| Resume alert | Resumes 111 - 120 of 502 |
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
Mechanical Engineer Engineering
San Jose, CA
... Organized a beach clean-up drive in association with Government of India & Forest Officials. Obtained sponsorships from marquee names like Intel, Mahindra & Mahindra, PepsiCo, Volkswagen, KLT Automotive, D-Link. - 2020 Sep 30
... Organized a beach clean-up drive in association with Government of India & Forest Officials. Obtained sponsorships from marquee names like Intel, Mahindra & Mahindra, PepsiCo, Volkswagen, KLT Automotive, D-Link. - 2020 Sep 30
Tech
Alameda, CA
... NBA salaries by testing and training machine learning models with Python libraries for data science ● Trained a random forest model to categorize the most undervalued and overvalued NBA players for each age Yelp Maps ● Constructed a Voronoi ... - 2020 Sep 19
... NBA salaries by testing and training machine learning models with Python libraries for data science ● Trained a random forest model to categorize the most undervalued and overvalued NBA players for each age Yelp Maps ● Constructed a Voronoi ... - 2020 Sep 19
Data Analyst Python
San Jose, CA
... Aug 2015 – Feb 2018 • Designed statistical models (Linear regression, Logistic regression, clustering, decision tree, Random Forest models) to understand the relationship strength of law firm and its attorneys with their clients. • Worked on Data ... - 2020 Sep 19
... Aug 2015 – Feb 2018 • Designed statistical models (Linear regression, Logistic regression, clustering, decision tree, Random Forest models) to understand the relationship strength of law firm and its attorneys with their clients. • Worked on Data ... - 2020 Sep 19
Property Manager Medical
Castro Valley, CA
... Random forest, xgboost, cox proportional hazards models. Client facing with national transplant policy makers. Results • Achieved accuracy of 82% with 86% ROC AUC. • Achieved concordance of 73% with survival models utilizing engineered features. • ... - 2020 Sep 17
... Random forest, xgboost, cox proportional hazards models. Client facing with national transplant policy makers. Results • Achieved accuracy of 82% with 86% ROC AUC. • Achieved concordance of 73% with survival models utilizing engineered features. • ... - 2020 Sep 17
Data Python
Milpitas, CA
... based on different internal vs external factors (such as COVID risk score, temperature, S&P) using multi-variate time Series modeling techniques like CAGR, Monte Carlo simulations, FbProphet, Arima, Regression, Random-Forest, XGBoost and Stacking. ... - 2020 Sep 10
... based on different internal vs external factors (such as COVID risk score, temperature, S&P) using multi-variate time Series modeling techniques like CAGR, Monte Carlo simulations, FbProphet, Arima, Regression, Random-Forest, XGBoost and Stacking. ... - 2020 Sep 10
Data Analyst
Santa Clara, CA
... R Sept 2018 - Nov 2018 • Interpreted paid search analytics, performed customer segmentation and behavior analysis to better understand purchase patterns • Used Random Forest, Linear Discriminant Analysis and Logistic Regression to find best model ... - 2020 Sep 09
... R Sept 2018 - Nov 2018 • Interpreted paid search analytics, performed customer segmentation and behavior analysis to better understand purchase patterns • Used Random Forest, Linear Discriminant Analysis and Logistic Regression to find best model ... - 2020 Sep 09
Sales Tableau
San Jose, CA
... Tools Tableau, Plotly, Matplotlib, Seaborn, ggplot2, Microsoft Excel/Google Sheets, PowerPoint ● Machine Learning Random Forest, Decision Tree, KNN, Logistic Regression, K-means, etc ● Programming Python(Pandas, Pyspark, NumPy, Scikit-learn), R, ... - 2020 Sep 08
... Tools Tableau, Plotly, Matplotlib, Seaborn, ggplot2, Microsoft Excel/Google Sheets, PowerPoint ● Machine Learning Random Forest, Decision Tree, KNN, Logistic Regression, K-means, etc ● Programming Python(Pandas, Pyspark, NumPy, Scikit-learn), R, ... - 2020 Sep 08
Data Analyst Civil Engineering
San Jose, CA
... & Machine Learning: A/B test, Linear Regression,Time Series, Logistic Regression, PCA, SVM, Decision Tree, Random Forest, XGBoost, K-NN, K Means Clustering, CNN, RNN, DNN, NLP Cloud: AWS (EC2, S3, EBS, RDS, EMR, IAM, etc.), GCP (kubernetes), ... - 2020 Sep 08
... & Machine Learning: A/B test, Linear Regression,Time Series, Logistic Regression, PCA, SVM, Decision Tree, Random Forest, XGBoost, K-NN, K Means Clustering, CNN, RNN, DNN, NLP Cloud: AWS (EC2, S3, EBS, RDS, EMR, IAM, etc.), GCP (kubernetes), ... - 2020 Sep 08