Chakravarthi 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.
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
$20.00 /hr $ 100.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 10.5 hours
- Average Count of Messages/Day 0.7
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 29h PST, 25h UTC
- Earned Hours 9.00
- Software Engineering Process 5.0/5
- 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
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Linux
- Phone Android
- Member Since Sep 08, 2021
- Profile Last Updated Mar 05, 2024
- Last Activity April 26, 2025, 5:29 p.m. UTC
- Location India
Profile Summary
Graduated from IIT with strong Math, Analytics, and Programming background. Built fast and accurate Machine Learning models in Python. Experienced in building Computer Vision and NLP Models. Experienced handling both Structured and Unstructured data, Exploratory Data Analysis, and building reports according to Business needs using Data Visualization tools.
Skills
Total Experience: 4+ years
Data mining (4Y)
4 years of experienceMachine learning (4Y, 1C)
4 years of experience, with 1 coursePandas (4Y)
4 years of experiencescikit-learn (4Y)
4 years of experiencePython (2E, 4Y, 1C)
2 experiences, across 4 years, with 1 courseNatural language processing (4Y, 1C)
4 years of experience, with 1 courseSQL (4Y)
4 years of experienceGoogle Analytics (2E, 4Y)
2 experiences, across 4 yearsGoogle Tag Manager (2E, 4Y)
2 experiences, across 4 yearsDeep learning (2Y)
2 years of experienceOpen AI GPT-3 (2Y)
2 years of experienceLLM Large Language Models (2Y)
2 years of experienceShopify
Computer vision (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 29h PST, 25h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
10 - 20
20 - 23
20 - 23
20 - 23
20 - 23
20 - 23
10 - 20
PST
03 - 13
13 - 16
13 - 16
13 - 16
13 - 16
13 - 16
03 - 13
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
- Code Readability
Experience
Software Engineer
Employment
Sep 2021 - Present
Photon Company
Transportation Industry
Project: User Analytics
- Added Google Tag Manager container code snippets into the front-end website to track users.
- Configured GTM tags, triggers, and variables to send information.
- Information is sent to braze for digital marketing automation.
- Information is sent to Google Analytics for all the analytics work.
- Analytics include defining funnel conversions and event tracking.
Machine Learning Engineer
Employment
May 2021 - Present
BYJU'S Company
Technology Industry
Project: Product Sentiment Analysis
- Used Natural language processing models for analyzing the sentiment of product reviews.
- Text Data mining using NLTK, Python, and Pandas.
- Used Scikit-learn Machine Learning algorithms for classification.
- SQL and MongoDB Query language for Data Extraction.
Senior ML
Employment
Feb 2023 - Present
Intellect Design Arena Company
Technology Industry
Project: Statement of Values Extraction
- Leveraging Open AI ChatGPT 4 Multimodel using api keys for extracting tabular data in Statement of Values Excel data.Using Deep learning and Open AI GPT-3 also.
- Prompt Engineering and working on Few shot learning for GPT 4 model. LLM Large Language models.
- Building a streamlit application for displaying extracted tables.Python for post processing.
LD Experience
Client Projects
Developer
Contract
Apr 2022 - Apr 2022
melange.style Client's Company/Project
Ecommerce Industry
Project: melangestyle
- Used Google Analytics tool for tracking users.
- Google Tag Manager snippet of code into the front end for tracking users.
- Worked on Shopify for e-commerce objects and website hosting.
work is ongoing, too early to comment
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Data mining
- Machine learning
- Pandas
- scikit-learn
- Python
- Natural language processing
- SQL
- 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
- Data mining
- Machine learning
- Pandas
- scikit-learn
- Python
- Natural language processing
- SQL
- 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
Reviews
Client Project Reviews
melangestyle
work is ongoing, too early to comment