Summary
Overview
Work History
Education
Skills
Online Courses
Projects
Work Availability
Timeline
AccountManager
Arnab Manna

Arnab Manna

Student
Kolkata

Summary

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.

Overview

4
4
years of post-secondary education

Work History

Data Science Intern at Innomatics Research Lab

Student
Hyderabad
2022.05 - Current
  • Translated cost and benefits of machine learning technology for non-technical audiences.
  • Created data visualization graphics, translating complex data sets into comprehensive visual representations.
  • Performed advanced data extraction and data manipulation.
  • Used rapid application development tactics during programming phases.

Education

Bachelor of Science - Statistics

Haldia Govt College
Haldia, West Bengal
2018.03 - 2021.03

Master of Science - Statistics

Pondicherry University
Puducherry,Kalapet,605014
2021.04 - Current

Skills

    Data analytics

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Online Courses

  • 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

Projects

  • 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

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Data Science Intern at Innomatics Research Lab

Student
2022.05 - Current

Master of Science - Statistics

Pondicherry University
2021.04 - Current

Bachelor of Science - Statistics

Haldia Govt College
2018.03 - 2021.03
Arnab MannaStudent