1- Developing Predictive Analytics and Drug Recommender System Engine for Patients Diagnosed with Breast Cancer (Available online at http://1data.olathe.ksu.edu/drugassist):•Developed Survivability models using Classification models (SVM, Decision Tree, Random Forest, Logistic Regression) on Python using Scikit-Learn package.•Raw Data Preparation by mapping data from different sources such as flat files and Online Sources using Linux shell commands, Web Crawling and data science using… Show more 1- Developing Predictive Analytics and Drug Recommender System Engine for Patients Diagnosed with Breast Cancer (Available online at http://1data.olathe.ksu.edu/drugassist):•Developed Survivability models using Classification models (SVM, Decision Tree, Random Forest, Logistic Regression) on Python using Scikit-Learn package.•Raw Data Preparation by mapping data from different sources such as flat files and Online Sources using Linux shell commands, Web Crawling and data science using Pandas and XPath packages in Python.•Developing drug recommender system engine to reduce the risk using classification models and simulation on multiple responses.•Text mining, Sentiment Analysis, and Word Cloud plotting on drug adverse drug reactions using NLTK package in Python.•Feature engineering by feature hashing and text encoding techniques using Scikit-Learn package in python.•Deploying Machine Learning models on Web using Flask package in Python.•Parallel predictive analytics using Random Forest model on the server. Show less

1.Developing Multi-stage Predictive and Optimization Model Using Classification and Clustering Techniques (Ph.D. dissertation):•Developed multi-stage predictive models using Random Forest Classifier and feature importance techniques.•Predictive analytics on high dimensional semi-conductor data using K-means clustering and Recursive Feature Elimination (RFE) techniques.•Predictive analytics on imbalanced production data using SMOTE and logistic regression techniques from Scikit-Learn… Show more 1.Developing Multi-stage Predictive and Optimization Model Using Classification and Clustering Techniques (Ph.D. dissertation):•Developed multi-stage predictive models using Random Forest Classifier and feature importance techniques.•Predictive analytics on high dimensional semi-conductor data using K-means clustering and Recursive Feature Elimination (RFE) techniques.•Predictive analytics on imbalanced production data using SMOTE and logistic regression techniques from Scikit-Learn and ImbLearn packages.2.Developing Fuzzy Decision Support System for Patients with Kidney Diseases:•Designed Predictive Models using Fuzzy Rule-Based Systems applied by Set package in R.•Developing Ranking Distribution For Recommender System using Simulation in R.3.Developing Predictive model for the Flooded Real States:•Web Crawling using BeautifulSoup and Crawling in Python.•Developing Predictive Models using Regression Models.•Sentiment Analysis on Customer Reviews using the NLTK package in Python.4.Predicting Movie Sales:•Crawling Data from Twitter on Amazon AWS clusters using Python.•Analyzing Json Unstructured Data using Python.•Predicting Movie Sales Using Regression Models.5.Allocating Server Resources using Machine Learning Techniques:•Data Wrangling using Linux Shell scripts.•Data Cleaning and Transformation using Python.•Developing a Resource Allocation Model Using Regression Models. •Feature Selection Using Recursive Feature Elimination (RFE) techniques.6.Analyzing Production Data in DMC II hackathon –UI labs Competition in Chicago, IL:•Data Query using Hadoop Cloudera Ecosystem techniques such as Hive, Impala, and Pig.•Analyzing Data and Providing Segmented Reports using Map-Reduce Techniques written by RMR2 package in R. Show less

Introduced and Implemented SMS service that increased the sales rate by 40% and has millions of transactions per day.Reduced 40% of total customer calls per day by implementing Knowledge management system.Documenting the overall product information.Organized agents through the country (more than 15 agents).Systematized the education system