Business Performance Analysis (Data Cleaning + EDA)

In this Project, I uncovered valuable insights into customer behavior and sales trends. I performed data cleaning, preprocessing, and exploratory data analysis to identify patterns and correlations.

Customer Satisfaction Analysis with NLTK (NLP)

Using NLP techniques, I extracted sentiments from reviews to provide insights for optimizing the product lineup and enhancing customer satisfaction.

Customer Segmentation Analysis (K-Means & DBSCAN)

By applying K-Means and DBSCAN clustering algorithms, I identified distinct customer groups to help the mall owner target promotions and sales strategies more effectively, thereby increasing conversions.

Employee Churn (Logistic Regression & Tree Based Models)

Developed a predictive model to identify employees at risk of leaving the company and provided data-driven suggestions to the HR department based on insights gained from the analysis.

TikTok: Claims Classification (XGBoost & Random Forest)

This project focused on developing and evaluating a predictive model using Random Forest and XGBoost algorithms to classify user claims in TikTok videos. The goal was to enhance content moderation efficiency by prioritizing and handling user reports more effectively.

New York City Taxi Commission (A/B Testing)

The goal is to apply descriptive statistics and hypothesis testing in Python. Discover if customers who use credit cards pay higher fare amounts than customers who use cash.

Data Science Job Market Analysis (SQL)

Explore the dynamic data job market with a focus on data scientist roles! This project delves into the highest-paying positions, essential skills in demand, and the sweet spots where top talent meets top salaries in data analytics.

King County House Price Interactive Dashboard (Tableau)

This interactive dashboard provides a comprehensive analysis of house prices in King County, Washington. Designed for real estate professionals, home buyers, and researchers, the dashboard offers detailed insights into the local housing market.

Product Recommender System: OpenAI Text Embedding

Developed a prototype to recommend products that the user has never viewed before, based on their recently viewed products by leveraging OpenAI's text embedding models to build a text-based recommendation system using Python.