MY PROJECTS

Website Clone

Technology Used:HTML,CSS

In this project, I successfully replicated the layout and design of a complex website using HTML and CSS. The goal was to recreate the user interface and visual elements of the original website while gaining practical experience in front-end web development..

HTML Structure: I meticulously reconstructed the website's structure using HTML elements to match the original layout.

CSS Styling: By applying CSS styles, I achieved a pixel-perfect representation of the original website's design, including fonts, colors, and spacing.

Learning Experience: This project enabled me to gain deeper insights into CSS specificity, layout positioning, and the importance of cross-browser compatibility

By completing this project, I strengthened my proficiency in HTML and CSS, while also honing my attention to detail and ability to replicate complex web designs. The experience further solidified my foundation in web development and responsive design principles..

Sales Analysis

Technology Used:python-numpy.,pandas, matplotlib

In this project, I leveraged popular Python libraries including Pandas, NumPy, and Matplotlib within Jupyter Notebook to perform a comprehensive analysis of sales data. The primary objective of the project was to gain insights into the company's sales performance, trends, and patterns, aiding in strategic decision-making.

Key Steps and Achievements:

Data Preparation and Cleaning: Utilized Pandas to load and manipulate the raw sales data, which included details like transaction dates, product names, quantities, and prices. Conducted data cleaning by handling missing values, outliers, and inconsistencies to ensure accurate analysis.

Data Exploration: Employed Pandas' DataFrame capabilities to explore and summarize the sales dataset. Calculated essential metrics such as total revenue, average order value, and top-selling products. Used NumPy to compute statistical insights

Visual Representation: Leveraged Matplotlib to create a variety of visualizations, including line plots, bar charts, and histograms. Visualizations helped in showcasing trends over time, product popularity, and distribution of key metrics.

Conclusion and Recommendations: Summarized key findings and insights from the analysis, providing actionable recommendations for improving sales strategies, optimizing inventory management, and capitalizing on emerging trends.

The project demonstrated my proficiency in Python data analysis libraries and showcased my ability to extract valuable insights from raw data. By combining data manipulation, visualization, and statistical analysis, I was able to provide a comprehensive sales overview that informs data-driven decision-making within the organization

T20 World Cup 2022 Analysis

Technology Used:NumPy, Pandas, Power BI

The Cricket T20 World Cup 2022 Analysis and Playing 11 Selector is a comprehensive project that utilizes Python libraries and Power BI to provide insights and assist users in selecting the best playing 11 for the T20 World Cup. By analyzing match data, player statistics, and performance metrics, this project empowers users to make informed decisions when forming their ideal team lineup.

Key Steps and Achievements:

Data Collection and Cleaning: The project fetches T20 World Cup 2022 match data from crickinfo. The data is then cleaned and structured for analysis.

Power BI Dashboard: The project integrates Power BI to build an interactive and visually appealing dashboard. The dashboard showcases crucial insights from the analysis, providing users with a holistic view of player and team performance

Power BI Dashboard: The project integrates Power BI to build an interactive and visually appealing dashboard. The dashboard showcases crucial insights from the analysis, providing users with a holistic view of player and team performance

Benifits:

Informed Decision-Making: Users can base their playing 11 choices on data-driven insights rather than intuition, leading to more strategic team selections

Optimized Performance: The project helps users create well-balanced teams by considering player strengths, weaknesses, and historical performance.

Interactive Exploration: The Power BI dashboard provides an interactive platform for users to explore different aspects of player and team performance through customizable visualizations.

Enhanced Engagement: Cricket enthusiasts can engage with the game on a deeper level by understanding the nuances of player statistics and team dynamics.

Conclusion: The Cricket T20 World Cup 2022 Analysis and Playing 11 Selector project bridges the gap between data analysis and sports strategy. By leveraging Python libraries and Power BI, users can dive into the world of cricket analytics and optimize their team's chances of success in the T20 World Cup.

SHAW NEWS Website

Technology Used:CSS,HTML,JAVASCRIPT

The Personalized News Website is a dynamic platform built using HTML, CSS, and JavaScript that allows users to customize their news experience. By leveraging the News API from newsapi.org, this website provides users with the latest news articles based on their preferences

key features:

User Preferences: Users can specify their topics of interest, such as technology, sports, entertainment, and more.

Dynamic Content: The website fetches news articles in real-time through API calls to newsapi.org, ensuring up-to-date information.

Interactive Interface: Users can interact with the website to view more details or read the full article.

Challange faced:

API Integration: Understanding how to make API calls, parse JSON responses, and handle asynchronous operations.

Dynamic Rendering: Ensuring that news articles are displayed dynamically on the page without manual intervention.

User Experience: Designing an intuitive user interface that allows users to easily select and read news articles.

Conclusion: The Personalized News Website project demonstrates the integration of HTML, CSS, and JavaScript to create an interactive and engaging platform where users can tailor their news consumption based on their interests. By leveraging the News API, users can stay informed about the latest developments in their chosen fields of news..