Arnab Manna

Hi , Myself Arnab. I am pursuing Msc statistics from Pondicherry University. I am looking for jobs in the data science domain to utilize my skills and knowledge. I am very much enthusiastic to work with data science related application. I am hardworking and as well as very much enthusiastic to learn new data science related concepts.

• Mega Community Live by Ineuron.ai
• Deep Learning Community Class by ineuron.ai
• Full stack data science bootcamp course by ineuron.ai*
• Machine Learning by Andrew ng from Coursera
• Python for Data Science and Machine Learning Bootcamp from Udemy

• Name : Airline Passenger Satisfaction Prediction

Description : In this end to end project, I predicted the airline passengers are satisfied or not based on some independent variables. This is a classification problem. I used some machine learning models for prediction purpose. After applying these, we get best accuracy in xgboost algorithm. I also deployed this project in web server using streamlit library.

Model used : Logistic , K nearest neighbour , Xgboost , Support Vector Machine , Random Forest

• Name: Movies Rating Prediction Using Frequentist and Bayesian Approach Description

Description : Here I used two models of Multiple linear regression and Bayesian linear regression using R to predict the movies Rating which is extracted from IMDb and Rotten tomatoes website. After applying both I compare both of the models which will give me a better prediction.

Model used : Bayesian and multiple linear regression model

• Name: Percolation Theory and Its Application

Description: Percolation is a process of fluid flow through a porous medium. In this project my aim is to find the percolation threshold using Monte Carlo simulation in R. I am trying to use it in propagation of fire in a forest and also in another real-life scenario.

Method Used : Monte Carlo Simulation study