Welcome to my data portfolio! Here, I document a summary of my projects in the data field.
| Project Link | Tools | Area | Project Description |
|---|---|---|---|
| Target Case Study | BigQuery,PowerBI | SQL, Data Analysis & Data Visualisation | Exploring E-commerce Trends and Customer Behaviour. An exploratory and in-depth study of the e-commerce market in Brazil. |
| Project Link | Area | Project Description | Libraries |
|---|---|---|---|
| EDA on Ecommerce Data | Data Analysis, Data Visualisation, Confidence Intervals, CLT | This project emphasize on exploratory data analysis (EDA) and hypothesis testing on two comprehensive datasets one containing information on customers visiting the shopping site for purchase and another that has demographic, purchase, and marketing information about the group of people. | pandas, matplotlib, seaborn |
| CRM Analysis | Data Analysis, Data Visualisation, RFM Analysis, Customer Segmentation | This project explores customer behavior in a large e-commerce dataset, uncovering comprehensive CRM data analysis, data preprocessing and EDA techniques to refine customer interaction, and implemented RFM scoring for dynamic customer segmentation, revealing actionable insights on purchasing patterns. | pandas, matplotlib, seaborn |
| Walmart Case Study | Data Analysis, Data Visualisation, Confidence Intervals, CLT | Comprehensive analysis of customer purchase behavior during the Black Friday sales event at Walmart Inc. Exracting valuable insights that can assist the management team at Walmart Inc. in making data-driven decisions. | pandas, matplotlib, seaborn |
| Aerofit Case Study | Data Analysis, Data Visualisation, Conditional Probability, Customer Profiling | Creating comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Analyzing conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions. | pandas, matplotlib, seaborn |
| Netflix Case Study | Data Analysis, Data Visualisation | Analyzing the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries. | pandas, matplotlib, seaborn |
| Project Link | Tools | Area | Project Description |
|---|---|---|---|
| Retail Store Sales Analysis | Tableau | Data Visualisation | Sales Dashboard empowers emerging businesses with actionable insights, paving the way for strategic growth and enhanced profitability |
| Netflix Insights | Tableau | Data Visualisation | Created a dynamic Tableau Dashboard facilitating user exploration of Netflix movie insights seamlessly |
| HR Insights Dashboard | Tableau | Data Visualisation | Created a dynamic Tableau Dashboard to seamlessly facilitate user exploration of HR insights, providing a comprehensive overview of human resources data. |
| Wine Sales Insights | Tableau | Data Visualisation | Created a dynamic Tableau Dashboard for insights into of Australia's wine sales revenue , providing a comprehensive view of the market. |
| Sales & Profit Analysis | Python,Tableau | Data Wrangling & Data Visualisation | The dashboard offers a comprehensive analysis of various KPIs such as sales trends, top customers, and product categories. Users can explore data extensively by region, category, or segment. Equipped with filters, the dashboard allows for customized views catering to different business needs. |
| Project Link | Area | Project Description |
|---|---|---|
| Ecommerce vs Physical Stores | Market Research | Conducted a comparative analysis of online vs. offline business models, utilizing data from different industry reports and surveys to highlight key operational efficiencies, market reach, and customer engagement strategies, contributing novel insights into adaptability and innovation in e-commerce. |
| Ecommerce Subscription Business | Market Research | Designed a comprehensive research project examining the impact of customer-centric strategies on CLV and churn for subscription-based e-commerce businesses, employing advanced analytics to correlate marketing tactics with customer loyalty metrics along with challenges faced by the businesses. |
| Ecommerce Conversion Strategies | Market Research | Analyzed successful e-commerce strategies for optimizing conversion rates, focusing on data-driven user experience improvements, influencer marketing impact, and user-generated content, showcasing measurable outcomes in conversion rate uplifts, customer engagement, and loyalty program effectiveness. |