 23, 2011 (Yan Yu, Martin Levy) We seek to quantify the “cost,” in terms of player quality, that is incurred when a team chooses to wait until a later round to draft a player at a particular position. Key findings of the paper are that LOS has a positive relation with Average standard working hours of employees in the store and a negative relation with the number of full-time employees in the store. Further, I have explored different sampling techniques such as Over Sampling, Under Sampling, SMOTE, etc. The insights uncovered in this research will be used to inform [Client] line optimization and new product development for FY20 + beyond. Shengfang Sun, Human Activity Classification Using Machine Learning Techniques, August 2017, (Yichen Qin, Liwei Chen) This project describes application of different statistical models to a house-price data set and tests which model has the most predictive power. Anitha Vallikunnel, Product Reorder Predictions, July 2018, (Dungang Liu, Yichen Qin) This study will help such online retailers to understand the approach and different ways the data can be utilized to gain insights into its customer base. The use of these types of bike sharing systems are on the rise. Then, multiple predictive statistical models are built in order to predict the possibility of an employee leaving the firm and factors were studied by plotting variable importance. Market-mix modeling (MMM) and unsupervised learning are used to evaluate the different activities’ impact on sales performance, especially in 2Q 2020 due to challenges caused by the pandemic. Through this paper, I wish to provide researchers the ability to utilize machine learning with Python. In this paper, we will use text mining techniques to use the reviews written by customers to predict whether a customer will recommend a product or not. Vipul Mayank, Instacart Market Basket Analysis, August 2020, (Yan Yu, Liwei Chen). Additionally, a more accurate forecasting model was developed to further support our optimization model. While each method has its advantages and disadvantages, the models created using LASSO Regression to predict heating and cooling load, balance simplicity and accuracy relatively well. Findings also show that perceived risks involving financial, performance and social risks discourage use of internet banking due to the history of high crime rates and corruption that negatively affects how consumers perceive internet banking and its usefulness. Banks must deal with the risk to reward ratio for any kind of loan. The model gave several interesting results such as hosting an internal event has a positive impact of 59% on an average over the visitor count. The key results are summarized in the paper and detailed results are available upon request. ), the student grouping task can become exceptionally arduous. SAS IML programs are listed for each example. Second, on the same unit, repeated measures are performed over time or different spatial points on the same subject. This methodology was introduced when the company started acquiring more projects from a variety of clients. The models are implemented using various packages available in the open source software ‘R’. 10073 posts Has That Special Something. In this project, an attempt has been made to map employees (supporting Company A but who are employed by Sevan Multi Site Solutions) working at different levels in a single dashboard. Matthew Sonnycalb, Simulating Correlated Random Variates Using Reverse Principal Component Analysis, August 2, 2013 (David Kelton, David Rogers) Vijay Bharadwaj Chakilam, Bayesian Decisive Prediction Approach to Optimal Mailing Size Using BLINEX Loss, August 22, 2011 (Martin Levy, Jeffrey Camm) 2010b). Bundesliga since relegation from the Bundesliga in 2013. Specifically, this study is designed to answer the question "whether current personnel and emergency equipment resources assigned to fire stations is able to meet the increasing demand of fire and medical-emergency response service." Ethicon is a top medical device company that has recently purchased a forecasting tool in an effort to improve the accuracy of their account-level forecasting. The data set is explored using the open source statistical learning tool R. Market Basket Analysis is done using the Apriori algorithm for various support levels, confidence and lift to suggest combinations of products to be included in a basket to cross sell the products on the platform. The detected breaks positions were validated with the QLR test (Quandt Likelihood Ratio). Using several years of survey data provided by the Kenton County Alliance, the main factors which influenced the use of alcohol, cigarettes, marijuana, and inhalants were determined using several techniques – classification trees, chi-squared automatic interaction detection (CHAID), and logistic regression. Guansheng Liu, Development of Statistical Models for Pneumocystis Infection, July 2018, (Peng Wang, Liwei Chen) The naive Bayesian classifier (NBC) is based on Bayes' theorem and the attribute-conditional-independence assumption. Due to the unique characteristic of dynamic updating of information along with information accrued in the past, applied Bayesian methods provide greater accountability to the reliability of the forecasts obtained from the models than does the frequentist approach to forecasting. Bijo Thomas, Daily Customer Arrival Forecasting at Cincinnati Zoo Using ARIMA Errors from Historic Customer Arrival Regressed with Fourier Terms, Promotion and Extreme Weather, April 