Abdul Rehman
AI/ML & Data Specialist | Python, Analytics & Cloud
New to Contra
Abdul is ready for their next project!
Analyzed e-commerce sales data to identify revenue, profitability, product, category, and regional performance patterns. The project includes data cleaning, exploratory data analysis, KPI analysis, trend identification, and interactive visualizations to support data-driven business decisions. Built the analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn, with a focus on translating raw sales data into actionable business insights.
0
14
Built an AI-powered agronomy advisor that uses Retrieval-Augmented Generation (RAG) to provide context-aware agricultural guidance. The application combines document retrieval with Gemini to generate relevant responses, using ChromaDB for vector search and TF-IDF for text-based retrieval. Developed a Streamlit interface to make the system accessible through an interactive web application.
0
31
Built a machine learning web application for classifying text into three sentiment categories: positive, neutral, and negative. The project covers text preprocessing, feature extraction, model training, evaluation, and interactive prediction through a Streamlit interface. Developed with Python, Pandas, Scikit-learn, and Streamlit, with the trained model integrated for real-time sentiment prediction.
0
35
Built a machine learning web app that predicts customer churn risk from customer, service, contract, and billing data. The project includes data preprocessing, model training, evaluation, and a Streamlit interface for interactive predictions. Developed with Python, Pandas, NumPy, Scikit-learn, Joblib, and Streamlit.
0
30