�ݺ�ߣshows by User: rfdanti

�ݺ�ߣshows by User: rfdanti / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: rfdanti / Sat, 22 Aug 2020 08:26:03 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: rfdanti Technology Product Management Project: Facial Verification Feature /slideshow/technology-product-management-project-facial-verification-feature/238140338 ieuk-ristantiramadanti-200822082604
Internship Experience UK: Technology Product Management Project. A project to develop a feature development plan of Facial Verification for a consumer banking app.]]>
Internship Experience UK: Technology Product Management Project. A project to develop a feature development plan of Facial Verification for a consumer banking app.]]> Sat, 22 Aug 2020 08:26:03 GMT /slideshow/technology-product-management-project-facial-verification-feature/238140338 rfdanti@slideshare.net(rfdanti) Technology Product Management Project: Facial Verification Feature rfdanti Internship Experience UK: Technology Product Management Project. A project to develop a feature development plan of Facial Verification for a consumer banking app. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ieuk-ristantiramadanti-200822082604-thumbnail.jpg?width=120&height=120&fit=bounds" /> Internship Experience UK: Technology Product Management Project. A project to develop a feature development plan of Facial Verification for a consumer banking app.

Technology Product Management Project: Facial Verification Feature from Ristanti Ramadanti

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0 Airbnb Knowledge Management & Digital Strategy /slideshow/airbnb-knowledge-management-digital-strategy/238140090 airbnbkmdigitalstrategy-200822082132
A case study on Airbnb Knowledge Management & Digital Strategy]]>
A case study on Airbnb Knowledge Management & Digital Strategy]]> Sat, 22 Aug 2020 08:21:32 GMT /slideshow/airbnb-knowledge-management-digital-strategy/238140090 rfdanti@slideshare.net(rfdanti) Airbnb Knowledge Management & Digital Strategy rfdanti A case study on Airbnb Knowledge Management & Digital Strategy <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/airbnbkmdigitalstrategy-200822082132-thumbnail.jpg?width=120&height=120&fit=bounds" /> A case study on Airbnb Knowledge Management & Digital Strategy

Airbnb Knowledge Management & Digital Strategy from Ristanti Ramadanti

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0 Retail sales forecasting - predictive data analytics /rfdanti/retail-sales-forecasting-predictive-data-analytics-235297799 retailsalespredictivedataanalytics-200610003130
Sales prediction using different predictive modelling algorithms including Multiple Linear and Polynomial Regression, Decision Trees, Random Forest, Gradient Boosting, Neural Network and Time-Series forecasting built with Python and SAS enterprise miner. Applied end-to-end data analytics process involving data sources integration, pre-processing (data cleaning, transformation, feature engineering), statistical analysis and model building and validation. Visualised data using Python and Tableau and delivered the result as a presentation deck and report. Python code: https://github.com/rframadanti/storechains-salesforecast Free presentation template from presentationgo]]>
Sales prediction using different predictive modelling algorithms including Multiple Linear and Polynomial Regression, Decision Trees, Random Forest, Gradient Boosting, Neural Network and Time-Series forecasting built with Python and SAS enterprise miner. Applied end-to-end data analytics process involving data sources integration, pre-processing (data cleaning, transformation, feature engineering), statistical analysis and model building and validation. Visualised data using Python and Tableau and delivered the result as a presentation deck and report. Python code: https://github.com/rframadanti/storechains-salesforecast Free presentation template from presentationgo]]> Wed, 10 Jun 2020 00:31:30 GMT /rfdanti/retail-sales-forecasting-predictive-data-analytics-235297799 rfdanti@slideshare.net(rfdanti) Retail sales forecasting - predictive data analytics rfdanti Sales prediction using different predictive modelling algorithms including Multiple Linear and Polynomial Regression, Decision Trees, Random Forest, Gradient Boosting, Neural Network and Time-Series forecasting built with Python and SAS enterprise miner. Applied end-to-end data analytics process involving data sources integration, pre-processing (data cleaning, transformation, feature engineering), statistical analysis and model building and validation. Visualised data using Python and Tableau and delivered the result as a presentation deck and report. Python code: https://github.com/rframadanti/storechains-salesforecast Free presentation template from presentationgo <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/retailsalespredictivedataanalytics-200610003130-thumbnail.jpg?width=120&height=120&fit=bounds" /> Sales prediction using different predictive modelling algorithms including Multiple Linear and Polynomial Regression, Decision Trees, Random Forest, Gradient Boosting, Neural Network and Time-Series forecasting built with Python and SAS enterprise miner. Applied end-to-end data analytics process involving data sources integration, pre-processing (data cleaning, transformation, feature engineering), statistical analysis and model building and validation. Visualised data using Python and Tableau and delivered the result as a presentation deck and report. Python code: https://github.com/rframadanti/storechains-salesforecast Free presentation template from presentationgo

Retail sales forecasting - predictive data analytics from Ristanti Ramadanti

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0 Project Allocation Linear Programming Optimisation /slideshow/project-allocation-linear-programming-optimisation/235294982 linearprogrammingoptimisation-200609230052
Applied Integer Linear Programming for project allocation optimisation problem using Excel Solver.]]>
Applied Integer Linear Programming for project allocation optimisation problem using Excel Solver.]]> Tue, 09 Jun 2020 23:00:52 GMT /slideshow/project-allocation-linear-programming-optimisation/235294982 rfdanti@slideshare.net(rfdanti) Project Allocation Linear Programming Optimisation rfdanti Applied Integer Linear Programming for project allocation optimisation problem using Excel Solver. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linearprogrammingoptimisation-200609230052-thumbnail.jpg?width=120&height=120&fit=bounds" /> Applied Integer Linear Programming for project allocation optimisation problem using Excel Solver.

