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Resumes 221 - 230 of 25319 |
Hayward, CA
... • Built predictive models (Logistic Regression, Decision Tree, Random Forest) to forecast election outcomes using demographic and financial data, optimizing model performance with cross-validation. • Identified key predictors of election success, ...
- Jul 27
Balch Springs, TX
... Control & Project Management: GitHub, Jira, AGILE ● Machine Learning: NO THANKS GET THE APP Supervised/Unsupervised Learning: Logistic Regression, Random Forest, Support Vector Machine, k-Nearest Neighbors, Linear Regression, Random Forest, Support ...
- Jul 26
Brookline, MA
... Boston University School of Public Health Research Assistant Department of Global Health (Part - Time) Boston, MA Jan 2025 – May 2025 • Conducted publication-multivariable ready shell tables logistic and regression Alagged data on a inconsistencies, ...
- Jul 26
Worcester, MA
... CORE SKILLS & TECHNOLOGIES • Programming Languages: Python, R, PySpark (Model development, Deployment) • Database Languages: SQL (Databases – Oracle, DB2, MySQL, Teradata) • Machine Learning: Linear Regression, Logistic Regression, Decision Tree, ...
- Jul 26
Allen, TX
... Multiple logistic regression to predict customer churn (GitHub link) Building multiple logistic regression models in Python with statsmodels to assess factors influencing the probability of customer churn. Used primary component analysis and ...
- Jul 26
Bengaluru, Karnataka, India
... Ltd., Associate Lead (Data Analyst) Feb 2020 – Jan 2022 Bangalore, India •Working experience in supply chain domain and logistic industry. •Have working experience in maintaining performance metrices and its improvement. •prepared analysis reports ...
- Jul 26
Cary, NC
... ● Anticipated and troubleshot logistic and compliance barriers. ● Evaluated case files to determine issues and sufficiency of evidence or documentation, analyzing Social Security Administration. ● Created Rules, Division of Medical Assistance ...
- Jul 26
Boston, MA
... Dec 2024 ●Built and evaluated multiple predictive models using Logistic Regression, Random Forest, and Deep Neural Networks to classify risk of heart disease on a dataset of 2,000+ patient records. ●Performed data cleaning, feature selection, and ...
- Jul 25
Denver, CO, 80204
... Key Projects: •Predictive churn model using Python & SQL (Random Forest, Logistic Regression) with 82% accuracy •Commission performance analysis for top earners, used for restructuring compensation plans •Japan market launch: Built full suite of BI ...
- Jul 25
United States
... Using machine learning models such as Logistic Regression, developed a classification solution that achieved over 85% accuracy in predicting churn rate. Database Management of Eyewear Company Tableau, Microsoft Excel, SQL •Built, deployed and ...
- Jul 25