Netflix Recommendation Engine(Hands on)

I developed a mathematical model to predict and recommend the next content that Netflix should show to users who have already watched a show. In other words, Created Netflix Recommendation Engine to help the business to retain customers.

AirBNB Project

Insights: Property types receive the most positive reviews. Neighborhood's host the most listings. Neighborhood's receive the most positive reviews. Successful Hosts Revenue. Identify the host that generates the most revenue. Provide a profile of Airbnb activity in Washington. Top Performer.

HR Attrition Dashboard

HR Attrition Dashboards provide valuable data points, such as: Overall attrition rate Attrition by department, job role, and demographics. Trends in attrition over time.

Youtube Analysis

Perform a comparative analysis between Company A and Company B YouTube channels, providing recommendations to their content creators to attract more views, likes, and subscriber count by analyzing traffic sources.

Top 1000 R&D Spending as % of Revenue

Based on these findings, it is recommended to benchmark R&D spending against the top 10, 25, or 50 spenders, depending on the specific R&D expenditure level. We suggest organizing a meeting with the financial community to finalize the appropriate benchmark for comparison.

Twitter Analysis

Perform a comparative analysis between Company A and Company B Twitter, providing recommendations to their content creators to attract more views, likes, and followers.

Customer Analysis

Developed a Tableau dashboard that analyzes revenue by region, gender, and age, and tracks monthly revenue to identify revenue distribution.

King Country House Sale

Created a Tableau dashboard for Washington house sales, highlighting key distribution patterns in the data.