| Resume alert | Resumes 11 - 20 of 60 |
Data Analyst Manager
Buffalo, NY
... • Built Logistic regression, Gradient boosting and Random forest to predict customer churn. • Handled imbalanced data using SMOTE sampling technique and implemented PCA for dimensionality reduction. • Analyzed confusion matrix to compare performance ... - 2021 Feb 20
... • Built Logistic regression, Gradient boosting and Random forest to predict customer churn. • Handled imbalanced data using SMOTE sampling technique and implemented PCA for dimensionality reduction. • Analyzed confusion matrix to compare performance ... - 2021 Feb 20
Engineering Customer
Buffalo, NY
... Customer Behavior Analysis and Churn Prediction for Zipcar (Senior Design Project) Fall 2017 - Spring 2018 • Employed supervised statistical learning models such as logistic regression, random forest, boosting to predict churn probability. • ... - 2021 Jan 20
... Customer Behavior Analysis and Churn Prediction for Zipcar (Senior Design Project) Fall 2017 - Spring 2018 • Employed supervised statistical learning models such as logistic regression, random forest, boosting to predict churn probability. • ... - 2021 Jan 20
Student
Buffalo, NY
... TECHNICAL PROFICIENCY Predictive Modelling: Linear Regression, KNN, Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Random Forest, Bagging, Boosting, Neural Networks Tools: RStudio, MATLAB, Spyder, Jupyter ... - 2021 Jan 19
... TECHNICAL PROFICIENCY Predictive Modelling: Linear Regression, KNN, Logistic Regression, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Random Forest, Bagging, Boosting, Neural Networks Tools: RStudio, MATLAB, Spyder, Jupyter ... - 2021 Jan 19
Arbitration administrator
Buffalo, NY
... and email •Provide critical, time sensitive, high level support to sales teams through tech support, configuring, quoting, pricing, order entry, data management and margin analysis •Work closely with major shipping and logistic companies in the U.S. ... - 2020 Dec 25
... and email •Provide critical, time sensitive, high level support to sales teams through tech support, configuring, quoting, pricing, order entry, data management and margin analysis •Work closely with major shipping and logistic companies in the U.S. ... - 2020 Dec 25
Python Data
Buffalo, NY
... (Python, JavaScript, HTML, CSS) CLASSIFICATION OF VARIOUS DATASETS USING SUPERVISED AND UNSUPERVISED ML ALGORITHMS: Wisconsin Diagnostic Breast Cancer dataset, Fashion-MNIST clothing images dataset - Logistic Regression, Neural Networks, Multilayer ... - 2020 Dec 23
... (Python, JavaScript, HTML, CSS) CLASSIFICATION OF VARIOUS DATASETS USING SUPERVISED AND UNSUPERVISED ML ALGORITHMS: Wisconsin Diagnostic Breast Cancer dataset, Fashion-MNIST clothing images dataset - Logistic Regression, Neural Networks, Multilayer ... - 2020 Dec 23
Engineering Design
Buffalo, NY
... Big Data Analytics and Image Recognition Algorithms Python Implemented perceptron, SVM, K-NN, linear and logistic regression, K means algorithms from scratch on MNIST data set and also implemented basic Q learning, double Q learning and SARSA. Two ... - 2020 Dec 16
... Big Data Analytics and Image Recognition Algorithms Python Implemented perceptron, SVM, K-NN, linear and logistic regression, K means algorithms from scratch on MNIST data set and also implemented basic Q learning, double Q learning and SARSA. Two ... - 2020 Dec 16
Data Analyst Engineering
Buffalo, NY
... Testing, A/B testing, EDA, Tableau, Regression, Excel, MongoDB, Time series analysis, ARIMA, 2SLS Machine Learning: KNN, Logistic Regression, SVM, Decision Trees, Dimensionality Reduction, Neural Networks (CNN, LSTM, RNN), Unsupervised Learning, ... - 2020 Dec 06
... Testing, A/B testing, EDA, Tableau, Regression, Excel, MongoDB, Time series analysis, ARIMA, 2SLS Machine Learning: KNN, Logistic Regression, SVM, Decision Trees, Dimensionality Reduction, Neural Networks (CNN, LSTM, RNN), Unsupervised Learning, ... - 2020 Dec 06
Engineer
Buffalo, NY
... Models Implemented were Linear Regression, Logistic Regression, Ridge and Lasso, MARS, GAM, Regression Tree, Random forest, Bagging, and Boosting. Boosting model was the best working model with the least RMSE value of 9.31. - 2020 Nov 18
... Models Implemented were Linear Regression, Logistic Regression, Ridge and Lasso, MARS, GAM, Regression Tree, Random forest, Bagging, and Boosting. Boosting model was the best working model with the least RMSE value of 9.31. - 2020 Nov 18
Data Python
Buffalo, NY
... • Used Logistic regression, SVM, Random Forest Classifier, Naive Bayes algorithms, had to pickle these models to run the test data set, which fetched data from the AWS S3 implemented the best model on the go to give out the best results. Achieved an ... - 2020 Aug 01
... • Used Logistic regression, SVM, Random Forest Classifier, Naive Bayes algorithms, had to pickle these models to run the test data set, which fetched data from the AWS S3 implemented the best model on the go to give out the best results. Achieved an ... - 2020 Aug 01
Engineer Quality
Buffalo, NY
... of Accountancy (NASBA) – Credentials: #140940 Courses: Six sigma, Operations research, DOE, Data analysis and Predictive modelling, Production Planning & Control, Quality Assurance, Logistic management, Lean Enterprise, Human factors of safety. ... - 2020 Jul 25
... of Accountancy (NASBA) – Credentials: #140940 Courses: Six sigma, Operations research, DOE, Data analysis and Predictive modelling, Production Planning & Control, Quality Assurance, Logistic management, Lean Enterprise, Human factors of safety. ... - 2020 Jul 25