Green leaf




Krishna V - Python developer
Member since:Dec 30, 2019
Profile last updated:Sep 30, 2021
Last activity:Feb. 1, 2023, 4:18 p.m. UTC
Location:
India

Krishna V

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:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 70 hours
DayUTCPST
Sun07 - 1723 - 09
Mon07 - 1723 - 09
Tues07 - 1723 - 09
Wed07 - 1723 - 09
Thurs07 - 1723 - 09
Fri07 - 1723 - 09
Sat07 - 1723 - 09

Hourly Rate:$43.75
Experience:6 yrs
Python:5 yrs
Tableau:4+ yrs
Natural language processing:3 yrs
Google Cloud:3 yrs
AWS:3 yrs
AWS Lambda:3 yrs
R for Statistics:2 yrs
Engineer's Devices:
Windows
Android,

LD Talent Work History

Average response time:
9.0 hours
Avg count of messages / Day:
1.2
Average client satisfaction:

Earned hours:
27.50
Worksession approval:
100.0%
# Hires / # Interviews :
2 / 6
 

Experiences

Organifi     Consumer & Marketing Analytics in Ecommerce     Data Scientist     Employment
Apr 2020 - Present
Ecommerce

  • 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.

Skills used: Tableau, Natural language processing, Python, Google Cloud, AWS, AWS Lambda


Sommit     Developer     Contract
Jun 2021 - Oct 2021
Arts and Entertainment

  • 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

Skills used: Python, Google Cloud


Self     Self Service Banking application uilt in R Shiny     Data Scientist     Passion Project
Dec 2019 - Jan 2020
Finance

  • 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.

Skills used: R for Statistics



Link to the github:
JP Morgan Chase & Co     Merchant Onboarding for Credit Cards     Analyst     Employment
May 2019 - Dec 2019
Finance

  • 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.

Skills used: R for Statistics


Tredence Analytics     Rretail Analytics for Walmart     Business Analyst     Employment
Jun 2018 - May 2019
Technology

  • 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

Skills used: Tableau, R for Statistics, Python, Microsoft Excel, SQL


Capgemini     Data Revamp     Sr. Software Engineer     Employment
Dec 2017 - Jul 2018
Technology

  • 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.

Skills used: Tableau, Python, Microsoft Excel, Python Selenium


IIT Gandhinagar     Semantic scene segmentation with Multimodal Full CNN     Student     Passion Project
May 2017 - Jul 2017
Research

  • 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.

Skills used: Deep learning, Machine learning, Python, keras



Link to the github:

Education

IIT Gandhinagat    B.Tech  (Electrical Engineering)
Aug 2013 - May 2017

Courses

Structuring Machine Learning projects    Coursera
Feb 2018 - Feb 2018
Skills learnt: Machine learning
Sentiment Analysis in Python    DataCamp
Oct 2019 - Oct 2019
Skills learnt: Natural language processing
Introduction to R    DataCamp
Aug 2018 - Aug 2018
Skills learnt: R for Statistics
Data Manipulation in R with Dplyr    DataCamp
Aug 2018 - Aug 2018
Skills learnt: R for Statistics
Intermediate R    DataCamp
Sep 2018 - Sep 2018
Skills learnt: R for Statistics
Building Web Applications in R with Shiny    DataCamp
Mar 2019 - Mar 2019
Skills learnt: R for Statistics
Building Web Applications in R with Shiny: Case Studies    DataCamp
Mar 2019 - Mar 2019
Skills learnt: R for Statistics
Python A-Z: Python for Data Science with Real Exercises    Udemy
Apr 2018 - Apr 2018
Skills learnt: Python
SQL - MySQL for Data Analytics and Business Intelligence    Udemy
Apr 2018 - Apr 2018
Skills learnt: MySQL, SQL
certified Data Structures and Algorithms-Foundation Level    CodeChef
Sep 2018 - Sep 2018
Skills learnt: Python

Client Reviews

Sommit:    
Krishna is great to work with. He is very responsive and can think critically about the project and offer recommendations.