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The client has provided you with history of last 10 challenges the user has solved, and you need to predict which might be the next 3 challenges the user might be interested to solve. Apply your data science skills to help the client make a big mark in their user engagements/revenue.
A comprehensive machine learning project for detecting fraudulent job postings, leveraging NLP (TF-IDF) and a LinearSVC classifier to enhance online job platform security.
Using Python in Jupyter Notebook to recreate queries for imaginary stakeholders. Demonstrates connecting to MySQL, exporting tables to Excel, merging data, cleaning datasets, and counting orders. Visualizations include bar plots, revenue plots, pie charts, scatter charts, and map manipulation with geopandas. Dataset from MySQL.
🚀 Natural Language to SQL AI Tool This project enables organizations to query internal structured databases using plain English — no SQL required. It uses Natural-SQL-7B, LangChain, FAISS, and RAG to convert natural language into accurate, schema-aware SQL queries.