2015, (Craig Froehle, Yichen Qin) Aswinraj Govindaraj, Nurse Scheduling Using a Column-Generation Heuristic, August 10, 2011 (Jeffrey Camm, Michael Magazine) The regions have no significant effect on the claim filing propensity. This can be due to the actual environment that an analyst is trying to model or to increase the efficiency of simulating random variates from a model. This model is applied to 2014, 2013 and 2012 and is compared to the testing data for each of those years. During a substantial portion of the 4 hour public sale, the lines become very long and the non-profit group worries that some people will abandon their purchases and they will lose the commission from those sales. In this case, the same modeling results were obtained. What should the premium be of the products it wants to insure? This data is useful in evaluating not only the general market for different neighborhoods, but also, how much local property values were influenced by the recession. Shixie Li, Credit Card Fraud Detection Analysis: Over sampling and under sampling of imbalanced data, November 2017, (Yichen Qin, Dungang Liu) For this project, the team is tasked to identify manufacturers and items that yield most profits factoring in the Costs, Revenues, Bill Quantities and Number of Sales Orders for each Item Group. Two projects are introduced: the “CACM Score Model” project and the “Collection Center Operation System Simulation using Arena” project. Further, the reviews were used to develop a model which can predict whether the person will recommend the product or not. Junbo Liu, Predicting Movie Ratings with Collaborative Filtering, July 2017, (Peng Wang, Zhe Shan) Starting from classification tress and to more complex techniques like random forests. If the actual purchase does not happen because of any reason, seller has to be refunded the fee amount as a credit. This problem is a classification problem that aims at identifying whether or not a person is a predator, based on his chat logs. In this project, we focused on collaborative filtering where the behavior of a group of users is used to make recommendations to other users. Verizon would want to leverage data insights and analytics to address these issues. An Autoregressive method of Time Series Forecasting and generalized linear Regression models were used to predict future attendance of Zoo patrons based off of three different regression models. I also worked on testing the models that was built during the Graduate Case Study course, identification of challenges to implement the model and making the necessary changes in the model to suit the replenishment process at Milacron. SAS PROC SURVEYMEANS and SURVEYFREQ, and SPSS Complex Samples are used to estimate means, proportions, and totals, and to produce standard deviations and confidence intervals. A Retail Choice Loan Product (CLP) loss forecast model is currently being used by the company to forecast the amount of money the company will lose due to its Retail CLP customers charging off. While the selection process is not set-in-stone, at-large teams historically have high Ratings Percentage Index (RPI) rankings. One of the product features provides insights for churn propensity which will form the key focus of my paper. However, many of these predictors will contain little or no useful information, so the ability to exclude redundant variables from analysis is important. The advanced gene sequencing techniques normally produce large amount of genetic data which contain important information for the prognosis of GBM. This research seeks to understand the role of sugar ingredient and lower sugar propositions as well as other factors in the [food and beverage] consumer purchase decision, including: brand, variety, all natural claim, and added benefit. William Newton, Concrete Compressive Strength Analysis, July 2017, (Yan Yu, Edward Winkofsky) In this paper, we look at design of financial hardship offers for various consumer loan products. With the advancement in machine learning algorithms it has become possible to narrow down our search for fraud transactions to a very limited number of records which can be later manually verified. That eye-opening statistic helps explain why so many American households count on Axcess Financial to get financial solutions. They serve approximately 1,000,000 visitors every year and are looking forward to serving even more visitors in the future. The objective of the project is to apply statistical techniques such as clustering, association rules and collaborative filtering to come up with different business strategies that may lead to an increase in the sales of the products. To test our ability to generate this interval, we utilize Monte Carlo simulations for a variety of selection criteria and determine how close the proportion of true models captured by our interval is to 1 – α. Richard Tanner, Capital Bike-Share Rebalancing Optimization, April 2015, (Jeffrey Camm, David Rogers) The data set has information on the past loan performance and contains about 26,194 loans with 70 variables. Yucong Huang, An Analysis of the Twitter Sentiment System in the Financial-Services Industry, November 15, 2013 (Yan Yu, Yichen Qin) The attendance dataset provided by Cincinnati zoo contains daily attendance details from year 1996 till 2014. Since the past decade, many traditional machine learning models have been used for this purpose ranging from Logistic and Decision Trees to more advanced ensemble models like Boosting and Bagging. This summer I was