Churn Prediction
This project focuses on predicting customer churn utilizing machine learning using their past behavior. Additionally, the project includes the development of a RESTful API.
Portfolio
Credit Scoring
Developed a credit scoring model for Company ‘X’ to assess customer’s creditworthiness based on data from past borrowers. The aim was to help the company meet their target loan approval rate and default rate
App review scraping ETL (Sentiment Analysis)
This project employs Airflow and KubernetesPodOperator to orchestrate a seamless pipeline for scraping user reviews from app store, conducting sentiment analysis.
Restaurant Recommendation
This project helps people in Nashville find great restaurants easily. We use a hybrid method to make personalized recommendations for users, collaborative filtering and content-based filtering. I also handle cold start.
OCR Text Extraction From Student Card
Developed an OCR system for Dawnvale Academy of Medicine student cards. It detects card corners, adjusts orientation if needed, and extracts name, member ID, address, phone number, district. Utilizes similarity measures against a district master dataset for accuracy.
House Price Prediction (Kubeflow)
This project solely focuses on leveraging Kubeflow Pipelines for house price prediction, from organizing data, training model to saving it to GCS. Then it continues with deployment on kubernetes without getting into the details of methodology of building models.
