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Krishna V - Python developerLD Talent logo

Krishna V

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.
Machine Learning Engineer Preferred Title
$43.75 /hr $ 90.0K /yr Hourly Rate and Yearly Salary
Overview Experiences LD Experiences Qualifications Reviews
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 9.0 hours
  • Average Count of Messages/Day 1.0
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 28h PST, 70h UTC
  • Earned Hours 27.50
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Dec 30, 2019
  • Profile Last Updated Sep 30, 2021
  • Last Activity Jan. 30, 2024, 11:31 p.m. UTC
  • Location India
Profile Summary
Krishna is a machine learning engineer who is curious and passionate about applied deep learning in computer vision, NLP, and reinforcement learning. He has four years of experience with machine learning, including having been a part of the analytics division of JP Morgan Chase & Co. He is a great communicator and enthusiastic developer.
Skills
Total Experience: 8+ years
  • Python (5E, 8Y, 2C)

    5 experiences, across 8 years, with 2 courses
  • Tableau (3E, 8Y)

    3 experiences, across 8 years
  • Natural language processing (2E, 5Y, 1C)

    2 experiences, across 5 years, with 1 course
  • Google Cloud (2E, 5Y)

    2 experiences, across 5 years
  • AWS (5Y)

    5 years of experience
  • AWS Lambda (5Y)

    5 years of experience
  • R for Statistics (3E, 3Y, 5C)

    3 experiences, across 3 years, with 5 courses
  • Microsoft Excel (2E, 3Y)

    2 experiences, across 3 years
  • SQL (2Y, 1C)

    2 years of experience, with 1 course
  • Python Selenium (2Y)

    2 years of experience
  • keras (2E, 2Y)

    2 experiences, across 2 years
  • Deep learning (2E, 2Y)

    2 experiences, across 2 years
  • Machine learning (2E, 2Y, 1C)

