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Sukanthen SS

@sukanthenss

DATA SCIENTIST

Coimbatore, Tamil Nadu

https://sukanthen.github.io/Databerry-API-Cluster/

iCliniq - The Virtual HospitalGUVI Networks

Sukanthen SS is a Data Scientist specializing in AI/ML and Python, with experience developing intelligent, data-fueled applications in the healthcare domain. He has worked on projects such as extractive summarization algorithms and personalized ad campaigns, significantly improving click-through rates. Proficient in cloud computing (AWS) and various databases, he possesses expertise in NLP, Deep Learning, and data pipeline architecture.

Experience

DATA SCIENTIST - AI/ML/PYTHON/CLOUD

iCliniq - The Virtual Hospital

Jun 2021 - Jan 2022

Worked with Stakeholders, and Doctors to develop intelligent data fueled applications in healthcare domain. Developed a Rule Based Extractive Summarization algorithm in healthcare domain, for clinical reports summary generation. Developed iCliniq Smart API with multiple functionalities that solves critical problems and serves iCliniq’s Platform 24*7. Helping in hiring, maintaining Interns, training doctors in digital technologies were few other roles.

DATA SCIENTIST INTERN

iCliniq - The Virtual Hospital

Dec 2020 - May 2021Coimbatore, India

Worked in iCliniq Smart Ad Campaign, wherein I built Flask based RESTful APIs that predicts personalised Ads in iCliniq's Articles and Q&A page. This Dynamic project involves building a data architecture that includes designing data pipeline, building text classifiers, web scraping and performance monitoring. With Personalised Ads, click through rate improved from 3% to 28% in just 2 weeks of deployment, with current click through rate being 22%. Developed and deployed Persona Creation API in AWS EC2 Instance, for creating User Personas from iCliniq's Patient Query Data. Maintained a team of 2 interns and trained them in Python, NLP, AWS Tech Stacks.

DATA SCIENCE INTERN

Augray XR

Jul 2020 - Aug 2020Chennai, India

Daily work includes Data Collection using Web scraping techniques, Data Annotation using CVAT (an Intel Tool) and Supervisely tools. Worked in adding new data pre-processing functionality to existing data pipeline.

Education

DR.NGP INSTITUTE OF TECHNOLOGY

B.E

BIOMEDICAL ENGINEERING

Jan 2017 - Jan 2021

Related coursework: Biomedical Image Processing, Medical devices, AI in Healthcare.

GUVI Networks

Master

Data Science

Jan 2021 - Jan 2022

Related coursework: Python, SQL, Data Analytics, Data Science, Machine Learning, Image and text data, MongoDB, Data Visualization, Data Engineering.

Licenses & Certifications

AI Strategy and Governance

University of Pennsylvania

• No expiration

Cloud Data Engineering

Duke University

• No expiration

Skills

Python
JavaScript
Machine Learning
NLP
Deep Learning
AI Governance and Strategy
Analytics
Mining
Insights
Cleaning and Structuring
Tabular Data
Text
Images
Tableau
Power BI
Microsoft Excel
Google Data Sheets
AWS
Heroku
IBM Watson
MongoDB
S3 Buckets
DynamoDB
MySQL