ishah6
Data-enthusiast | Business Intelligence Engineer | Data Scientist | Business Analyst | Healthcare | ZS | SQL, Tableau, Python, Excel | Seeking a full-time job
Arizona state universityTempe, AZ
Pinned Repositories
Marketing-Enterprise-Data-Modeling
NIKE Marketing: How to enhance customer loyalty/retention through an E-commerce marketing strategy? Designing database schema using Relational Schema & Entity-Relationship Diagram; Querying with SQL
Recommendation-Similarity-KNN
User-based recommendation engine using Pearson Correlation similarity and KNN
Churn-Prediction-Model
Data Preprocessing, EDA, SMOTE, Training models, Stacking, Observations, Suggestions
Survival-Chances-Logistic-Regression
Predicting survival chances with logistic regression algorithm using Python & StatTools
HealthCare-Sklearn-Pipeline
Training the model to predict Heart patients using One Hot Encoding & Standard Scaler within Sklearn Pipeline method
Tableau-Dashboard
Answering key questions on World Classic Movie Rentals history using Tableau
Recommendation-Network-Analysis-Text-Processing
Using Text Processing, Network Analysis and Recommendation Systems to make a product recommendation based on Product Co-purchase data
Advanced-Regression
House Prices - Data Preprocessing, EDA, Normalisation/Rescaling, Regression methods, Hyperparameter tuning, Ensemble
Clustering-Wholesale-Customers
Clustering customers using K-Means with hyperparameter tuning
Customer-Satisfaction-Decision-Tree
Santander Customer Satisfaction Kaggle dataset: Comparing various Decision Tree parameters
ishah6's Repositories
ishah6/HealthCare-Sklearn-Pipeline
Training the model to predict Heart patients using One Hot Encoding & Standard Scaler within Sklearn Pipeline method
ishah6/Tableau-Dashboard
Answering key questions on World Classic Movie Rentals history using Tableau
ishah6/Customer-Satisfaction-Decision-Tree
Santander Customer Satisfaction Kaggle dataset: Comparing various Decision Tree parameters
ishah6/Forecasting-Imbalanced-Data-SMOTE
Predicting the customers who will purchase a quoted insurance plan using SMOTE algorithm and Classifiers like Decision Tree, Random Forest, Linear SVC, MLP, KNN, Ensemble Stacked of the best
ishah6/HealthCare-Text-Mining
Health Pro vs NonPro data: Text Preprocessing, Text Vectorization, and Text Classification using MultinomialNB; Using SKLearn Pipeline and Grid Search concepts
ishah6/Feature-Selection-Text-Mining
Customer Churn Prediction using stemmers with stop words, Constructed term-document matrix, TF-IDF matrix, compared wrapper and filter type feature selection classifiers
ishah6/Targeted-Marketing-Hyperparameter-Tuning
Banking: Identifying potential customers for cross-selling by utilising Data Mining models like Decision tree and Random forest classifiers
ishah6/Fraud-Detection-Hyperparameter-Tuning
Predicting Fraud in Insurance Claims using Decision Tree and Random Forest Models on Python
ishah6/Time-Series-Sales
Finding similar time series in Sales Transaction Data using K-means clustering
ishah6/Clustering-Wholesale-Customers
Clustering customers using K-Means with hyperparameter tuning
ishah6/Recommendation-Network-Analysis-Text-Processing
Using Text Processing, Network Analysis and Recommendation Systems to make a product recommendation based on Product Co-purchase data
ishah6/Churn-Prediction-Model
Data Preprocessing, EDA, SMOTE, Training models, Stacking, Observations, Suggestions
ishah6/HealthCare-Blog-IOT-ML
Blog on bringing IoT and Machine Learning to Healthcare
ishah6/Advanced-Regression
House Prices - Data Preprocessing, EDA, Normalisation/Rescaling, Regression methods, Hyperparameter tuning, Ensemble
ishah6/Recommendation-Similarity-KNN
User-based recommendation engine using Pearson Correlation similarity and KNN
ishah6/Survival-Chances-Logistic-Regression
Predicting survival chances with logistic regression algorithm using Python & StatTools
ishah6/Marketing-Enterprise-Data-Modeling
NIKE Marketing: How to enhance customer loyalty/retention through an E-commerce marketing strategy? Designing database schema using Relational Schema & Entity-Relationship Diagram; Querying with SQL
ishah6/Race-Car-Design-Of-Experiments
Designing a Lego Car through DOE method; Executed Full factorial design, Hypothesis testing, Regression Analysis ANOVA analysis in Minitab