POOJA RAI

Entry Level Data scientist with deep understanding of Statistical techniques and building/testing Machine learning (ML) models in supervised and unsupervised algorithms. Looking to improve my knowledge in Artificial intelligence and Deep Learning.

Airline Price Prediction

• Primary goal : Predict the price of flights by providing basic details like source, destination, date of arrival, departure, etc
• Solution :Handled complex and multidimensional data-set from Kaggle, performed data cleansing, transformation feature engineering
• Performed Model training and
• Validation
• Preditive analysis using Random Forest regression

Breast Cancer Detection

• Primary goal : To predict whether a person has presence of breast cancer based on physical features of cell nucleus
• Solution : Handled complex and multidimensional data-set from Kaggle, performed data cleansing, transformation feature engineering
• Performed Model training and
• Validation
• Used Logistic regression for prediction
• Used hyperparameter tuning to improve the accuracy from 91% to 94%

Movie Recommendor System using NLP

• Primary goal : To recommend movies based on content
• Solution : Handled complex and multidimensional data-set from Kaggle, performed data cleansing, transformation feature engineering on text data and converted into vectorizer (using CountVectorizer)
• Used Cosine similarity to suggest 10 movies based on similarities

ATM System using Python

• Designed an ATM system using Python with Balance enquiry, withdrawal, Mini Statement and change pin functionalities

Python for Data Science and Artificial intelligence (AI)