- 🌟 I am a fresher in Data Science, passionate about uncovering stories hidden in data.
- 🧑💻 Experienced with Python, Pandas, NumPy, and machine learning frameworks.
- 🔢 Love building data-driven solutions and interactive dashboards.
- 🌱 Currently gaining my skills in Deep Learning and PowerBI.
- 💬 Ask me about data wrangling, visualization, or finding insights!
- 📫 How to reach me: Email | LinkedIn
Book Inventory Analysis is an end-to-end analytics project that combines web scraping, SQL insights, and Python-based data visualization to extract and analyze book data from 'Books to Scrape'. The project demonstrates the full workflow from raw web data extraction to actionable business insights.
Tags:
Links: GitHub Repository
It is a data analysis project that focuses on the foundational steps of the data science workflow. The project begins with data cleaning, which involves handling missing values, correcting inconsistencies, and formatting data for analysis. Following this, Exploratory Data Analysis (EDA) is performed to discover patterns, detect outliers, and summarize key characteristics of the dataset, often through visualizations and summary statistics. Finally, the project applies statistical methods to test hypotheses, understand relationships between variables, and draw meaningful conclusions from the data.
Tags:
Links: GitHub Repository
Thank you for taking the time to review my profile and projects. I'm always open to feedback and collaboration!