Joined LeapX.ai as Data Science Intern from 27 June, 2024 for 3 months.
LeapX Projects
Project done while working with LeapX as Data Science Intern.
Properties Scraper
Project scrapes data from Housing.com website and dump into MongoDB after basic transformation using Polars, I’ve used Scrapy to scrape data. Wrote a python script which automate the process of scraping multiple city in one go.
Housing Dashboard
A dashboard which shows affluent areas of a city after applying clustering on the real estate data of the city.
- Uses Taipy framework to create dashboard.
- Fetch properties data from MongoDB.
- Perform clustering and plot circles on map of selected city with its affluence rank and other metrics.
- Deployed on Hugging Face Spaces.
:llama: Ad Campaign Bot
A Facebook Ads Campaign Bot powered by OpenAI LLMs where users can query their campaign related questions.
- Bot is flexible enough to answer user’s query on multiple camping data format such as daily or hourly campaign data.
- Bot can also display graphs/plots related to each query (with some limitations).
Campaign Dashboard
Streamlit dashboard to show insights around Facebook Ads Campaign using Data Analysis and charts using campaign metrics like CTL, CPM, CPC, CTR and more.
- Refactored code given by @Aditya.
- Deployed on Hugging Face Spaces.
After LeapX
After working for 3 months with LeapX, there are some points I’ve want to discuss:
- Just discontinue the internship and start focusing on personal projects and further learning and try to gather in-depth knowledge around Deep Learning concepts and more.
- Continue the internship and start learning deep learning from CampusX side-by-side which will be a win-win situation best utilization of the time.