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Chandler, AZ
... Process including EDA, data cleaning and data preprocessing •Created complex machine learning models and applied supervised learning algorithms, including logistic regression, decision tree, random forest, KNN, ensemble algorithms to classify data, ...
- 2020 Apr 10
Chandler, AZ
... • Used machine learning technique of Fourier transform and logistic regression to predict timestamp feature values using Matlab to regulate the insulin levels in the body using the dynamic bolus-basal injector using assistive neural network. • ...
- 2020 Apr 09
Phoenix, AZ
... availability 1996 - Current Digital Insanity Productions Owner/Operator Own and operate a full service digital production company Logistic solutions for small businesses Design and implement home automation systems Hardware/Software installation and ...
- 2020 Apr 06
Tempe, AZ
... analyzed customer preference and built customer profiles by K-means clustering from 10M+ data • Designed machine learning models (Logistic Regression, Random Forest) in Python to predict stockout ratio for inventory management and marketing strategy ...
- 2020 Apr 06
Phoenix, AZ
... Jupyter Notebook, MySQL, PostgreSQL, RStudio, Tableau, Klipfolio, Machine Learning, Random Forest, K-Nearest Neighbors, Logistic Regression Languages: Python, SQL, R, HTML, CSS, JavaScript, Swift, VBA Macros Certifications: Google Analytics ...
- 2020 Apr 03
Phoenix, AZ
... Encoded categorical features and trained a logistic machine learning algorithm using sklearn. Predicted the conversion probability of a student with 90% accuracy. Analysis: Visualized relationships and trends among features and clusters in data set ...
- 2020 Mar 30
Phoenix, AZ
... via Web scraping, Natural language processing, Machine learning Algorithms, Linear/Logistic regression, Clustering models- K-means and Hierarchal models, dimension reduction methods, Association Rules, Ensembles methods, and Decision tree models. ...
- 2020 Mar 29
Tempe, AZ
... ● ML/DL Algorithms: Linear/Logistic Regression, Decision Trees, Naïve Bayes, kNN, K-Means, Random Forest, SVM, CNN. ● Concepts: Predictive Analytics, Feature Engineering, Bayesian Inference, Pattern Recognition, Data Mining, Boosting. ACHIEVEMENTS / ...
- 2020 Mar 12
Glendale, AZ
... SUMMARY: Results-driven Leader with over 20+ years strategically deploying Corporate goals and initiatives to improve overall business operations from engineering, sales, supply chain, procurement, warehouse, and fulfillment and logistic operations. ...
- 2020 Mar 02
Tempe, AZ
... Fall 2019 • Extracted multiple features from the carbohydrate data of patients and trained 4 different classifiers – SVM, Logistic regression, Random Forest and perceptron with maximum accuracy of 83% of accuracy on test data • Clustered the ...
- 2020 Feb 27