Jiban C.

Jiban C. is a proficient developer specializing in Python with an emphasis on Data Science and Machine Learning. His expertise is showcased through various projects, such as the Telecom Customer Churn Prediction System, where he engineered a predictive application using Streamlit and Python. This project involved creating a comprehensive EDA module for visualizing churn rates and developing over five actionable strategies for retention. Additionally, Jiban worked on a Smart Agriculture Advisor, designing a recommendation engine using Random Forest to suggest optimal crops, and constructing a FastAPI backend for low-latency predictions. He has also built a Movie Recommendation System utilizing Content-Based Filtering and Cosine Similarity for enhanced user recommendations. Jiban's skill set encompasses advanced proficiency in Python, SQL, Scikit-Learn, TensorFlow, FastAPI, and Streamlit, supplemented by backend and deployment experience. He holds a Red Hat Certification and studied at the Broadway Infosys Pvt. Ltd., focusing on developing scalable data science solutions.