Data Science Intern
- In this internship, I have worked on building a project called Job Job Recommendation System for semi-skilled people based on their skills and employers requirements. We employed the FuzzyWuzzy Python library to get a simple and robust system based on user inputs. And also, I made many insightful reports in Tableau, which enhanced the prospect of our final goal.
DATA SCIENCE PROJECTS
- Multi-Class classification for Predicting the clinical risk factors for diabetes disease using ML techniques : - By using SMOTE sampling technique we balanced the biased data set and then extracted critical features using ANOVA test and then built a pipeline for multi-class classification model using various ML algorithms to get the best ML model which gave us the high AUC 0.9421 with LIGHTGBM classifier to get critical factors.
- Identification of heritage monuments in India using a CNN deep learning techniques: - In this project I have collected the monuments images in India and made my own data set for my image classification model and have done the data augmentation for the data set and build a deep learning model using DCNN using different layers and parameters which gave me with final model after hyperparameter tuing got a accuracy of 0.892.