hotel Booking Analysis (EDA)

I performed Exploratory Data Analysis (EDA) on a hotel booking dataset (87,396 rows, 32 columns). After thorough data cleaning, I analyzed aspects like booking numbers, agent performance, and guest preferences, presenting insights through 15 visualizations. Visit my LinkedIn for project details.

Diabetes Prediction Analysis - POWER BI

Title: Diabetes Prediction Modeling and Visualization Objective: Predict and visualize potential diabetes cases through in-depth analysis of relevant datasets. Intern Tasks: 1.) Data Preparation 2.) Data Cleaning 3.) Feature Engineering 4.) Model Development 5.) Interactive Dashboard

HR Data Analysis - Power BI

Interned at Psyliq, focused on HR Data Analysis with Power BI. Cleaned, organized data, and engineered features for performance metrics. Developed an interactive Power BI dashboard. Achievements include transforming raw data and ensuring integrity. Gained skills in HR data analysis, dashboard.

Pharma Data Analysis - Power BI

Interned at Psyliq, focused on Pharma Data Analysis with Power BI. Cleaned, organized data, developed a predictive model, and created an interactive dashboard. Gained skills in predictive modeling, data cleaning, and dashboard creation for pharmaceutical analysis.

Netflix Movies and TV shows Clustering- Unsupervised learning

Explored Netflix data, noting a rise in TV shows and decline in movies since 2010. Conducted data preprocessing and NLP for text analysis. Implemented K-means and Agglomerative clustering, with K-means as the optimal algorithm. Utilized clusters to develop a content-based recommendation system.

Netflix Movies And TV Shows - Tableau

Interned at AlmaBetter, analyzed Netflix trends using Tableau. Enhanced data quality, developed a predictive model, and created an interactive dashboard. Achievements include transforming data and gaining skills in analysis, feature engineering, and trend prediction.

Magnitude-6-Earthquakes--Power-BI

Interned at AlmaBetter, focused on Magnitude 6+ Earthquake Prediction using Power BI. Cleaned data, developed a predictive model, and created an interactive dashboard for informed decision-making. Gained skills in predictive modeling, data cleaning, and dashboard creation for earthquake analysis.

Health Insurance Cross sell Prediction--Classification

**Trainee Project at AlmaBetter: Capstone Project on Predicting Vehicle Insurance Interest** Predicting interest in vehicle insurance among health policyholders for business optimization. Utilizes customer data and ML models. Main libraries: Pandas, Matplotlib, Seaborn, NumPy, Scikit Learn.

Appliance Energy Prediction-Regression

Appliance Energy Prediction. Analyzing 4.5-month data recorded every 10 min. Objective: Build a machine learning model predicting energy consumption. Data preprocessing included type identification,null value handling, and outlier removal. Regression models evaluated based on R2 scores for goodness.

Hotel Booking Analysis - Power BI

Utilized EDA to create Power BI charts depicting key metrics such as number of bookings, agent involvement, length of stay, booking months, visitor demographics, and guest room and food preferences.