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I’m currently building my personal portfolio website using HTML, with ongoing updates and improvements each day. The site is designed to showcase my projects, skills, and experiences in data analytics, IT, and web development. It serves as a central hub where visitors can learn more about me, view my resume, explore my work, and get in touch. While still a work in progress, I’m focusing on clean design, responsive layout, and easy navigation to create a professional and user-friendly experience. As I continue to grow my skills, I’m integrating more advanced features like interactive charts and project demos. This evolving project reflects my commitment to continuous learning and serves as a live canvas for applying what I’ve learned in real time.
I used Pandas to clean data by filling missing values with .fillna() and applying custom transformations with lambda functions. This helped standardize inconsistent entries and ensure the dataset was complete and ready for analysis.
This project analyzes customer demographics and purchasing behavior to identify trends among bike buyers. Using Excel, I performed data normalization, created pivot tables, and built an interactive dashboard to visualize key insights like income levels, commute distances, and buyer profiles.
I built an Amazon web scraper using Python to extract product details like titles, prices, and availability in real time. It uses requests and BeautifulSoup to parse HTML and collect data, with optional automation using schedule or time. This project helps track price changes efficiently for analysis or alerts.
I conducted Exploratory Data Analysis using Pandas, NumPy, Seaborn, and Matplotlib to explore and visualize data. I used statistical summaries, correlation heatmaps, and distribution plots to uncover patterns, detect outliers, and understand relationships between variables—laying the groundwork for deeper analysis and modeling.
I built an Automatic File Sorter in Python that watches a folder and instantly organizes files into neat, categorized folders based on type—no more messy desktops or Downloads chaos. It runs quietly in the background, keeping everything sorted without me lifting a finger.
I created a simple Python-based BMI Calculator that takes a user’s height and weight, calculates their Body Mass Index, and provides personalized feedback on their health category. It’s a quick, interactive tool that makes understanding BMI easy and accessible.