|
Resume alert |
Resumes 11 - 20 of 500 |
San Mateo, CA
... • Developed, optimized, and evaluated multiple machine learning models, such as SVM, Random Forest, Naive Bayes, Linear Regression, and K-Nearest Neighbors for sentiment analysis using established metrics to select the most suitable model. Online ...
- Mar 07
San Jose, CA
... cash drops in the safe damage reports for clients cars and property foot patrol COVID-19 end of career Unemployment - Lake Forest, CA February 2020 to June 2021 This period illustrates the start of the COVID-19 scare could not work this, collected ...
- Feb 25
San Jose, CA
... Land Detection Using Object-Based Classification from Satellite Image Using ML • Detected and classified various land types such as forest, developed, plantation/cultivation, barren, and water bodies through satellite images taken from Landsat. ...
- Feb 24
Santa Clara, CA
... • ML/DL: Random forest, XGboost, Gradient descent, model ensemble, CNN, RNN, LSTM, LLaMA, Tensorflow, Pytorch. WORK EXPERIENCE Senior Machine Learning Engineer, CLOUDMEDX, Palo Alto Oct. 2019 - Current • Designed and implemented AI applications ...
- Feb 19
Santa Clara, CA
... Business Data Analyst (Intern) Pluto7 01/2023 - 06/2023 San Jose Implemented machine learning techniques like XG-Boost and Random Forest to develop accurate demand forecasting models for Iowa liquor dealer sales data, achieving an impressive R ...
- Feb 14
Fremont, CA
... and combining categories • Achieved 87% R2 by forecasting Boston housing sale price with Linear Regression, Random Forest, and Decision Trees YouTube Video Analytics on AWS (S3, QuickSight, Tableau, Glue, Lambda, Athena) • Orchestrated end-to ...
- Jan 23
San Jose, CA
... Forest Grove, OR 03/2017 to 10/2018 Validation engineer Worked in wafer PCB manufacturing company doing lamination of circuit boards for technology companies. Operated machines in cleanroom environment for wafers photolithography testing and ...
- Jan 11
Fremont, CA
... International Management, Lake Forest Graduate School of Mgmt. IL, 2007 ● M.S in Computer Information Technology, Florida Institute of Technology, FL, 2000 ● Certifications: Product Owner – Scrum, Dale Carnegie, and Six Sigma in Process development
- Jan 10
Santa Clara, CA
... Led a team of 4 to build predictive models using Logistics Regression, Random Forest, Gradient Boosting and XGBoost to assess the likelihood of employee attrition. Achieved a 71% TPR (recall). Credit Card Business Growth Nov 2022 - Dec 2022 Utilized ...
- Jan 09
San Jose, CA
... Recommender Systems, Time Series Analysis Machine Learning: Retrieval Augmented Generation (RAG), LLMOps, LLM Frameworks, Random Forest, SVM, Recommender Systems, Naïve Bayes, kNN, Gradient Boosting, Customer Segmentation With Clustering, Prompt ...
- Jan 09