    2 experiences, across 2 years, with 1 course
  • Tensorflow

  • PyTorch

  • MySQL (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 28h PST, 70h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
07 - 17
07 - 17
07 - 17
07 - 17
07 - 17
07 - 17
07 - 17
PST
00 - 10
00 - 10
00 - 10
00 - 10
00 - 10
00 - 10
00 - 10
Experience
Data Scientist
Employment
Apr 2020 - Present
Organifi Company
Ecommerce Industry
Project: Consumer & Marketing Analytics in Ecommerce
  • Tableau
  • Natural language processing
  • Python
  • Google Cloud
  • AWS
  • AWS Lambda
  • Developed and deployed a Natural Language Processing pipeline to extract and summarize opinions, feedback from customer product reviews in Google Cloud using Python
  • Built data pipelines in AWS(AWS Lambda) and GCP(Google Cloud Functions) for a reporting and analytics data warehouse.
  • Built numerous executive summary dashboards in Tableau by identifying key metrics to track goals specific to individual teams.
Data Scientist
Passion Project
Dec 2019 - Jan 2020
Self Company
Finance Industry
Project: Self Service Banking application uilt in R Shiny
  • R for Statistics
  • This is a sample app/web-tool that can be used by commercial banks for easy on-boarding of their customers built in R Shiny( Shiny package in R for Statistics)
  • Built custom navigation & logic for showing only the relevant UI.
Github Links
  • https://github.com/krishnasaiv/Open-Bank-Account-Online
Analyst
Employment
May 2019 - Dec 2019
JP Morgan Chase & Co Company
Finance Industry
Project: Merchant Onboarding for Credit Cards
  • R for Statistics
  • Designed and built a next-generation merchant acquisition tool in R for Statistics & by using the Shiny library for credit card business
  • Provided pricing analysis of credit card business
  • Built and integrated a minimum revenue model based on customer demographics.
Business Analyst
Employment
Jun 2018 - May 2019
Tredence Analytics Company
Technology Industry
Project: Rretail Analytics for Walmart
  • Tableau
  • R for Statistics
  • Python
  • Microsoft Excel
  • SQL
  • Segmented retail customers based on their shopping behavior by using Random Forest in Python
  • Designed, built, and deployed end-to-end machine learning pipeline that pulls data from SQL database periodically, trains, tests & deploys an ML model to GCP cloud & also updates the Tableau dashboard.
  • Performed marketing analysis of a leading retail company in the US, build multiple dashboards using R for Statistics, Tableau & useful insight documents in Microsoft Excel
Sr. Software Engineer
Employment
Dec 2017 - Jul 2018
Capgemini Company
Technology Industry
Project: Data Revamp
  • Tableau
  • Python
  • Microsoft Excel
  • Python Selenium
  • Scraped the web for collecting unstructured data present on a website using Python & Python Selenium
  • Created and deployed various executive summary dashboards using Microsoft Excel & Tableau
  • Automated data cleaning pipelines.
Student
Passion Project
May 2017 - Jul 2017
IIT Gandhinagar Company
Research Industry
Project: Semantic scene segmentation with Multimodal Full CNN
  • Deep learning
  • Machine learning
  • Python
  • keras
  • Fully convolutional network (FCN-32s) trained( in Python using Keras) to semantically segment forest scene images with RGB and nir_color input images using Machine learning/ deep learning
  • The project was developed to help unmanned drones in smooth navigation.
Github Links
  • https://github.com/prml615/prml
LD Experience
Client Projects
Developer
Contract
May 2022 - May 2022
SearchCo Client's Company/Project
  • Deep learning
  • Machine learning
  • Natural language processing
  • Tensorflow
  • PyTorch
  • keras
    Developer
    Contract
    Jun 2021 - Oct 2021
    Sommit Client's Company/Project
    Arts and Entertainment Industry
    • Python
    • Google Cloud
    • Built an app in Python that finds the most suitable wines based on user responses in TypeForm
    • Built & deployed the app in Google Cloud Functions
    Krishna is great to work with. He is very responsive and can think critically about the project and offer recommendations.
    Review given by the client for this project.
    Video Projects
    How to implement django-tenant-schemas with a fixed URL
    Sep 2020 - Jan 2022
    Frontend Developer
    Technology
    • Python
    • Tableau
    • Natural language processing
    • Google Cloud
    • AWS
    • AWS Lambda
    • R for Statistics
    • Led user research for a new construction site documentation tool.
    • Hosted workshops to synthesize user insights into design requirements.
    • Designed 3D concepts and built prototypes to investigate new tool form factors.
    • Researched existing digital solutions and prioritized key features for app release.
    Website Links
    • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
    • https://agile-headland-01373.herokuapp.com/
    Github Links
    • https://github.com/MainaKamau92/rickandmortycharacters
    • https://github.com/learningdollars/mainak-django-tenant-schemas
    LD Ventures
    Thea
    Sep 2020 - Jan 2022
    Frontend Developer
    Technology
    • Python
    • Tableau
    • Natural language processing
    • Google Cloud
    • AWS
    • AWS Lambda
    • R for Statistics
    • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
    • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
    • I used the REST architecture in designing my API.
    • Researched existing digital solutions and prioritized key features for app release.
    Website Links
    • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
    • https://agile-headland-01373.herokuapp.com/
    Github Links
    • https://github.com/MainaKamau92/rickandmortycharacters
    • https://github.com/learningdollars/mainak-django-tenant-schemas
    Qualifications
    Education
    IIT Gandhinagat
    Aug 2013 - May 2017
    B.Tech (Electrical Engineering)
    Courses
    Structuring Machine Learning projects
    Feb 2018 - Feb 2018
    Coursera
    • Machine learning
    Sentiment Analysis in Python
    Oct 2019 - Oct 2019
    DataCamp
    • Natural language processing
    Introduction to R
    Aug 2018 - Aug 2018
    DataCamp
    • R for Statistics
    Data Manipulation in R with Dplyr
    Aug 2018 - Aug 2018
    DataCamp
    • R for Statistics
    Intermediate R
    Sep 2018 - Sep 2018
    DataCamp
    • R for Statistics
    Building Web Applications in R with Shiny
    Mar 2019 - Mar 2019
    DataCamp
    • R for Statistics
    Building Web Applications in R with Shiny: Case Studies
    Mar 2019 - Mar 2019
    DataCamp
    • R for Statistics
    Python A-Z: Python for Data Science with Real Exercises
    Apr 2018 - Apr 2018
    Udemy
    • Python
    SQL - MySQL for Data Analytics and Business Intelligence
    Apr 2018 - Apr 2018
    Udemy
    • MySQL
    • SQL
    certified Data Structures and Algorithms-Foundation Level
    Sep 2018 - Sep 2018
    CodeChef
    • Python
    Reviews
    Client Project Reviews
    Sommit
    Krishna is great to work with. He is very responsive and can think critically about the project and offer recommendations.
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