- University of London's 3rd year Data Science and Business Analytics student.
- Currently working as a Logistics Analytics Engineering Intern in foodpanda.
- President of the Data Analytics Club
- Full time bug creator and data validator
- Data Analysis: Pandas, Numpy and SQL
- Data Science Machine Learning and GenAI
- Data Visualisation: Tableau, PowerBI and Looker Studio
- Data Engineering: Apache Airflow, Dockers and Database Management
john_dict = {
"code": ["Python", "SQL", "HTML", "CSS"]
"tools": ["Tableau", "PowerBI", "dbt", "GitHub"]
"databases": ["MySql", "PostgreSQL", "RedShift", "BigQuery"]
"hobbies": Error 404 😭
}- AI Web Scraper: An AI-powered web scraper that lets users extract and query information from any website by providing a URL. The app scrapes the site, retrieves its DOM content, and allows for targeted queries via AI. Built with tools like Selenium, BeautifulSoup, LangChain, and Streamlit, it offers a user-friendly UI and showcases the potential of combining web scraping with AI for interactive data extraction. Try the live demo on Streamlit!
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Lead contributor at SIM DAC - This open-source curriculum, DACademy, was developed under my leadership as the president of the club, to serve as a comprehensive resource for SIM students interested in data analytics. Designed to be beginner-friendly, DACademy covers fundamental skills such as Python, machine learning and SQL, empowering students to build a solid foundation in data analysis. In addition to leading the curriculum’s creation, I have taught key topics, helping students apply these skills through real-world projects and interactive sessions.
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Lead contributor at SIM DSA, the advanced data science curriculum at SIM, was developed under my leadership to address the needs of students interested in deeper data science topics like deep learning, data engineering and generative AI. This curriculum provides hands-on projects and resources that allow students to master advanced concepts. I have also taught various topics within this curriculum, helping students engage with cutting-edge data science techniques and gain practical experience.
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