Pavan Reddy G
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$19.00 /hr $ 28.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 24h PST, 35h UTC
- Earned Hours 7.50
- Desktop Mac
- Phone Android
- Tablet iPad
- Member Since Feb 26, 2019
- Profile Last Updated Jan 29, 2023
- Last Activity Feb. 26, 2023, 1:55 a.m. UTC
- Location India
Profile Summary
As a versatile software engineer with experience in building scalable web applications, I have demonstrated a proven ability to deliver high-impact results in fast-moving startups and building 0 -> 1 products. Skilled in React.js, Javascript, Ruby, Spring Boot, Java, HTML, Github, and CSS, I am well-versed in modern web development technologies.
Skills
Total Experience: 3+ years
Java (2E, 4Y)
2 experiences, across 4 yearsMachine learning (4E, 2Y, 2C)
4 experiences, across 2 years, with 2 coursesReact (2E, 2Y)
2 experiences, across 2 yearsSpring
Redux
Continuous Integration
Python (2E)
2 experiencesJavaScript (2E, 2Y)
2 experiences, across 2 yearsData Analytics (1C)
1 courseArtificial intelligence (2C)
2 courses
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 24h PST, 35h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
03 - 15
14 - 18
14 - 18
14 - 18
14 - 18
14 - 18
03 - 12
PST
20 - 08
07 - 11
07 - 11
07 - 11
07 - 11
07 - 11
20 - 05
Experience
Full Stack Developer
Internship
Jan 2019 - Jul 2019
ZeMoSo Technologies Company
Technology Industry
Project: Org - Goal tracker
- Created a prototype for managing OKRs (Objectives, Keys, Responsibilities) of the organization with end to end integration for tracking goals of individual teams and corresponding goals.
- Added the continuous integration flow for the MicroServices with Kubernetes and Docker.
- Technical Stack: Java, Spring, React, Redux, CSS, Typescript, Javascript, Docker, Kubernetes, Docker
Developer
Internship
May 2018 - Jul 2018
My Money Mantra Company
Finance Industry
Project: Predictive analytics
- Collaborated with the analytics team remotely to work on medium-sized financial data sets (ranging up to 1 GB).
- Used Regression and other Machine Learning models for predictive analytics.
Developer
Internship
May 2018 - Jul 2018
Indian Institute Of Technology, Bhilai Company
Technology Industry
Project: Cryptanalysis
- Worked on Cryptanalysis on a Post-Quantum Cryptographic algorithm.
- Designed an algorithm to perform a theoretical attack on the Compact LWE scheme which will be able to successfully recover the message from the cipher-text without the secret-key in Java.
Student
Course Project
Mar 2018 - May 2018
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Seedling Species Classification
- A Classification algorithm was built to classify species of the plant-based on the images of seedlings at different states. The physical resolution of the RGB image dataset was around 10 pixels per mm
- Technical Stack: Machine Learning, Python
Developer
Passion Project
Jan 2018 - Feb 2018
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Forest Fire Prediction
- In this project, a neural network was trained, with custom layers in the hidden network.
- The final output layer is integrated with the mailer API to notify/warn users in case of any instance of fire found in the stream of live Images.
- Technical Stack: Python, Machine Learning
Student
Course Project
Jun 2017 - Aug 2017
Sreenidhi Istitute of Science and Technology Company
Technology Industry
Project: Book Recommendation Engine
- A recommendation engine that asks the user to rate the books he read.
- It then predicts the expected ratings for remaining books which user might give in future and shows recommendations based on KNN similarity score.
- Technical stack: JavaScript, Machine Learning
Developer
Passion Project
May 2016 - Jun 2016
Personal Project Company
Technology Industry
Project: TacNews -website to integrate news from different sources
- In this project, the problem of a user navigating to multiple different sources for different news articles is solved by integrating them on to one website by using the News API.
- Used multiple free News Providers API's and integrated them on the UI.
- Technical Stack: JavaScript, React
Qualifications
Education
Sreenidhi Institute of Science and Technology(JNTU)
Aug 2015 - May 2019
Bachelor of Technology in Computer Science (Computer Science)
Courses
Reviews
Client Project Reviews
LD Talent
did solid work
Interview Reviews
Blossom
Good and responsive in the interview.