Projects
Airbnb: Leveraging Superhosts
Enhanced Airbnb listing performance by analyzing the dynamics of achieving Super host status. Utilizing advanced machine learning models and a rich panel dataset, providing insights to improve guest experiences and boost overall platform success. A comprehensive analysis and strategic recommendations aimed to significantly improve host performance and guest satisfaction, reinforcing Airbnb's position in the market.
Project
Analysing Digital Platform
Technical Skills
Data Analysis | Statistical Skills | Machine Learning | Predictive Modelling | Python | Data Visualization
Enhanced Airbnb listing performance by analyzing the dynamics of achieving Super host status. Utilizing advanced machine learning models and a rich panel dataset, providing insights to improve guest experiences and boost overall platform success. A comprehensive analysis and strategic recommendations aimed to significantly improve host performance and guest satisfaction, reinforcing Airbnb's position in the market.
Gap inc:
Big data
Project
Web scrapping and Data Analysis
Technical Skills
Python | BeautifulSoup | Selenium | Azure Sentiment Analysis | Machine Learning | Data Visualizaion
LUCKy store: sql database
Lucky Convenience Stores, a well-known chain in West Lafayette, Indiana, is focusing on improving its data management system. The proprietor, currently relies on multiple Excel sheets scattered across different directories for storing data. In collaboration with Lucky Store, the primary objective was to ensure the owner and all other relevant stakeholders can effectively store and manage their data by transforming it from a fragmented Excel-based setup to a robust, efficient, and secure database solution. This enabled the owner to understand the business better and make data-driven decision-making for everyday operations and smooth running of the business.
Project
Developing a SQL Database
Technical Skills
Advanced SQL | ETL | SQL Database Design | Database Modelling and Analysis | Database Implementation
In an era where understanding employment dynamics is crucial for job market entry, our team, embarked on a pivotal project. By analyzing over 15,000 LinkedIn job postings, we aimed to unlock key insights into job roles, industry demands, and salary trends. Utilizing Tableau, transforming complex data into accessible, interactive dashboards, providing actionable intelligence for job seekers and employers alike, and paving the way for informed, data-driven career decisions.
LINKEDIN:
ANALYZING JOB POSTINGS
Project
Data Visualization on Tableau
Technical Skills
Data Analysis | Statistical Skills | Machine Learning | Predictive Modelling | Python | Data Visualization
Data Mining:Firm Collapse prediction
Firm collapse prediction has been a subject of interest for almost a century and it still ranks high among the hottest topics in economics. The aim of predicting financial distress is to develop a predictive model that combines various econometric measures and allows one to foresee a financial condition of a firm. The purpose of bankruptcy prediction is to assess the financial condition of a company and its future perspectives within the context of longterm operation on the market.
Project Type
Data Mining using SAS Enterprise Miner
Technical Skills
Data Mining | Machine Learning | Statistical Analysis | EDA | Data Pre-Processing | Hyperparameter Tuning
BoilerBargains is a tailored coupon portal for Purdue University students, offering exclusive local discounts on dining, groceries, entertainment, and college supplies. Designed to ease the financial burden on over 50,000 students, it features a user-friendly interface for easy navigation of deals, ensuring relevance and substantial savings. By fostering a mutually beneficial relationship between students and local businesses, BoilerBargains stands out for its seamless integration into student life and focus on mobile optimization.