Websites
Summary
Education
Projects
Skills
Languages
Certification
Accomplishments
Interests
Hi, I’m

Ankit

Data science Enthusiast
New Delhi,Delhi
Ankit

Summary

Recent Post-graduate in Industrial Engineering from IIT Kharagpur with expertise in data science, data analysis, machine learning, data visualization, and Python programming. Skilled in data cleaning, preprocessing, and modeling with a strong problem-solving aptitude.

Education

IIT Kharagpur
Kharagpur

M.TECH from INDUSTRIAL ENGINEERING AND MANAGEMENT
05.2023

University Overview

GPA: 7.79 / 10

  • Receiving GATE Scholarship
  • Assessment of the effectiveness of video based training - Research Project

AMITY SCHOOL OF ENGINEERING
Lucknow

B.TECH from Civil Engineering
05.2017

University Overview

GPA: 7.22 / 10

Projects

Understanding the effectiveness of Video based training -

  • Tools Used: 15'' Monitor, 15 Participants, Stopwatch, Python, Excel,
  • The analysis of a situation involves several stages. The first stage is the perception of the environment through our senses. After perceiving the environment, we process the data we have received. Then, we project a future state based on our analysis.
  • In addition, two experiments have been performed on various age groups and genders. After collecting the data, three video clips were shown. Finally, the indexing was performed using the entropy method of Z numbers.

Using lending data predicting whether or not the borrower paid back their loan -

  • Tools Used: Python, Numpy, Pandas, EDA, Machine learning, Jupyter notebook
  • Problem: Lending Club aims to connect borrowers who need money with investors who have money. Investors are interested in investing in borrowers who have a high probability of paying them back.
  • Solution: A Random Forest model has been created to predict whether a borrower will return the money or not. The model has a precision of 81%, which means that 81% of the predicted positive cases are actually positive, and a recall of 85%, which means that 85% of actual positive cases are predicted as positive by the model.

Recommender system with python using movie lens data set -

  • Tools Used: Python, Numpy, Pandas, EDA, Jupyter notebook
  • Develop basic Movies recommendation systems using Python and pandas. It just tells what movies are most similar to your movie choice.
  • Providing a basic recommendation system by suggesting Movies that are most similar to a particular movies, used corrwith() method to get correlations between two pandas series.

Skills

  • Python
  • SQL
  • Machine Learning
  • Tableau
  • MS Office
  • Data Science
  • Data Analysis
  • Problem-Solving
  • Matlab
  • Cplex

Languages

Hindi
Bilingual or Proficient (C2)
English
Advanced (C1)
German
Beginner (A1)

Certification

  • Automate the Boring Stuff with Python Programming ,
    Udemy - [05/2022-07/2022]
  • Python for Data Science and Machine Learning Bootcamp ,
    Udemy - [05/2022-08/2022]
  • English and Communication Skills ,
    Amity School of languages - [08/2013-05/2017]

Accomplishments

GATE Qualifications:

  • GATE 2019 CE - Qualified
  • GATE 2021 CE - Qualified
  • GATE 2022 PE - Qualified

Interests

Playing Cricket

Listening Music

Cycling

Ankit Data science Enthusiast