| Resume alert | Resumes 101 - 110 of 500 |
Solution Delviery Manager
Fremont, CA
... Installation of Active Directory in forest level, additional dc, and child dc. Maintaining FSMO roles between DC’S Group policy implementation Implementing and Maintaining Exchange servers Exchange Server Migration 2003 to 2007 Physical Servers RAID ... - 2020 Nov 09
... Installation of Active Directory in forest level, additional dc, and child dc. Maintaining FSMO roles between DC’S Group policy implementation Implementing and Maintaining Exchange servers Exchange Server Migration 2003 to 2007 Physical Servers RAID ... - 2020 Nov 09
Social Media Engineer
Newark, CA
... techniques, improving predictions to determine authenticity of news stories and eliminate fake submissions.Tested on 6 classification algorithms, including Naive Bayes algorithm, Logistic Regression, SVM, Decision Tree, SGD, and Random Forest. ... - 2020 Nov 04
... techniques, improving predictions to determine authenticity of news stories and eliminate fake submissions.Tested on 6 classification algorithms, including Naive Bayes algorithm, Logistic Regression, SVM, Decision Tree, SGD, and Random Forest. ... - 2020 Nov 04
Python Engineering
Oakland, CA
... ACADEMIC PROJECTS Connecting World HealthCare Using BlockChain and ML Skills: React, Ethereum, Solidity, Mocha, Ganache May 2020 ● Decentralized private healthcare Application used to predict hyperglycemia using DNN and random forest model. ● ... - 2020 Nov 03
... ACADEMIC PROJECTS Connecting World HealthCare Using BlockChain and ML Skills: React, Ethereum, Solidity, Mocha, Ganache May 2020 ● Decentralized private healthcare Application used to predict hyperglycemia using DNN and random forest model. ● ... - 2020 Nov 03
Data Analyst Tableau
Palo Alto, CA
... Capstone Data Analyst, Principal Financial Group Iowa (Aug 2019 – Dec 2019) • Built machine learning models like LSTM, Random Forest, Logistic Regression using Python, R to gain insights on the ability of text features to predict market trends to ... - 2020 Oct 20
... Capstone Data Analyst, Principal Financial Group Iowa (Aug 2019 – Dec 2019) • Built machine learning models like LSTM, Random Forest, Logistic Regression using Python, R to gain insights on the ability of text features to predict market trends to ... - 2020 Oct 20
Data Analyst Customer
San Jose, CA
... using Random Forest Classifier, Logistic Regression predicting churn to improve customer retention Sentiment Analysis of Tweets March 2020 • Implemented the Navies Bayes classifier, SVM classifier and Logistic regression to analyze customer tweets. ... - 2020 Oct 15
... using Random Forest Classifier, Logistic Regression predicting churn to improve customer retention Sentiment Analysis of Tweets March 2020 • Implemented the Navies Bayes classifier, SVM classifier and Logistic regression to analyze customer tweets. ... - 2020 Oct 15
Data Analyst Assistant
Santa Clara, CA
... Skills Statistical / ML : Hypothesis Testing, A/B Testing, Predictive Modeling, Linear Regression, Logistic regression, Decision Tree, Random Forest, Clustering Tools / Libraries : SQL, Tableau, NumPy, Pandas, scikit-learn,seaborn, Python, R, SAS, ... - 2020 Oct 15
... Skills Statistical / ML : Hypothesis Testing, A/B Testing, Predictive Modeling, Linear Regression, Logistic regression, Decision Tree, Random Forest, Clustering Tools / Libraries : SQL, Tableau, NumPy, Pandas, scikit-learn,seaborn, Python, R, SAS, ... - 2020 Oct 15
Data Analyst Python
Sunnyvale, CA
... • Trained supervised machine learning models including Logistic Regression, Random Forest and K-Nearest Neighbors, and applied regularization with optimal parameters to avoid overfitting. • Evaluated model performance of classification (accuracy or ... - 2020 Oct 14
... • Trained supervised machine learning models including Logistic Regression, Random Forest and K-Nearest Neighbors, and applied regularization with optimal parameters to avoid overfitting. • Evaluated model performance of classification (accuracy or ... - 2020 Oct 14
Data Analyst Python
Santa Clara, CA
... conducted feature engineering, feature selection,and model evaluations (Random Forest, AdaBoost, KNeighborsClassifer, XGboost) to predict candidates tendencies. • Optimized company’s website strength on SEO based on AB Testing; added new features ... - 2020 Oct 14
... conducted feature engineering, feature selection,and model evaluations (Random Forest, AdaBoost, KNeighborsClassifer, XGboost) to predict candidates tendencies. • Optimized company’s website strength on SEO based on AB Testing; added new features ... - 2020 Oct 14
Business Analytics
Redwood City, CA
... Overflow 2018 Developer Survey – Job Satisfaction Analysis: Used machine learning method such as Naïve Bayes, Decision Tree, Logistic Regression, Random Forest and KNN to find out the important attributes which may influence the job satisfaction. ... - 2020 Oct 14
... Overflow 2018 Developer Survey – Job Satisfaction Analysis: Used machine learning method such as Naïve Bayes, Decision Tree, Logistic Regression, Random Forest and KNN to find out the important attributes which may influence the job satisfaction. ... - 2020 Oct 14
Social Media Marketing Manager
San Jose, CA
... most important predictors for cancellations and forecasting revenues using regression analysis • Trained decision tree, random forest and neural network models to gain maximum accuracy in predictions • Predicted cancellations with 93% accuracy and ... - 2020 Oct 05
... most important predictors for cancellations and forecasting revenues using regression analysis • Trained decision tree, random forest and neural network models to gain maximum accuracy in predictions • Predicted cancellations with 93% accuracy and ... - 2020 Oct 05