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Resumes 71 - 80 of 411 |
San Jose, CA
... 2017 – Nov.2017 ● Applied models such as Logistic Regression, KNN, SVM, and Decision Tree to forecast a driver’s likelihood to cause an accident. Created a suite of predictive analytics that was integrated with SambaSafety’s current Risk Management ...
- 2021 Jun 01
Milpitas, CA, 95035
... 2020, Fremont Maintained a general office support Reconciled bank, tax, and logistic documents with accounting records. Provided a professional translation between Mandarin and English daily. Established the first complete AR process for the U.S. ...
- 2021 Apr 20
Fremont, CA
... desired campaigns targeting essential customers only reducing their costs by 2-3% Created anomaly detecting model in R using logistic regression to check data traffic wherein observed anomalies increase by 80% in weekends and festive seasons by ...
- 2021 Apr 02
Fremont, CA
... and implement economic data solution for Chinese real estate industry ● Use data analyst tools (e.g.: linear regression, logistic regression, CUSUM, etc) to predict economic trend and study regional market correlation ● Perform customer demos and ...
- 2021 Mar 25
San Jose, CA
... data including removing outliers and resampling the dataset using Sklearn • Trained and compared different supervised learning classifiers such as SVM, Naive Bayes, KNN, and Logistic Regression and tuned proper hyper-parameter by cross-validation.
- 2021 Mar 01
Sunnyvale, CA
... EMC VPLEX, EMC Recover Point Storage Emulation tools: SanBlaze, Dummynet Machine Learning: Classification, Regression, K-Nearest Neighbor, Logistic Regression, Regression Trees, Cluster Analysis, Neural Networks & Principal Component Analysis, etc. ...
- 2021 Feb 28
Sunnyvale, CA
... A/B Test on New Page Design • Ran a hypothesis test and built a logistic regression model using Python statistics packages to explore number of people converted from the old page to the new page. • Generated a p-value of 0.190, which concluded the ...
- 2021 Feb 28
San Jose, CA, 95132
... Techniques included: clustering, hierarchical linear and logistic regression models ● Implemented NLP models (LDA, K-means, NMF) utilizing unused consumer tasting data that led to tracking changes in consumer perception over 4 years of product ...
- 2021 Feb 22
San Jose, CA
... Several classification models like Decision Tree, Logistic Regression, Random Forest were implemented but Support Vector Machine gave a better accuracy and F1 score compared to other models. Insincere question classification on Quora Aug 2020-Dec ...
- 2021 Feb 21
San Jose, CA
... Models Evaluated: Logistic Regression, Naïve Bayes, Random Forest Lending Club Loan Data Analysis (Technologies: Airflow, Python, Scikit-Learn) Jan 2019 - Feb 2019 Automated data collection, cleaning, and feature engineering by creating a pipeline, ...
- 2021 Feb 20