Krishna V
The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Machine Learning Engineer Preferred Title
$43.75 /hr $ 90.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 9.0 hours
- Average Count of Messages/Day 1.1
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 28h PST, 70h UTC
- Earned Hours 27.50
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Desktop Windows
- Phone Android
- Member Since Dec 30, 2019
- Profile Last Updated Sep 30, 2021
- Last Activity June 1, 2023, 11:49 a.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: 6+ years
Python (5E, 5Y)
5 experiences, across 5 yearsTableau (3E, 4Y)
3 experiences, across 4 yearsNatural language processing (1E, 3Y)
1 experience, across 3 yearsGoogle Cloud (2E, 3Y)
2 experiences, across 3 yearsAWS (1E, 3Y)
1 experience, across 3 yearsAWS Lambda (1E, 3Y)
1 experience, across 3 yearsR for Statistics (3E, 2Y)
3 experiences, across 2 yearsMicrosoft Excel (2E, 2Y)
2 experiences, across 2 yearsSQL (1E, 1Y)
1 experience, 1 yearPython Selenium (1E, 1Y)
1 experience, 1 yearkeras (1E, < 1Y)
1 experience, less than a yearDeep learning (1E, < 1Y)
1 experience, less than a yearMachine learning (1E, < 1Y)
1 experience, less than a year
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
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
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.
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.
LD Experience
Client Projects
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.
Coding Challenges
Skill:
- Python
- Tableau
- Natural language processing
- Google Cloud
- AWS
- AWS Lambda
- R for Statistics
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
Basic
Sep 2020 - Jan 2022
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.
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.
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.