Khushbu Ahuja Email & Phone Number

Hello! I'm Khushbu Ahuja, a student at TSEC with a passion for data visualization and web development. Currently, I’m honing my skills in Microsoft Power BI, where I've created several engaging dashboards to turn data into actionable insights.On the frontend, I work with HTML, CSS, JavaScript, Bootstrap, and Tailwind CSS. I’ve applied these skills in various projects, including an organic food website, a café site, and clones of popular platforms like Zerodha (complete with a data-driven user dashboard), GitHub, and Zoom.I’ve also earned a SQL badge on LeetCode and am now delving into backend development and basic data analysis. As a beginner, I’m enthusiastic about expanding my skill set and tackling new challenges in both web development and data visualization.I’m excited to connect with like-minded professionals and explore opportunities to collaborate and learn

• Exploratory Data Analysis

  Criccatalyst

  2008 - 2023

  Predict winners of Indian Premier League (IPL) cricket matches.Target Audience: Cricket fansAnalysis Period: 2008 to 2023IPL seasonsTechnologies: Python• Data Acquisition: CricCatalyst likely utilizes web scraping or APIs to collect historical IPL match data. Public data sources like ESPN Cricinfo or official IPL websites could be potential targets.• Data Preprocessing: The collected data might require cleaning, handling missing values, and feature engineering to prepare it for analysis.• Machine-learning models are yet to apply to make it more convenient for useCricCatalyst is a great example of using Python for data analysis in sports. By leveraging historical data and machine learning techniques, it can potentially help cricket fans make more informed predictions about IPL match winners.