part of an intern team that redesigned the Sr. Director’s Monthly Operating Report (MoR) with good data visualizations that could communicate the progress D&A has made month-over-month (MoM), while also reducing the amount of work the Sr. Director would need to do each month. Of those 68 tournament bids, 32 are reserved for conference tournament champions – leaving 36 at-large bids. We use the Kruskal-Wallis test, a non-parametric comparison of medians, to determine which draft rounds are likely to offer picks of equivalent quality, and which draft rounds are likely to offer picks of significantly better or worse quality. The Akaike information criterion (AIC), Bayesian information criterion (BIC), and area under the ROC curve (AUC) are criteria used to determine the best model. Human activity recognition (HAR) has become an active area of research since last decade but there are still key aspects such as development of new techniques to improve the accuracy under more realistic conditions that still need to be addressed. These records are to be linked and integrated so as to identify the same customer across banks and remove the duplication. Ishan Singh, Campaign Analytics for Customer Retention-Brillio, July 2016, (Kunal Agrawal, Michael Fry) Paul Pogba (Manchester United) Georginio Wijnaldum (Liverpool FC) Julian Draxler (Paris Saint … Sokratis's height is 186 cm cm and his weight is estimated at 84 kg kg according to our database. The AHT analysis has broken down the overall AHT improvement by each site and by each business area and thus identified the drivers of the AHT improvement at the different levels of the performance metrics. Also, sentiment analysis was performed and used to understand the association between review words and customer sentiments. The calculations are used to gain situational awareness. The aim of this process, when undertaken with well-defined principals, the lender is able to ensure good credit quality. The Master Tables for sample-size calculation is not provided in this Project because SAS programs can be easily used to calculate the sample size and power. Recommender systems are used widely, in order to help users accessing the Internet, by suggesting the products or services, they would be interested in based on their historical behavior, as well as the behavior of other users similar to them. The problem aggravates at the time of economic downturn. David A. Pasquel, Operational Cost-Curve Analysis for Supply-Chain Systems, November 2, 2011 (David Rogers, Amitabh Raturi) This report “Prediction of Adult Census Income Class” contains analysis of Census Income which contains attributes of various individuals to predict if an individual earns more than 50k dollars per year or not. Pravallika Mulukuri, Plant Pathology: Identification of category of foliar disease in Apple trees, August 2020 (Yan Yu, Peng Wang). Data Science and Analytics is widely used in the retail industry. We present the opening and closing case to examine capacity and delay at the Cincinnati airport, which may serve as a basis for advanced dynamic stochastic programming models for air traffic-flow management. A non-linear optimization model was then conducted based on the spline regression models with an objective of maximizing the total net sales of a store. Hence, there is a great business interest in, understanding the drivers of and, minimizing the employee attrition. Total Medicare payments provide the largest single source of a hospital's revenues. My work was primarily based on Excel and Tableau. This analysis aims at segmenting customers into income groups of above and below 50K. Knowing one’s income can also assist an individual in financial budgeting and tax return calculations. One way to explore trends in music is analyzing their lyrics. The simulation showed removal of the new/existing patient requirement from open appointments resulted in a simulated reduction in NP Lag of approximately 36 work-days, to a NP Lag of less than one work-day. This has been done by examining different datasets such as customers’ attributes and performance data, using different tools such as SAS and GIS and performing various analysis. Margaret Ledbetter, The Role of Sugar Propositions in Driving Share in the Food and Beverage Category, April 2019, (Yan Yu, Joelle Gwinner) By fitting home-equity-loan data, we demonstrate how to develop the NBC in SAS and propose ways that can improve its performance. Main challenge is collecting data and preparing it for use in Power BI. The cost of retaining a customer is much lower than acquiring a new customer, so that the company can focus on those potential defectors with their customer retention programs. All models are highly predictive based on the range of R2 from 0.823 to 0.885. This report includes methods of calculating sample sizes for different statistical tests. The first half of the project was done with the motive of visualizing the number of open critical, high priority production support tickets, mainly defects and enhancement type prior to the August 2019 release. Also we built a scoring model to score each assignee on a 100-point scale based on task completion times.
Schlagerburschi Warum Hast Du Nicht Nein Gesagt,
Bauer Ledig, Sucht Staffel 9 - Folge 5,
Bauer Sucht Frau Atv Staffel 1 2005,
Sc Freiburg Gegen Köln,
Verdammt Ich Lieb Dich Solo Tabs,
Google Homescreen Entfernen,
Fifa 21 Adeyemi Potential,
Dr Quinn Zeit Der Heilung,
Vera Am Mittag Alle Folgen,
Forest Green Rovers Rebuild,
Atv Programm Gestern,
Fc Everton Jobs,