Project Allocation Linear Programming Optimisation from Ristanti Ramadanti

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0 Multiple criteria decision analysis for competitor analysis /slideshow/multiple-criteria-decision-analysis-for-competitor-analysis/235294507 multiplecriteriadecisionanalysis-200609223816
MSc Business Analytics performance & competitor analysis using Multiple Criteria Decision Analysis (MCDA) model]]>
MSc Business Analytics performance & competitor analysis using Multiple Criteria Decision Analysis (MCDA) model]]> Tue, 09 Jun 2020 22:38:16 GMT /slideshow/multiple-criteria-decision-analysis-for-competitor-analysis/235294507 rfdanti@slideshare.net(rfdanti) Multiple criteria decision analysis for competitor analysis rfdanti MSc Business Analytics performance & competitor analysis using Multiple Criteria Decision Analysis (MCDA) model <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multiplecriteriadecisionanalysis-200609223816-thumbnail.jpg?width=120&height=120&fit=bounds" /> MSc Business Analytics performance & competitor analysis using Multiple Criteria Decision Analysis (MCDA) model

Multiple criteria decision analysis for competitor analysis from Ristanti Ramadanti

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0 Regression modelling for sales forecasting /slideshow/regression-modelling-for-sales-forecasting-234482208/234482208 regressionmodellingforsalesforecasting-200522203113
Data Analysis & Regression Modelling for Consumer Goods Sales Description: A manufacturer of a consumer goods brand wants to know how much additional sales they created that can be at least associated or explained by their marketing activities. Analysed associations and variations that drive sales, created Multivariable Regression model in R, applied K-Fold Cross Validation and evaluated robustness of model and regression assumptions. R code available at: https://github.com/rframadanti/tea-sales-regression]]>
Data Analysis & Regression Modelling for Consumer Goods Sales Description: A manufacturer of a consumer goods brand wants to know how much additional sales they created that can be at least associated or explained by their marketing activities. Analysed associations and variations that drive sales, created Multivariable Regression model in R, applied K-Fold Cross Validation and evaluated robustness of model and regression assumptions. R code available at: https://github.com/rframadanti/tea-sales-regression]]> Fri, 22 May 2020 20:31:13 GMT /slideshow/regression-modelling-for-sales-forecasting-234482208/234482208 rfdanti@slideshare.net(rfdanti) Regression modelling for sales forecasting rfdanti Data Analysis & Regression Modelling for Consumer Goods Sales Description: A manufacturer of a consumer goods brand wants to know how much additional sales they created that can be at least associated or explained by their marketing activities. Analysed associations and variations that drive sales, created Multivariable Regression model in R, applied K-Fold Cross Validation and evaluated robustness of model and regression assumptions. R code available at: https://github.com/rframadanti/tea-sales-regression <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/regressionmodellingforsalesforecasting-200522203113-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Analysis & Regression Modelling for Consumer Goods Sales Description: A manufacturer of a consumer goods brand wants to know how much additional sales they created that can be at least associated or explained by their marketing activities. Analysed associations and variations that drive sales, created Multivariable Regression model in R, applied K-Fold Cross Validation and evaluated robustness of model and regression assumptions. R code available at: https://github.com/rframadanti/tea-sales-regression

Regression modelling for sales forecasting from Ristanti Ramadanti

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0 https://cdn.slidesharecdn.com/profile-photo-rfdanti-48x48.jpg?cb=1598455758 Data Science & Analytics enthusiast. Currently pursuing MSc Business Analytics at the University of Manchester. Experienced in crunching data and delivering presentations for operations performance analysis with 4 years experience in telecommunication industry. A quick learner and team-player who is skilled in using Excel, Python, R, Tableau and more. github.com/rframadanti https://cdn.slidesharecdn.com/ss_thumbnails/ieuk-ristantiramadanti-200822082604-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/technology-product-management-project-facial-verification-feature/238140338 Technology Product Man... https://cdn.slidesharecdn.com/ss_thumbnails/airbnbkmdigitalstrategy-200822082132-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/airbnb-knowledge-management-digital-strategy/238140090 Airbnb Knowledge Manag... https://cdn.slidesharecdn.com/ss_thumbnails/retailsalespredictivedataanalytics-200610003130-thumbnail.jpg?width=320&height=320&fit=bounds rfdanti/retail-sales-forecasting-predictive-data-analytics-235297799 Retail sales forecasti...