Naveen_Portfolio
Data Science Portfolio
Domain - Retail
Project 1 : Customer Purchase Behaviour Study
Overview We need to understand our customer’s purchase behaviour and rank them on the basis of how much they spend, how frequent they visit and how recent they visited.
Research shown:
- Cohort Analysis
- Customer Retention
- Recency Frequency Monetary Model (RFM)
- EDA
- Elbow method for Optimum clusters
Domain - Finance
Project 2 : Fraud Detection
Goal We aim to explore the options when we have highly skewed dataset to prepare the model and best performance meteric to be used for evaluation and prepare a model comparison report.
Work Plan:
- Here will see how to deal with imbalanced dataset
- What performance metric we should choose and Why?
- How to deal with highly skewed dataset - Undersampling , Oversampling , SMOTE
- Perform Precision-Recall trade off
Domain - Entertainment
Project 3 : Predicting Movie Rating
Overview Providing Statistical understanding for movie rating dataset.
Research shown:
- EDA
- Feature Selection - Chi-square test
Domain - Customer Service
Project 4 : Customer Complaint Analysis
Overview We aim to understand the customer complaints and its resolution time & Feature responsible for reolution time.
Research shown:
- EDA
- Hypothesis Testing & Chi-square testing