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Buffalo, NY
... Statistical Methods, Probability, Statistical Inference, Distribution Free Inference, Introduction to Computer Programming, Logistic Regression, Time Series Analysis, Sample Surveys Theory-Methods, ANOVA WORK EXPERIENCE Southtowns Animal Hospital - ...
- 2020 Jun 13
Buffalo, NY
... ACADEMIC PROJECTS (GitHub_link) CREDIT CARD FRAUD ANALYSIS USING VARIOUS SAMPLING TECHNIQUES Balanced the highly skewed dataset which had 3 % fraud transactions using under sampling, over sampling and SMOTE techniques and built a logistic regression ...
- 2020 Mar 26
Buffalo, NY
... Logistic Regression; Neural Network; Principal Component Analysis; Clustering; Anomaly Detection; Tree-based Modeling Software Python, MATLAB, SPSS, SAS, SQL, Minitab, R, Tableau, Adobe Photoshop Data Science Certifications Machine Learning by ...
- 2019 Nov 07
Buffalo, NY
... ML Libraries: Numpy,Pandas,Scikit-learn,Keras,Tensorflow Machine Learning: Generalized Linear Models (Linear, Lasso,Ridge, Logistic), Classification algorithms (Support Vector Machines, Decision Trees, etc.),K-Means Clustering, Time Series, Ensemble ...
- 2019 Nov 04
Buffalo, NY
... 3)I WAS A MAJOR PLAYER IN THE INCLUSION OF A LOGISTIC GPS DRIVEN DELIVERY SYSTEM PROGRAM THAT IS TIED IN TO OUR CURRENT COMPUTER SYSTEM (SEPARATE MODULE OF THE OVERALL PROGRAM) WHICH ALSO INCLUDES A SIGNATURE CAPTURE MODULE FOR ALL DELIVERIES AND ...
- 2019 Apr 12
Buffalo, NY
... from different subreddits into json format(webscraped), cleaned, analyzed and prepared the data Modeled this data using KNN, Logistic Regression and Random Forest with tuning parameter, reducing overfit Predicting income levels of people (Imbalanced ...
- 2019 Apr 03
Orchard Park, NY
... Oracle system Enterprise 1 and SAP super user, Product control and allocation, International compliance specs trainer, Logistic control, freight and transportation management, following the shipment very closely from the beginning to the end to ...
- 2019 Mar 23
Buffalo, NY
... and used algorithms such as Logistic Regression, Support Vector Machines and Boosted Decision Trees during the development process. An accuracy of upto 96 percent was achieved on the test dataset. Technologies used: Python, Jupyter Notebook, Pandas, ...
- 2019 Feb 18
Buffalo, NY
... For the news data, Spark MLlib was used for News Classification using Logistic Regression, Random Forests and Naïve Bayes. >80% accuracy obtained. Human Resource Analytics (Kaggle) Fall 2017 Developed models in R to predict an Employees satisfaction ...
- 2019 Feb 08
Buffalo, NY
... - Applied classification algorithm like logistic regression, RF, Naive Bayes on data using PySpark to get almost 80% accuracy for all methods. 4) Word count and word co-occurrence using MapReduce Python, ArticleAPI, TweePy, Pandas, D3.js, MRJob, ...
- 2019 Jan 23