Pankaj P
Software Engineer Preferred Title
$20.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
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
- 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
- Desktop Windows
- Phone Android
- Tablet Android Tablet
- 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 yearMachine learning (2E, 1Y)
2 experiences, 1 yearSQLite (1E, < 1Y)
1 experience, less than a yearNumpy (1E, < 1Y)
1 experience, less than a yearJupyter (2E, < 1Y)
2 experiences, less than a yearDeep learning (2E, < 1Y)
2 experiences, less than a yearkeras (1E, < 1Y)
1 experience, less than a year
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
21 - 03
21 - 02
21 - 02
21 - 02
21 - 02
21 - 03
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
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
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.
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.
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).
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