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Niranjan S - Python developerLD Talent logo

Niranjan S

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.
Software Engineer Preferred Title
$50.00 /hr $ 70.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.3
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 22h PST, 40h UTC
Interview Scores (3.5/5)
  • Software Engineering Process 4.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 4.0/5
  • Logical Thinking 4.0/5
  • Technical Strength 4.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 4.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 4.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Linux
  • Phone Android
  • Tablet Android Tablet
General
  • Member Since Dec 08, 2020
  • Profile Last Updated Nov 24, 2020
  • Last Activity Jan. 4, 2022, 3:13 p.m. UTC
  • Location India
Profile Summary
Excellent work experience in Python, Django, Algorithms and Data Structures. A regular contributor to open source community. A mentor who successfully motivated a group of young developers into getting highest accolades for their recent endeavors.
Skills
Total Experience: 5+ years
  • Python (3E, 5Y)

    3 experiences, across 5 years
  • JavaScript (3Y)

    3 years of experience
  • Data Analytics (3Y)

    3 years of experience
  • keras

  • Tensorflow

  • PyTorch

Weekly Availability
Timezone Overlap with 06 - 21 per Week: 22h PST, 40h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
00 - 01
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
00 - 01
PST
17 - 18
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
17 - 18
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • Documentation
Experience
Project Engineer
Employment
Aug 2018 - Sep 2020
IIIT Hyderabad Company
Research Industry
Project: Virtual Labs
  • JavaScript
  • Data Analytics
  • Python
  • Responsible to develop an algorithm for Virtual Lab experiments which can give feedback to each individual user based on the performance and suggest similar experiments.
  • Used an Experiment-based Collaborative Filtering algorithm to provide level based exercises based on the real-time number of users who did that particular exercise and suggest further experiments.
  • Needed to use python, javascript and data analytics to do the above.
Software Engineer
Internship
Jan 2018 - Jul 2018
CYIENT Company
Research Industry
Project: LiDAR data processing using Python
  • Python
  • keras
  • Tensorflow
  • PyTorch
  • Responsible for designing and developing a tool which can process LiDAR data which includes segmentation, selection of ROI and visualization tools for various LiDAR file formats.
  • Using Keras and PyTorch algorithms, detection of objects has been made automatic.
  • Used Tensorflow to see how the model performs. (Python, Keras and PyTorch)
Github Links
  • https://github.com/niranjanreddy891/Object-Detection-using-LiDAR
Software Developer
Employment
Jul 2015 - Jun 2016
Oristep IT consulting pvt ltd Company
Healthcare Industry
Project: Hospital Management
  • Python
  • Responsible for developing a script which can capture the incoming data from different modules which include Doctors, Patients, Staff and visitors and suggest suitable models to overcome difficulties
  • Generating graphs based on decision tree and networking algorithms which will help the doctor to provide treatment at the appropriate time.
  • Used Python, Data structures and Algorithms to do all the above.
Qualifications
Education
NIIT University
Aug 2016 - Aug 2018
M.Tech (Geographic Information Systems)
Srinivasa Ramanujan Institute of Technology
Sep 2011 - Jun 2015
B.Tech (Electronics and Communication Engineering)
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