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Pankaj P - Python developerLD Talent logo

Pankaj P

Software Engineer Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 0h PST, 26h UTC
Talent's Devices
  • Desktop Windows
  • Phone Android
  • Tablet Android Tablet
General
  • Profile Last Updated Aug 10, 2020
  • Last Activity July 6, 2022, 5:57 a.m. UTC
  • Location India
  • Current Status Student
Profile Summary
I am ambitious and driven. I am always looking to expand my knowledge and grasp any opportunity to learn something new. I love what I do and hence I have a steady source of motivation that drives me to do my best.
Skills
Total Experience: 2 years
  • Python (2E, 2Y)

    2 experiences, across 2 years
  • Machine learning (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course
  • SQLite

  • Numpy (1C)

    1 course
  • Jupyter (2E, 2Y)

    2 experiences, across 2 years
  • Deep learning (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course
  • keras

  • Plotly (1C)

    1 course
  • Pandas (1C)

    1 course
  • Matplotlib (1C)

    1 course
  • Google NLP API (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 0h PST, 26h UTC
Day
Sunday
Monday
Tuesday
Thursday
Friday
Saturday
UTC
05 - 11
05 - 10
05 - 10
05 - 10
05 - 10
05 - 11
PST
22 - 04
22 - 03
22 - 03
22 - 03
22 - 03
22 - 04
Experience
Software Developer
Course Project
Dec 2019 - May 2020
Vellore Institute of Technology Company
Technology Industry
Project: Test Classification and Summarization With Amazon Review
  • Deep learning
  • Jupyter
  • Machine learning
  • The procedure adapted was to firstly clean the reviews (remove stop words, expressions) using functions built into the NLTK library, which perform tokenization and vectorization.
  • Subsequently I prepared the neural network model and fit the data. Lastly I performed the training and evaluation. Naïve Bayes and Linear SVM were utilized for text classification purposes.
  • The code was executed on jupyter notebook. Deep learning neural networks along with Machine learnings were conducive to the project
Github Links
  • https://github.com/PankajPandey309/Text-summarization-and-Sentiment-Analysis-on-Amzon-Review
Software Developer
Passion Project
Jan 2020 - Mar 2020
Vellore Institute of Technology Company
Technology Industry
Project: Image super resolution using Autoencoders
  • Deep learning
  • Jupyter
  • keras
  • An auto encode in essence is a network wherein the original input is first encoded, subsequently the compressed representation is then put through a decoder to get the reconstructed input.
  • The encoder and decoder consisted of 5 layers each, in order to achieve the transformation from low resolution to high resolution using deep learning models.
  • The code was executed on Jupyter notebook, and the neural networks were constructed using keras and tensorflow.
Github Links
  • https://github.com/PankajPandey309/Image-Super-Resolution-Using-Autoencoders-in-Keras
Software Developer
Course Project
Jul 2019 - Dec 2019
Vellore Institute of Technology Company
Technology Industry
Project: Irregular Human Activity Behaviour
  • Python
  • Machine learning
  • I trained a movement Impact Map on a training dataset which consisted for videos where no irregularities were observed.
  • The purpose of a Movement Impact Map is to predict the future behavior of people based the data provided. During testing, the machine learning model predicted the future movement of the people.
  • If there was any discursion from the predicted movement, it flagged the activity as irregular. The machine learning model was trained .
  • The code was written in python.
Github Links
  • https://github.com/PankajPandey309/Unusual-Behaviour-Detection
Software Developer
Passion Project
Jul 2018 - Dec 2018
Vellore Institute of Technology Company
Technology Industry
Project: Virtual Museum
  • Python
  • SQLite
  • Numpy
  • In order to build this digital museum, the application design and user interfaces were built using tkinter library of python.
  • For the backend I used SQLite to store the images and video files(if necessary).
  • The images were converted to a numerical representation in order to ease the process of storage (the conversion was achieved using numpy library).
Github Links
  • https://github.com/PankajPandey309/VirtualMuseum
Qualifications
Education
Vellore Institute of Technology
Jul 2017 - Jul 2021
B. Tech (Computer Science)
Courses
Applied Machine Learning in Python
Mar 2020 - May 2020
Coursera-University of Michigan
  • Plotly
  • Numpy
  • Pandas
  • Matplotlib
  • Machine learning
Applied Text Mining in Python
Apr 2020 - Jun 2020
Coursera-University of Michigan
  • Google NLP API
  • Deep learning
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