Sujit M
Data Science Manager Preferred Title
$50.00 /hr $ 110.0K /yr Hourly Rate and Yearly Salary
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
- 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 Mac・Windows・Linux
- Phone Android
- 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 yearsDeep learning (4E, 5Y)
4 experiences, across 5 yearsMachine learning (3E, 5Y)
3 experiences, across 5 yearsNatural language processing (2E, 5Y)
2 experiences, across 5 yearsGPU accelerators (2E, 5Y)
2 experiences, across 5 yearsDocker (2E, 4Y)
2 experiences, across 4 yearsKubernetes (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 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
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)