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Boston, MA
... 2019 • Strengthened customer loyalty by 20% as measured by repeat purchase rates by leveraging Logistic Regression and Random Forest algorithms for predictive modeling of customer behavior patterns, which enabled targeted marketing strategies • ...
- Apr 23
Boston, MA
... Fluid AI Mumbai, India Data Scientist September 2021 - August 2022 ● Implemented an ensemble of random forest, ARIMA from an insurance agent's sales history to forecast future quarter performance with 0.76 MAPE in Watson and Frontier with QOQ and ...
- Apr 16
Worcester, MA
... using python libraries such as pandas, Numpy, Scipy Building a classification model using machine learning models (Random Forest, Logistic Regression, Neural Network) Afe-Babalola University, Lagos, Nigeria Bachelor of Engineering, Mechanical ...
- Apr 13
Waltham, MA
... ● Employed various algorithms, including Logistic Regression, Decision Trees, Random Forest, SVM and Gradient Boosting. ● Tuned hyperparameters for optimal model performance and evaluated using metrics like accuracy, precision, and F1-score, ...
- Apr 13
Pawtucket, RI
... Economics, Business and Industries Management - Saint Petersburg State Forest Technical University B.Sc. Forestry and Natural Resources Management - National University of Water and Environmental Engineering, Berezne, Ukraine Certifications Health, ...
- Apr 12
Brookline, MA
... PROJECTS Automated Medical Recommendation System using ML & NLP for Cancer Treatment (Publication) Python, DenseNet121, Random Forest, Long Short-Term Memory, BERT, Shapley Additive Explanations (SHAP) Engineered a medical support system that ...
- Apr 08
Boston, MA
... Applied machine learning algorithms such as linear regression and random forest, actively engaging in data governance to reduce data quality issues by 25%. Crafted tailored Power BI dashboards, leading to a 25% increase in engagement. Collaborated ...
- Apr 05
Boston, MA
... •Conducted comprehensive data analysis to uncover patterns between 20+ restaurant features and ratings, applying techniques such as Decision Tree Regressor, Logistic Regression, and Random Forest Classifier. HIV Epidemic in South America: Database ...
- Mar 24
Worcester, MA
... Education Associate of Arts: General Studies, 08/2006 – 08/2009 STLCC Forest Park – St. Louis, MO GED: 04/2005 STLCC Forest Park – St. Louis, MO References Aimee Bhasme 314-***-**** Steven Marshall 340-***-**** Ricki Faupel 314-***-****
- Mar 15
Boston, MA
... In this, I used linear regression, Decision Tree, Random Forest, Gradient Boosting algorithms for prediction along with some accuracy improving techniques like normalization and RFE. Publications Faster RCNN for detection of Garbage in Tensor flow ...
- Mar 11