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Sujit M - Python developerLD Talent logo

Sujit M

Data Science Manager Preferred Title
$50.00 /hr $ 110.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.4
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 45h PST, 55h UTC
Vetting Summary
  • 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
Talent's Devices
  • Desktop Mac・Windows・Linux
  • Phone Android
General
  • Member Since Apr 25, 2020
  • Profile Last Updated Aug 01, 2022
  • Last Activity Feb. 1, 2023, 9:27 a.m. UTC
  • Location India
Profile Summary
I am currently working as a Data Science Manager IC role in the Insurance domain where I am responsible for designing end-to-end systems and training custom models. These models perform extractive question answering on pdf and images using its layout information. My previous experience was building summarization models for Earning Call transcripts in the London Stock Exchange Group(LSEG). My past experiences also include developing NER systems, conversational bots, fact-based question answering.
Skills
Total Experience: 5+ years
  • Python (2E, 5Y)

    2 experiences, across 5 years
  • Deep learning (4E, 5Y)

    4 experiences, across 5 years
  • Machine learning (3E, 5Y)

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

    2 experiences, across 5 years
  • GPU accelerators (2E, 5Y)

    2 experiences, across 5 years
  • Docker (2E, 4Y)

    2 experiences, across 4 years
  • Kubernetes (1E, 2Y)

    1 experience, across 2 years
Weekly Availability
Timezone Overlap Per Week: 45h PST, 55h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
10 - 22
10 - 22
10 - 22
10 - 22
10 - 22
PST
03 - 15
03 - 15
03 - 15
03 - 15
03 - 15
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Developer
Employment
Oct 2021 - Present
LineSlip Solutions Company
Technology Industry
Project: Extractive Question answering
  • Deep learning
  • I used deep learning transformers for extracting different information from insurance-related pdf and images.
  • extractive question answering was done where we used to extract information from tables and free-form texts.
Developer
Employment
Oct 2017 - Present
Active.ai Company
Finance Industry
Project: AI Developer
  • Deep learning
  • Machine learning
  • GPU accelerators
  • Python
  • Natural language processing
  • Conversational Bot: Built NER module for chatbot using natural language processing and python.
  • Built translation module for English to Thai using machine learning and deep learning.
  • Built natural language generation module for generating FAQ questions.
  • Used Nvidia GPU accelerators to train and finetune several models
Lead NLP Data Scientist
Employment
Jan 2021 - Present
London Stock Exchange Group Company
Finance Industry
Project: Text Summarization, FXT Dealing
  • Deep learning
  • Machine learning
  • GPU accelerators
  • Python
  • Docker
  • Summarise Earning Call Transcripts to help Analysts gather quick and precise information. Used Python and deep learning for NLP. Productionized the code using docker containers.
  • Extract attributes for foreign exchange trading using machine learning. Used machine learning to identify and extract attributes.
  • Used Nvidia GPU accelerators to train and finetune several models
Developer
Employment
Nov 2018 - Jan 2021
Reliance JIO Company
Healthcare Industry
Project: Senior Data Scientist
  • Deep learning
  • Machine learning
  • Natural language processing
  • Docker
  • Kubernetes
  • AIDoctor: Used natural language processing techniques to extract the medical entities. Designed AIDoctor.
  • QuestionAnswering for Factoid questions using machine learning and deep learning
  • Built a reading comprehension on disease data. Enhancing retail search. Deployed it using Kubernetes and Docker.
Qualifications
Education
Biju Pattnaik University of Technology Biju Pattnaik University of Technology
Jul 2008 - Jul 2012
B.Tech (Computer Science)
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