Bhargav N
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.
Backend Developer Preferred Title
$15.00 /hr $ 2.0K /yr Hourly Rate and Yearly Salary
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 50h PST, 44h UTC
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 2.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- English Communication 3.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since Feb 14, 2023
- Profile Last Updated Jan 11, 2023
- Last Activity Aug. 20, 2023, 2:31 a.m. UTC
- Location India
Profile Summary
A motivated individual with in-depth knowledge of various languages and development tools, seeking a position in a growth-oriented company where I can use my skills to the advantage of the company while having the scope to develop my own skills.
Skills
Total Experience: 2+ years
Python (4E, 3Y)
4 experiences, across 3 yearsData Analytics (3E, 3Y)
3 experiences, across 3 yearsPandas (3E, 3Y)
3 experiences, across 3 yearsDeep learning (2E, 3Y, 1C)
2 experiences, across 3 years, with 1 courseTensorflow (2Y)
2 years of experienceComputer vision (2Y, 1C)
2 years of experience, with 1 courseMachine learning (2Y, 2C)
2 years of experience, with 2 coursesDjango (2E)
2 experiencesWeb scrapers
Git
AWS S3
SQL (2E)
2 experiencesSnowflake
DevOps
Data visualization (1C)
1 courseNumpy
Probabilistic graphical models (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 50h PST, 44h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
14 - 16
14 - 22
14 - 22
14 - 22
14 - 22
14 - 22
14 - 22
PST
07 - 09
07 - 15
07 - 15
07 - 15
07 - 15
07 - 15
07 - 15
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
- English Communication
- Documentation
- Code Quality
- Controllers
- Templates
- APIs
- Training/Testing Data Models
- Expert Qualities
- System Administration
Experience
Data Engineer
Employment
Nov 2022 - Dec 2022
Techvariable Company
Technology Industry
Project: Created automated data pipelines using Snowflakes (Snowpipe) from AWS S3
- Created automated data pipelines using Snowflakes from AWS S3 where data are staged through a pipeline. I performed cleaning and analyzing of the data using SQL.
- Performed DevOps role when configuring AWS S3 to Snowflake. Built automated pipelines using Snowpipe.
Web Developer
Passion Project
Dec 2022 - Dec 2022
Open Source Company
Project: Role based e-commerce websites integrated with data analysis APIs
- I implemented Role Based models for Buyers and Sellers using Python and Django Rest Framework. Django Token Authentication and Custom Permission management were done.
- Created custom and efficient APIs. Performed Query optimization in Django and SQL.
Web Developer
Employment
Aug 2022 - Nov 2022
Techvariable Company
Technology Industry
Project: Automation of LinkedIn Sales Navigator and providing data analysis API
- With Python and FastAPI, I created back-end APIs. Also, I created APIs using Django for dashboard analysis and moved the whole project to Django as my projects got complex and extensive.
- I scraped with Web scrapers and also used LinkedIn API for data collection. Performed Data Analytics with Python and Pandas and provided data to the dashboard API endpoints.
- I used cronjob to automate connection requests for multiple users. I integrated third-party API and Slack API for notification. I built CI/CD pipeline for Continuous deployment with the help of Git.
AI Engineer
Employment
Dec 2021 - Jul 2022
Techsavvy Software Security Consultancy Company
Government Industry
Project: Social Media Sentiment Analysis on Indic languages
- I extracted data from images using Computer Vision, which includes English and other regional languages. I also used a Scraper to scrape comments over a post.
- I performed Data Analytics after cleaning data using hybrid machine learning and deep learning model. I measured sentiment on that data and plotted it on the dashboard.
- My model was built using Python and Tensorflow. Data analysis was done using Pandas. I improved my model accuracy from 75% to 89% by tuning hybrid models using attention-based and rule-based models.
ML/ Data Analysis Expert
Passion Project
Nov 2020 - Nov 2020
Open Source Company
Ecommerce Industry
Project: Customer-Market-Segmentation
- Performed Data Analytics using Pandas and Numpy. Analyzed the behavior of customers.
- Performed different Unsupervised Algorithms for Clustering data. Data visualization was done using PCA and Histogram Analysis.
Student
Course Project
Aug 2020 - Aug 2020
Open Source Company
Education Industry
Project: Generated Synthetic Images with DCGAN in Keras
- I used Deep Learning techniques and Python to generate fake data similar to the input. The model learns the transition of features from one data point to another.
- I used Generative Adversarial Network in my projects. It is utilized to transform one data point to another similar data point.
Qualifications
Education
Central Institute of Technology, Kokrajhar
Aug 2016 - Aug 2020
B.Tech (Electronics and Communication Engineering)
Courses
MIT micromaster programs
MIT micromaster programs