| Resume alert | Resumes 101 - 110 of 273 |
Data Science/Machine Learning Engineer/Data Analyst
Bedford, MA
... • Built three models (logistic regression, multilayer perceptron, and random forest) with well-tuned hyper-parameters to do sentiment classification and analyzed the results. Exploring Different Action-value Methods’ Performance for Non-stationary ... - 2021 Feb 22
... • Built three models (logistic regression, multilayer perceptron, and random forest) with well-tuned hyper-parameters to do sentiment classification and analyzed the results. Exploring Different Action-value Methods’ Performance for Non-stationary ... - 2021 Feb 22
Manager Data
Boston, MA
... patterns via Tableau Data Mining Projects 03/2020 - 05/2020 ●Used predictive analytics to profile Covid-19 Patients using Logistic Regression & Random Forest as main models ●Analyzed the performance of various healthcare providers by using the 2016 ... - 2021 Feb 01
... patterns via Tableau Data Mining Projects 03/2020 - 05/2020 ●Used predictive analytics to profile Covid-19 Patients using Logistic Regression & Random Forest as main models ●Analyzed the performance of various healthcare providers by using the 2016 ... - 2021 Feb 01
Machine Learning, Python, Deep Learning
Boston, MA
... (code 1, 2, paper 1, 2) 2019 • Employed ML to predict binding sites in a protein sequence to aid drug discovery • Applied feature extraction, feature reduction (PCA, RFE etc.) and classification algorithms such as SVM, Logistic Regression, MLP etc. ... - 2021 Jan 26
... (code 1, 2, paper 1, 2) 2019 • Employed ML to predict binding sites in a protein sequence to aid drug discovery • Applied feature extraction, feature reduction (PCA, RFE etc.) and classification algorithms such as SVM, Logistic Regression, MLP etc. ... - 2021 Jan 26
Pharmacy Technician Data
Malden, MA
... o Calculated Logistic functions by using R applications to prove the various arguments. • Application of Machine Learning Models: 09/2019 to 12/2019 o Created data integration equation model to plot the multiple graphs in real time generation on ... - 2021 Jan 25
... o Calculated Logistic functions by using R applications to prove the various arguments. • Application of Machine Learning Models: 09/2019 to 12/2019 o Created data integration equation model to plot the multiple graphs in real time generation on ... - 2021 Jan 25
Data Scientist
Woburn, MA
... drug ratings based on patient reviews, compared the performance of various supervised machine learning techniques (Logistic Regression, Support Vector Machines, Recurrent Neural Networks, K Nearest Neighbors) and obtained an accuracy of 92% ... - 2021 Jan 08
... drug ratings based on patient reviews, compared the performance of various supervised machine learning techniques (Logistic Regression, Support Vector Machines, Recurrent Neural Networks, K Nearest Neighbors) and obtained an accuracy of 92% ... - 2021 Jan 08
Data Analyst
Boston, MA
... • Test machine learning algorithms(logistic regression, random forests, etc.) to identify high stroke risk patients. • Develop Natural Language Processing workflows to parse unstructured patient data. • Create data automation processes for large ... - 2021 Jan 05
... • Test machine learning algorithms(logistic regression, random forests, etc.) to identify high stroke risk patients. • Develop Natural Language Processing workflows to parse unstructured patient data. • Create data automation processes for large ... - 2021 Jan 05
Data Tableau
Dorchester, MA
... Investigated correlation patterns between multiple features and analyzed stroke is highly correlated with Hypertension • Applied Logistic Regression with an accuracy of 76.34%, formulated Random Forest accuracy restructured up to 98% Boston Property ... - 2020 Dec 30
... Investigated correlation patterns between multiple features and analyzed stroke is highly correlated with Hypertension • Applied Logistic Regression with an accuracy of 76.34%, formulated Random Forest accuracy restructured up to 98% Boston Property ... - 2020 Dec 30
Supply chain Analyst
Boston, MA
... • Implemented Logistic regression to classify if the product will be reordered or not with 77% accuracy. • Enhanced the recommendation system by using association rule (apriori algorithm) mining resulting in a set of 40 rules. CERTIFICATION • ... - 2020 Dec 22
... • Implemented Logistic regression to classify if the product will be reordered or not with 77% accuracy. • Enhanced the recommendation system by using association rule (apriori algorithm) mining resulting in a set of 40 rules. CERTIFICATION • ... - 2020 Dec 22
Data Scientist
Boston, MA
... Diabetes Prediction Mar 2020 – Apr 2020 • Trained SVM, XGBoost, Random Forest and Logistic Regression models to identify whether a person has diabetes. • Dealt with highly unbalanced dataset by deploying under-sampling techniques provided by ROSE ... - 2020 Dec 21
... Diabetes Prediction Mar 2020 – Apr 2020 • Trained SVM, XGBoost, Random Forest and Logistic Regression models to identify whether a person has diabetes. • Dealt with highly unbalanced dataset by deploying under-sampling techniques provided by ROSE ... - 2020 Dec 21
Data Analyst
Brighton, MA
... Built machine learning models for gearbox bearing failure prognosis using Logistic Regression, Random Forest, XGBoost, 1D CNN, and LSTM. Implemented robust anomaly detection systems using regression model residuals, eigenvalues, and Autoencoders. ... - 2020 Dec 17
... Built machine learning models for gearbox bearing failure prognosis using Logistic Regression, Random Forest, XGBoost, 1D CNN, and LSTM. Implemented robust anomaly detection systems using regression model residuals, eigenvalues, and Autoencoders. ... - 2020 Dec 17