Unveiling ODI Cricket’s Finest: World Cup 2023 In-Depth Analysis
Identified the top batsmen, bowlers, and dream team formations. Built own dataset by web scraping (Python’s Beautiful Soup and Pandas, Selenium), data modeling, and built insightful & vibrant visualizations in Tableau. This project crafts optimal squads (Balanced, Bowling Max, Batting Max) and highlights key player performances. Get ready to explore the cricketing world in a nutshell!
Customer Churn Prediction for Proactive Retention
Analyzing Customer Churn to Predict and Retain Users. Leveraged Pyspark, Python, SQL, AWS S3, and EMR for data preprocessing, ML model development, and hyper-tuning. Achieved impressive 81.85% accuracy and 0.74804 F-1 Score on a 12GB dataset, enabling proactive strategies for customer retention.
Flames Unleashed: Data Science Fire Analysis
As part of STAT-683 Data Science Capstone worked as a student consultant & collaboration on a project with Texas A&M Forest Services. Present 4 key solutions that can be utilized to improve Fire-response time. For each of the project major task was data Engineering, data Understanding, and documentation.
1. Fire Size Classification Model
2. Time -Sereis Analysis
3. Optimization Model to select locations of New Furestations
4. Researching forest sampling methodology
RescueAI: Targeted Relief through Message Classification
Developed a multi-model classification pipeline to categorize messages and aid targeted relief efforts with 36 agencies. Created a user-friendly web app using Flask, HTML, CSS, and JavaScript for easy access to the classification model.
360 Business Insight Analysis – Power BI
The objective of this project is to develop an engaging and interactive Power BI report that presents a holistic view of performance metrics for a company. The Dashboard will offer valuable insights into key areas such as sales, finance, marketing, and supply chain, catering to both detailed analysis and an executive-level summary.
Cracking the Airbnb Code: Insights on Prices, Ratings, and Reviews
Unveiling Seattle’s Airbnb Market: Used Python and Tableau to analyze pricing dynamics, host characteristics, and guest review sentiments. Explore trends, debunk myths, and extract insights from reviews for a captivating stay.
Stochastic Vehicle Routing
This Project tackles NP-hard VRP challenges, seeking to minimize transportation costs and stockouts in the last-mile delivery process. Analyzing the exponential time complexity, the study proposes solutions to optimize routes and enhance production systems.
SQL Mastery: 8 Complex Challenges
This repository showcases my proficiency in SQL, where I have solved 8 complex case studies, writing over 1750 lines of code. These challenges involved real-life problems and allowed me to gain valuable insights from the data.