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Data Science/Business Analytics Portfolio
Python - Foundations
Supervised Learning - Foundations
Business Statistics/ A/B Testing
FoodHub Order Analysis-Python
The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to draw some actionable insights for the business. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some o
FoodHub Order Analysis-Python
The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to draw some actionable insights for the business. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions that need to be answered. Perform the data analysis to find answers to these questions that will help the company to improve the business.
Python - Foundations
Skills & Tools Covered
Exploratory Data Analysis (Variable Identification, Univariate analysis,
Bi-Variate analysis)
Python
Business Statistics/ A/B Testing
Supervised Learning - Foundations
Business Statistics/ A/B Testing
E-news Express Project
This project used statistical analysis, A/B testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that wil
E-news Express Project
This project used statistical analysis, A/B testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that will help to conclude the effectiveness of the new landing page. Apart from that, the dependence of conversion on the preferred language will also be analyzed in this project.
Business Statistics
Skills & Tools Covered
Hypothesis Testing
A/B testing
Data Visualization
Statistical Inference
Supervised Learning - Foundations
Supervised Learning - Foundations
Supervised Learning - Foundations
ReCell
Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
Supervised Learning _ Foundations
Skills & Tools Covered
EDA
Linear Regression
Linear Regression Assumptions
Business Insights and Recommendations
Data Science/Business Analytics
Supervised Learning - Classification
Supervised Learning - Classification
Supervised Learning - Classification
INN Hotels
Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
Supervised Learning - Classification
Skills & Tools Covered
Explo
INN Hotels
Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
Supervised Learning - Classification
Skills & Tools Covered
Exploratory Data Analysis
Data Preprocessing
Logistic Regression
Multicollinearity
AUC-ROC Curve
Decision Tree
Pruning
Ensemble Techniques
Supervised Learning - Classification
Supervised Learning - Classification
EasyVisa
Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
Ensemble Techniques
Skills & Tools Covered
EDA Data Pre
EasyVisa
Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
Ensemble Techniques
Skills & Tools Covered
EDA Data Preprocessing
Customer Profiling
Bagging Classifiers (Bagging and Random Forest)
Boosting Classifier (AdaBoostGradient BoostingXGBoost)
Stacking Classifier
Hyperparameter Tuning using GridSearchCV
Business insights
Model Tuning
Supervised Learning - Classification
Model Tuning
"ReneWind"
"ReneWind" is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. The objective is to build various classification models, tune them and find the best one that will help identify failure
"ReneWind"
"ReneWind" is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
Model Tuning
Skills & Tools Covered
EDA Data Preprocessing
Up and downsampling
Regularization
Hyperparameter tuning
Data Science/Business Analytics
Unsupervised Learning
"Trade&Ahead"
"Trade&Ahead" financial consultancy firm who provide their customers with personalized investment strategies. Analyze the stocks data, grouping the stocks based on the attributes provided, and sharing insights about the characteristics of each group.
Unsupervised Learning
Skills & Tools Covered
EDA Data Preprocessing
Kmeans Clustering
Hierarchical Clustering
Cluster Profiling
Post Graduate Program Highlights
