From Bookings to Data-Driven Decisions: Hotel Analytics with Power BI, I developed an interactive Power BI dashboard to analyze booking trends, visualize key metrics, and track KPIs, generating insights to optimize hotel performance and revenue.
Unlocking the Sentiment in Tweets: An NLP Approach, developed sentiment analysis models using Twitter data, applying NLP techniques and custom vectorization to optimize text representation, achieving 85% accuracy with logistic regression.
Customer Billing Prediction: Using machine learning, I developed a customer billing prediction model, performed EDA, and optimized Random Forest for the highest accuracy.
HR Analytics Overview: Using Tableau, I analyzed HR data to identify trends in employee performance, attrition, and engagement, leveraging machine learning for predictive modeling. Developed interactive dashboards, and applied statistical techniques to enhance decision-making and model accuracy.
Loan Default Prediction: Using machine learning, I developed a random forest model for loan default prediction, achieving 78.8% accuracy with effective data preprocessing and feature engineering.
Book Data Analysis: Data Analysis Techniques. Conducted data analysis on book market trends for Silver Book Publishing, utilizing multiple datasets to identify profitable genres, and high-performing authors.