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Resumes 21 - 30 of 500 |
San Jose, CA
... Solid at applying Machine Learning, statistical models, such as Traditional Regression, Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting, Neural Networks, K Nearest Neighbors using PySpark ML, Python Sklearn. Expert at ...
- Jan 03
Hayward, CA
... • Conducted data analysis to generate residual graphs and prediction calculations, developing both a linear regression model and a Random Forest regression model to discern the factors contributing to price fluctuations in the region. Skills: Data ...
- Jan 02
Oakland, CA
... Safety Audits Indicators of qualify of life in mixed forest and pine. Assist in acquiring environmental permits. Monitor noise monitoring. Basic Botany Aug-2021 - Oct-2021 – Conagra Foods, https://www.conagrabrands.com/ Roles: Process Checker ...
- 2023 Dec 28
Pleasanton, CA
... Evaluated data mining and ML techniques,Association Rule Mining, K-means Clustering, SVM,Random Forest, to extract insights trends on user Browsing behavior. Stack Overflow Simulation Jan 2022 • Designed a 3-tiered distributed web app emulating ...
- 2023 Dec 27
Castro Valley, CA
Samantha O’Brien 510-***-**** haeobi Ea ation Enrolled at Castro Valley High School as Senior Completed six semesters of spanish (up to Spanish 8) Currently in AP Caleulus BC Enrolled in engineering pathway at CVHS Work Experience Forest Hill Swim ...
- 2023 Dec 16
Sunnyvale, CA
... ● Built Data-driven predictive models like Random Forest, Gradient Boosting, Logistic Regression, and Decision Trees, with an 89% accuracy rate, resulting in a 5% reduction in HR costs by optimizing employee retention efforts. ● Utilized Python for ...
- 2023 Nov 30
San Leandro, CA
... JavaScript:(8 years) JS programming, Prototype, JQuery Analytics, ML Scientific Service Oriented Architecture (SOA) Spark MLib Machine Learning algorithms, random forest, K-Means. Also worked on Spark/PySpark KPI study using Hive data where we ...
- 2023 Nov 30
San Jose, CA
... •Completed implement of Feature selection/reduction by sci-kit learn by Bi-Direction/Random Forest. •Completed PCA (Principal Component Analysis) for Model dimensionality reductions. •Utilized TensorFlow's data augmentation and transfer learning ...
- 2023 Nov 22
Palo Alto, CA
... EDUCATION Wake Forest University, School of Business, Winston-Salem, NC Master of Business Administration, Concentrations: Marketing, and Operations May 2016 ● Student Ambassador ● Operations Club President ● Merit Based Scholarship Southern ...
- 2023 Nov 14
Cupertino, CA
... in Python to improve manufacturing cycle time ■ Worked on feature-based models (including logistic regression, random forest, gradient boosting) for predicting daily number of products manufactured every quarter ■ Created an iterative XGBoost ...
- 2023 Nov 12