LD Talent logo
LD Talent
  • Pricing and Free Trial
  • About Us
  • Contact
  • Blog
Find Talent Apply as a Talent Login to LD Slack
Apply as a Developer
To join LD Talent, please send your resumé (PDF or DOC only) to info@learningdollars.com.
After you join LD Talent Network
You will start accepting contract and/or full-time job opportunities in the LD Talent slack. (more info)
While you are not assigned to a contract or hired for a full-time opportunity, you can choose to learn online and do paid passion projects to grow your skills. You will get paid $40 per skill you learn and project you do. Doing these passion projects will also help you get more and better matches. (more info)
Register as a Client to Invite an Engineer

It's Free. No Credit Card Required.
Our AI will send you best-fit matches.
Invite to Chat / Interview
Pankaj P - Python developerLD Talent logo

Pankaj P

Software Engineer Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 0h PST, 26h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
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, 1Y)

    2 experiences, 1 year
  • Machine learning (2E, 1Y)

    2 experiences, 1 year
  • SQLite (1E, < 1Y)

    1 experience, less than a year
  • Numpy (1E, < 1Y)

    1 experience, less than a year
  • Jupyter (2E, < 1Y)

    2 experiences, less than a year
  • Deep learning (2E, < 1Y)

    2 experiences, less than a year
  • keras (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap 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
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
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
LD Talent footer logo
About Us
  • For VCs and Incubators
  • Slack Organization
  • Angelist
  • Crunchbase
  • Medium
  • Youtube
  • Product Hunt
  • Diversity Statement
Hire
  • Full Stack Developers
  • Frontend Developers
  • Backend Developers
  • Mobile Developers
  • Machine Learning Experts
  • Deep Learning Experts
  • Blockchain Experts
  • VR / AR Experts
  • Unity Game Developers
  • Wordpress Developers
Platform
  • UI / UX Designers
  • All Categories
  • Popular Searches
  • Popular Skills
  • Talent Supply
FAQ
  • Client FAQ
  • Talent FAQ
  • HR Guide for Talent
  • Github + Blog Projects
© Copyright LD Talent. All Rights Reserved.
  • Site TOS
  • Client TOS
  • Talent TOS
  • Privacy Policy